Calculate the test statistic What range of Pvalues does th.pdf

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Calculate the test statistic. What range of P-values does the test statistic correspond to? The following data represent the level of health and the level of education for a random sample of 1632 residents. Complete parts (a) and (b) below. Click the icon to view the Chi-Square table of critical values. (a) Does the sample evidence suggest that level of education and healh are independent at the a=0.05 level of significance? Conduct a P-value hypothess test. State the hypotheses. Choose the correct answor bolow. A. H0:1=E1 and 2=E2 and 3=E3 and 4=E4 H1: At least one mean is diflerent from what is expected. E. H0 : Level of education and health are independent. H1 : Level of education and health are dependent. c. H0:p1=p2=p2 H1: At least one of the proportions are not equal. Calculate the test statistic. x02= (Round to three decimal plases as needed).

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Week 2 Testing means - T-tests In questions 2 and 3, be sure to include the null and alternate hypotheses you will be testing. In the first 3 questions use alpha = 0.05 in making your decisions on rejecting or not rejecting the null hypothesis. 1 Below are 2 one-sample t-tests comparing male and female average salaries to the overall sample mean. (Note: a one-sample t-test in Excel can be performed by selecting the 2-sample unequal variance t-test and making the second variable = Ho value -- see column S) Based on our sample, how do you interpret the results and what do these results suggest about the population means for male and female average salaries? Males Females Ho: Mean salary = 45 Ho: Mean salary = 45 Ha: Mean salary =/= 45 Ha: Mean salary =/= 45 Note: While the results both below are actually from Excel's t-Test: Two-Sample Assuming Unequal Variances, having no variance in the Ho variable makes the calculations default to the one-sample t-test outcome - we are tricking Excel into doing a one sample test for us. Male Ho Female Ho Mean 52 45 Mean 38 45 Variance 316 0 Variance 334.667 0 Observations 25 25 Observations 25 25 Hypothesized Mean Difference 0 Hypothesized Mean Difference 0 df 24 df 24 t Stat 1.96890383 t Stat -1.9132 P(T<=t) one-tail 0.03030785 P(T<=t) one-tail 0.03386 t Critical one-tail 1.71088208 t Critical one-tail 1.71088 P(T<=t) two-tail 0.0606157 P(T<=t) two-tail 0.06772 t Critical two-tail 2.06389856 t Critical two-tail 2.0639 Conclusion: Do not reject Ho; mean equals 45 Conclusion: Do not reject Ho; mean equals 45 Is this a 1 or 2 tail test? Is this a 1 or 2 tail test? - why? - why? P-value is: P-value is: Is P-value > 0.05? Is P-value > 0.05? Why do we not reject Ho? Why do we not reject Ho? Interpretation: 2 Based on our sample data set, perform a 2-sample t-test to see if the population male and female average salaries could be equal to each other. (Since we have not yet covered testing for variance equality, assume the data sets have statistically equal variances.) Ho: Ha: Test to use: Place B43 in Outcome range box. P-value is: Is P-value < 0.05? Reject or do not reject Ho: If the null hypothesis was rejected, what is the effect size value: Meaning of effect size measure: Interpretation: b. Since the one and two sample t-test results provided different outcomes, which is the proper/correct apporach to comparing salary equality? Why? 3 Based on our sample data set, can the male and female compas in the population be e.

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Score: Week 4 Confidence Intervals and Chi Square (Chs 11 - 12) For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions. For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed. <1 point> 1 Using our sample data, construct a 95% confidence interval for the population's mean salary for each gender. Interpret the results. How do they compare with the findings in the week 2 one sample t-test outcomes (Question 1)? Mean St error t value Low to High Males Females Interpretation: <1 point> 2 Using our sample data, construct a 95% confidence interval for the mean salary difference between the genders in the population. How does this compare to the findings in week 2, question 2? Difference St Err. T value Low to High Yes/No Can the means be equal? Why? How does this compare to the week 2, question 2 result (2 sampe t-test)? a. Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-sample techniques when comparing two samples? <1 point> 3 We found last week that the degree values within the population do not impact compa rates. This does not mean that degrees are distributed evenly across the grades and genders. Do males and females have athe same distribution of degrees by grade? (Note: while technically the sample size might not be large enough to perform this test, ignore this limitation for this exercise.) What are the hypothesis statements: Ho: Ha: Note: You can either use the Excel Chi-related functions or do the calculations manually. Data input tables - graduate degrees by gender and grade level OBSERVED A B C D E F Total If desired, you can do manual calculations per cell here. M Grad A B C D E F Fem Grad M Grad Male Und Fem Grad Female Und Male Und Female Und Sum = EXPECTED M Grad For this exercise - ignore the requirement for a correction factor Fem Grad for cells with expected values less than 5. Male Und Female Und Interpretation: What is the value of the chi square statistic: What is the p-value associated with this value: Is the p-value <0.05? Do you reject or not reject the null hypothesi.

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For this assignment, use the aschooltest.sav dataset. The dataset consists of Reading, Writing, Math, Science, and Social Studies test scores for 200 students. Demographic data include gender, race, SES, school type, and program type. Instructions: Work with the aschooltest.sav datafile and respond to the following questions in a few sentences. Please submit your SPSS output either in your assignment or separately. 1. Identify an Independent and Dependent Variable (of your choice) and develop a hypothesis about what you expect to find. ( note: the IV is a grouping variable, which means it needs to have more than 2 categories and the DV is continuous) 2. Run Assumption tests for Normality and initial Homogeneity of Variance. What are your results? 3. Run the one-way ANOVA with the Levene test & Tukey post hoc test. a. What are the results of the Levene test? What does this mean? b. What are the results of the one-way ANOVA (use notation)? What does it mean? c. Are post hoc tests necessary? If so, what are the results of those analyses? 4. How do your analyses address your hypotheses? Is concentration of single parent families associated with reading scores? Using the AECF state data, the regression below measures the effect of the state's percentage of single parent families on the percentage of 4th graders with below basic reading scores. %belowbasicread = β0 + β1x%SPF + u Stata Output 1) Please write out the regression equation using the coefficients in the table 2) Please provide an interpretation of the coefficient for SPF 3) How does the model fit? 4) What is the NULL hypothesis for a T test about a regression coefficient? 5) What is the ALTERNATE hypothesis for a T test about a regression coefficient? 6) Look at the p value for the coefficient SPF. a) Report the p value b) How many stars would it get if we used our standard convention? * p ≤ .1 ** p ≤ .05 *** p ≤ .01 image1.png Two-Variable (Bivariate) Regression In the last unit, we covered scatterplots and correlation. Social scientists use these as descriptive tools for getting an idea about how our variables of interest are related. But these tools only get us so far. Regression analysis is the next step. Regression is by far the most used tool in social science research. Simple regression analysis can tell us several things: 1. Regression can estimate the relationship between x and y in their original units of measurement. To see why this is so useful, consider the example of infant mortality and median family income. Let’s say that a policymaker is interested in knowing how much of a change in median family income is needed to significantly reduce the infant mortality rate. Correlation cannot answer this question, but regression can. 2. Regression can tell us how well the independent variable (x) explains the dependent variable (y). The measure is called the R square. Simple Tw ...

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Chapter 18 – Pricing Setting in the Business World There are few Methods for setting pricing – costs methods vs demand methods Formulas considering costs and mark up will help you to do the Problem set assignment: 1. Markup for setting prices (Mark up $ = SP-CP); MARK UP % = (MU $/SP) X100) Formula for setting price with the markup method SP = Cost/(1- Markup %) Example - retailer buys A hat for $15 and wants a 40% markup, his selling price would be…. SP = 15/(1-.40)=.60 = $25.00 2. Understand Role of different costs – fixed, variable, total costs and average costs 3. What is the breakeven point? Formula for calculating the Break Even point. BE = Total Fixed Cost/Fixed cost contribution Fixed Cost Contribution=Price – variable cost 4. Average Cost = when there are many flavors/types of the same product, producer determines average cost and then add the mark up to set a common selling price. .ANOVA Analysis of Variance is a method of testing the equality of three or more population means by analyzing sample variance. One-Way ANOVA The one-way ANOVA is used to compare three or more population means when there is one factor of interest. Requirements  The populations have distributions that are approximately normal.  The populations have the same variance.  The samples are simple random samples of quantitative data.  The samples are independent of each other.  The different samples are from populations that are categorized in only one. way One-Way ANOVA is a hypothesis test. There are seven steps for a hypothesis test. Example A professor at a local University believes there is a relationship between head size and the major of the students in her biostatistics classes. She takes a random sample of 20 students from each of three classes and records their major and head circumference. The data are shown in the following table. Step 1: State the null hypothesis. Mean 1 equals mean 2 equals mean 3 equals mean 4. Step 2: State the Alternative hypothesis. At least one mean is different. Step 3: State the Level of Significance. The level of significance is 0.05. Step 4: State the test statistic. variance between samples variance within samples F  The test statistic follows the F distribution which has two degrees of freedom, one for the numerator and one for the denominator. The calculations for the test statistic are complicated, so a software program is generally used for the calculations. We will be using Microsoft Excel for this example. Step 5: Calculate The calculations are done in Microsoft Excel using the data analysis toolpak. Enter the data into the spread sheet as shown here. Click on data and the data analysis tookpak button is on the right. When you click on the button a dialogue box appears. Choose ANOVA One Factor. Then another dialogue box appears. Input range is where the data is in the table. Be sure to put a check in the box for labels in.

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Week 4 Confidence Intervals and Chi Square (Chs 11 - 12) For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions. For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed. 1 Using our sample data, construct a 95% confidence interval for the population's mean salary for each gender. Interpret the results. How do they compare with the findings in the week 2 one sample t-test outcomes (Question 1)? Mean St error t value Low to High Males Females Interpretation: 2 Using our sample data, construct a 95% confidence interval for the mean salary difference between the genders in the population. How does this compare to the findings in week 2, question 2? Difference St Err. T value Low to High Yes/No Can the means be equal? Why? How does this compare to the week 2, question 2 result (2 sampe t-test)? a. Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-sample techniques when comparing two samples? 3 We found last week that the degree values within the population do not impact compa rates. This does not mean that degrees are distributed evenly across the grades and genders. Do males and females have athe same distribution of degrees by grade? (Note: while technically the sample size might not be large enough to perform this test, ignore this limitation for this exercise.) What are the hypothesis statements: Ho: Ha: Note: You can either use the Excel Chi-related functions or do the calculations manually. Data input tables - graduate degrees by gender and grade level OBSERVED A B C D E F Total If desired, you can do manual calculations per cell here. M Grad A B C D E Fem Grad M Grad Male Und Fem Grad Female Und Male Und Female Und Sum = EXPECTED M Grad For this exercise - ignore the requirement for a correction factor Fem Grad for cells with expected values less than 5. Male Und Female Und Interpretation: What is the value of the chi square statistic: What is the p-value associated with this value: Is the p-value <0.05? Do you reject or not reject the null hypothesis: If you rejected the null, what is the Cramer's V correlation: What does this correlation mean? What does this .

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Cada ao en los Estados Unidos, cientos de iglesias cristianas celebran el cumpleaos de Charles Darwin. Hacen esto para enfatizar el hecho de que la seleccin natural es compatible con su fe. Y ha sido la posicin de la Iglesia Catlica desde 1950 que la evolucin es real, y que la teora de la seleccin natural parece ser vlida. Entonces, dado que la seleccin natural no dice que no hay dios, y no dice que dios no cre a los humanos, por qu los conceptos de evolucin y seleccin natural siguen siendo problemticos para algunos?.

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Can you please add comments so I can understand it. Thank you so much V. Use either a Venn Diagram or a Leibniz Diagram to confirm (or deny) the validity of the following arguments. Be sure to use statement variables for clarity, if needed. a) No things derived from sensory impressions are items of knowledge of substance itself. All items of knowledge are things derived from sensory impressions Therefore, no items of knowledge are items of knowledge of substance itself. b) All bankrupt companies are companies unable to pay interest on their debts. Barcelona Traction is a company unable to pay interest on its debts. Therefore, Barcelona Traction is a bankrupt company. c) No gold is base metal. Some base metals are things that glitter. Therefore, some things that glitter are not gold..

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can you help me write this code in .Net Maui App please thank you Make Reservation When a travel agent selects a flight from the list, the text fields are populated with the selected flight code, airline, day, time and cost. The travel agent enters the travellers full name and citizenship. The flight code, airline, day, time and cost cannot be edited. An error message is displayed if: A reservation is to be made but no flight is selected The name field is empty The citizenship field is empty The makeReservation method receives as its input arguments: a Flight object, the travelers name and citizenship. An exception is thrown if the flight is completely booked, or the flight is null, or the name is empty/null, or the citizenship is empty/null. If there are no exceptions thrown a Reservation object is created, saved to the binary file and returned by the method. Find Reservations A travel agent can search for an existing reservation that contains the specified reservation code, and/or airline and/or travellers full name. The list is populated with any reservations that are found. Each row in the list displays the code of the corresponding reservation record. The findReservation method receives as its input arguments: reservation code, airline and/or travelers full name. The method returns a list of matching Reservation objects. If no matches are found, the list control is empty. If the user doesnt enter any input, then all the reservations are displayed in the list. Update Reservation When a reservation in the list generated by the findReservation method is selected, the corresponding fields are populated, displaying the following information: Reservation code Flight code Airline name Cost Name Citizenship Status (active or inactive) The only fields that can be edited are the name, citizenship and status. None of the other fields can be modified in any way by the user. After the travel agent has made changes to the reservation, they click the Update button. The mutator methods in the Reservation object are called and an error is displayed if an exception occurs. The persist method in the ReservationManager class saves all Reservation objects to a binary file on the hard drive. Notes The ReservationManager class generates the reservation code. Each reservation is for one seat only. The name and citizenship do not need to follow any specific format; however, they cannot be empty. Each problem domain class overrides the toString() method. Flight codes use the following format: (L meaning letter, D meaning digit) LL-DDDD (e.g.: GA-1234) Reservation codes use the following format: (L meaning Letter, D meaning Digit) LDDDD (e.g., I1234) Times are in 24-hour format: HH:MM Reservations Loesing Reseresion coofir Reserve fager fryal coule Aurire Auriene Day Cont. tires Nunes Crumense Nare Stin n Aative.

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Can You build the web based project Homepage for me? Home Page: After login, all the summary will be shown in this page. Update Account Details: In this feature, all the users except visitors and lawyers can access and update or delete their account information. Access Control System: Admin can control the access of all the users. He can add or remove access of any of the user. Update System Information: Only administrator will have access to this feature to update any sort of system. Cell Block Management: In here, cell block information will be stored the number of cells added or blocked. It will be managed by the guards. View Cell Block Details Add New Cell Block Edit/Update Cell Block Details Delete Cell Block Crime Management: All of crimes will be listed in this section. It will have a complete record. View Crime Details Add New Crime List All Crimes Edit/Update Crime Details View Crime Details Delete Crime Prisoner Management: Prisoners details will be stored here for which crime they are imprisoned and penalty details. Itll be managed by the officers. View Prisoner Details Add New Prisoner List All Prisoner Edit Prisoner Details Update Prisoner Visitor Privilege Print Prisoner Details Add Penalty Record List All Penalty Records Delete Penalty Record Weekly/Monthly Prisoner Report Guard Management: The number of guards and how many cell blocks are under each guard will be recorded here. View Guard Details Add New Guard List All Guard Details Edit Guard Details Delete Guard Details Staff : There will be few staffs to manage the other things Meal Management Health Management Prisoners Request Visitor Management: Number of people visiting the prison each will be recorded here. It will have all the details about the visitors how many times they have been here in a week, their relationship with the prisoner etc. Officers will update the record every day. View Visitor Details Add New Visitor List All Visitor Details Edit Visitor Details Delete Visitor Details Weekly/Monthly Visitor Records Visitors will have access to some features View Prisoner Details Request portal Lawyer Management: Lawyers defending each prisoner will be listed here. Officers can update their information. View Lawyer Details Add New Lawyer List All Lawyer Details Edit Lawyer Delete Lawyer Lawyers will have access to some features View Prisoner Details Request portal View Prisoner Reports Meal Management: Meal and food services for all prisoners, guards and stuffs will be sorted here. Staffs will have access to the segment. Add Meal Records View Meal Details Update Meal Details List Meal Details Weekly/Monthly Meal Records Duty Management: In the Duty Management, the timings, schedules and miscellaneous of all the guards, and stuffs will be updated consecutively by the officers. Add Duty Schedule Edit Duty Schedule Delete Duty Schedule View Duty Details List All Duty Details Prisoners Request Management: Prisoners requests will be listed here by the staffs and then it wi.

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Can You build the web based project for me? Home Page: After login, all the summary will be shown in this page. Update Account Details: In this feature, all the users except visitors and lawyers can access and update or delete their account information. Access Control System: Admin can control the access of all the users. He can add or remove access of any of the user. Update System Information: Only administrator will have access to this feature to update any sort of system. Cell Block Management: In here, cell block information will be stored the number of cells added or blocked. It will be managed by the guards. View Cell Block Details Add New Cell Block Edit/Update Cell Block Details Delete Cell Block Crime Management: All of crimes will be listed in this section. It will have a complete record. View Crime Details Add New Crime List All Crimes Edit/Update Crime Details View Crime Details Delete Crime Prisoner Management: Prisoners details will be stored here for which crime they are imprisoned and penalty details. Itll be managed by the officers. View Prisoner Details Add New Prisoner List All Prisoner Edit Prisoner Details Update Prisoner Visitor Privilege Print Prisoner Details Add Penalty Record List All Penalty Records Delete Penalty Record Weekly/Monthly Prisoner Report Guard Management: The number of guards and how many cell blocks are under each guard will be recorded here. View Guard Details Add New Guard List All Guard Details Edit Guard Details Delete Guard Details Staff : There will be few staffs to manage the other things Meal Management Health Management Prisoners Request Visitor Management: Number of people visiting the prison each will be recorded here. It will have all the details about the visitors how many times they have been here in a week, their relationship with the prisoner etc. Officers will update the record every day. View Visitor Details Add New Visitor List All Visitor Details Edit Visitor Details Delete Visitor Details Weekly/Monthly Visitor Records Visitors will have access to some features View Prisoner Details Request portal Lawyer Management: Lawyers defending each prisoner will be listed here. Officers can update their information. View Lawyer Details Add New Lawyer List All Lawyer Details Edit Lawyer Delete Lawyer Lawyers will have access to some features View Prisoner Details Request portal View Prisoner Reports Meal Management: Meal and food services for all prisoners, guards and stuffs will be sorted here. Staffs will have access to the segment. Add Meal Records View Meal Details Update Meal Details List Meal Details Weekly/Monthly Meal Records Duty Management: In the Duty Management, the timings, schedules and miscellaneous of all the guards, and stuffs will be updated consecutively by the officers. Add Duty Schedule Edit Duty Schedule Delete Duty Schedule View Duty Details List All Duty Details Prisoners Request Management: Prisoners requests will be listed here by the staffs and then it will be rev.

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Can you answer these True or False questions for me please. (This was already answered but seems some answers are wrong so i want to make sure) 1- Chilean economic policies from the 1970s were focused on helping the cooper and mining industry and other sectors to secure the best technology globally to be competitive ? True or False 2- It will take years for the global economy to recover from corona COVID 19 ? True or False 3- Wise policymakers today recognize that it is entrepreneur training and technology that will help modern economies survive the tsunami of globalization ? True or False 4- Using the U6 unemployment data measure, in May 2020, US unemployment hit 25.2% ? True or False 5- A generation of low-skilled US manufacturing workers were left behind during the 2000s and they voted en masse in 2016 for protectionist President Trump who committed to bring their jobs back to the USA ? True or False 6- U6 also covers workers who have given up looking for work and part timers who are seeking full-time employment ? True or False 7- The role of State Trade programs is to focus on finding small businesses in their state that have export potential in targeted industries where they have competitive advantage, assist them in researching and finding new markets to find competent local partners, and get out of the way ? True or False.

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Can someone please help with this :) Now that you have completed the Punnete squaies you can ule this information to pecdict the Probability of specific outcomes in the F2, 2. Each of the four boxes represents a one in four (or 25% ) chance or probabilicy of a genorype. What is the genotypic ratio for this cross? 3. For each of the above genotypes, give the phenorype that would be expressod in the F2 generation. 4. What is the phenotypic ratio for this cross? SECTION 5: DIHYBRID CROSSES UP to this point, you have considered genetic crosses that involved a single trait controlled by 2 single gene (monohybrid cross). Mendel also made crosses that involved two genes, each located on a different pair of homologous chromosomes. This type of cross is called a dihybrid cross and illustrates Mendel's Law of Independent Assortment. Mendel demonstrated that when two traits are determined by genes located on two different chromosomes, each pair of alleles segregates independently of one another during gamete formation. The different possible allele combinations that result from meiosis are illustrated in Figure 8-3. Two equallv probable arranaements of chromosomes at metaphase l:Step 9: Phenotypic ratio of F2 Tongue roller, Taster Tongue roller, Non-taster Non-roller, Taster Non-roller, Non-taster.

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Can someone please help me complete the "add_song" function below. Thank you! // Each song has this information: song's id, song's name, singer's name, genre of the song, and its published year. // The struct 'musicRepository' holds information of one song. Genre is enum type. // An array of structs called 'list' is made to hold the list of songs. // You should not modify any of the given code, the return types, or the parameters, you will risk of getting compilation error. // You are not allowed to modify main (). // You can use string library functions. #include <stdio.h> #include <stdlib.h> #include <string.h> #pragma warning(disable : 4996) // for Visual Studio Only #define MAX_SONGS 20 #define MAX_SONG_NAME_LENGTH 40 #define MAX_SINGER_NAME_LENGTH 40 typedef enum { unclassified = 0, Pop, Rock, Reggae, Country, Blues, Balad, } genreType; // enum type struct musicRepository { // struct for song details unsigned int ID; char songName[MAX_SONG_NAME_LENGTH]; char singerName[MAX_SINGER_NAME_LENGTH]; genreType genre; unsigned int year; }; struct musicRepository list[MAX_SONGS]; // declare the list of songs int numSongs = 0; // the number of songs currently stored in the list (initialized to 0) // This function takes in an array of musicRepository structures and the size of the array as parameters. It then loops through each index of the array and sets the values of id, year, genre, name, and singer to their respective initial values. // NOTE that strcpy is used to copy an empty string to name and singer, rather than setting them equal to "". This is because arrays in C are not assignable, so the strcpy function must be used to copy the empty string into the array. void initializeRepository(struct musicRepository repo[], int size) { for (int i = 0; i < size; i++) { repo[i].ID = 0; repo[i].year = 0; repo[i].genre = 0; strcpy(repo[i].songName, ""); strcpy(repo[i].singerName, ""); } } // This function takes in the musicRepository array and iterates through each element. If the ID of the song is not 0, it prints the details of the song. void printRepository(struct musicRepository repo[], int numSongs) { printf("n--- Song Repository ---n"); for (int i = 0; i < numSongs; i++) { if (repo[i].ID != 0) { printf("ID: %dn", repo[i].ID); printf("Name: %sn", repo[i].songName); printf("Singer: %sn", repo[i].singerName); if (repo[i].genre == 0) printf("Genre: unclassifiedn"); else if (repo[i].genre == 1) printf("Genre: Popn"); else if (repo[i].genre == 2) printf("Genre: Rockn"); else if (repo[i].genre == 3) printf("Genre: Reggaen"); else if (repo[i].genre == 4) printf("Genre: Countryn"); else if (repo[i].genre == 5) printf("Genre: Bluesn"); else if (repo[i].genre == 6) printf("Genre: Baladn"); printf("Year: %dn", repo[i].year); printf("n"); } } } // Problem 2 // struct to hold information about a song struct Song { int id; char name[MAX_SONG_NAME_LENGTH]; char singer[MAX_SINGER_NAME_LENGTH]; genreType genre; int year; struct Song* next; }; // Function declarati.

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can someone please assist me with analysis of this case atudy VAKRANGEE: ANATOMY OF STOCK VALUATION 1 Poga Gupti and Zahid Jamar wrote this case solby to provide matorial for chas discussion. The authors do not intond to iflustrate either oflective or innflloctive handing of a managonial sihution. The authors may have disguised certain names and other idantifying information to protect confidentilith. This publication may not be transmitted, pholocopied, digitinod, or othorwise reproduced in any form or by any moans without the pormissian of the copynight holder. Reproduction of this material is not covered under autherization by any reproduction rights organization. To arder copies or nequest pemission to reproduce materials, contact Ney Pubbishing. Avey Business School, Westem Cogyright 92020, Ney Business School Foundation Vorsion: 20200703 On April 20, 2018, Priyankar Khandelwal was furious as he watched the stock value from his fund seemingly evaporate right in front of his eyes. Khandelwal, the fund manager at Principal First, had been managing the mid-sized information technology (IT) fund for the previous five years. Khandelwal asked his assistant to put in a sell order to cover his long position 2 in Vakrangee Limited (Vakrangee) at a substantial loss. He had bought the stock in the beginning of October 2017. The stock hit a high in Jamuary 2018 but had subsequently been sliding (see Exhibit 1). In his fund, Khandelwal had allocated a substantial amount to Vakrangee in the initial investment. Based on the current market price of the stock, there was a net loss of 169 million 3 and a loss of 592 million unrealized from the top for the fund. 4 This loss caused the net asset value of the fund to fall by 35 per cent year to date, because Khandelwal had not hedged his position. Khandelwal's clients were irate, and more than 25 per cent of his firm's investors had withdrawn their money from the fund. Principal First had also reprimanded him and put him on notice. Khandelwal wondered where he went wrong in his analysis of Vakrangee. He had done the valuation exercise himself, checked and cross-checked his assumptions, looked at industry and credit reports, and had found it to be a good stock with good future prospects. What had he missed? What could he have done better? PRINCIPAL FIRST Principal First was a Mumbai-based boutique investment management and investment advisory firm. The investment objective of the firm was to deliver notable risk-adjusted retums consistently while ensuring capital preservation. The firm was founded in 2005 and had been an carly investor in the Indian alternative 'This case was awarded an honourable mention in the the ISB-lvey Global Case Compettion 2018. The prize was sponsored by ISB. 2 A long position was the buying of a stock, commodity, or currency with the expectation that it (would] rise in value; "Long Position (Long)," Investopedia, March 20, 2020, accessed April 6, 2010, www. investopedia.com/terms/Vi.

can someone please assist me with analysis of this case atud.pdf

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can someone help me with this class ENVS 200-040 Pollution is the introduction of contaminants into the natural environment that can cause adverse effect to the environment and human health. Pollution can take the form of chemical, biological, physical or radiological. Pollutants, the components of pollution, can be either manmade (Anthropological) or naturally occurring contaminants (In nature). Pollution is often classed as point source (know where it is coming from) or nonpoint source (can't identify the exact location) pollution. What are some of the causes/sources of pollution? Examine some of the effects of pollution to humans. How do the other 2Ps (Population and Poverty) contribute to or influence pollution? What would you consider as some solutions to the pollution problem?.

can someone help me with this class ENVS 200040 Pollution.pdf

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Can someone help me with these questions 1 Main structures.pdf

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Can someone help with these functions doAddTweet doEditTwe.pdf

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