Measures Of Central Tendency

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Homework #1 SOCY 3115 Spring 20 Read the Syllabus and FAQ on how to do your homework before beginning the assignment! To get consideration for full credit, you must: · Follow directions; · Show all work required to arrive at answer (statistical calculations often require multiple steps, so you need to write these down, not just skip to the final answer) · Use appropriate statistical notation at all times (e.g. if you are calculating a population mean, begin with the equation for population mean) · Use units in your answer, where appropriate (e.g. a mean time would be “6.5 hours” rather than just “6.5”) Understanding the Structure of Data 1. For the following rectangular dataset: Id Highest degree Works full-time Annual income cat 1 Did not grad HS Yes Low 2 HS dip Yes Low 3 HS dip No Med 4 BA No Low 5 BA Yes Med 6 MA Yes High 7 HS dip Yes Med a. What is the unit-of-analysis of the dataset? b. How many variables are in the dataset? c. How many observations/cases are in the dataset? d. For eachvariable that is not named “id”: i. What is the variable name? ii. What is the level-of-measurement? iii. What are the values for the variable? iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”) 2. For the following rectangular dataset: Id num_bdrms num_bthrms sqft Ranch 1 4 3 3200 Yes 2 2 1.5 2800 Yes 3 2 1 1200 Yes 4 3 2 1500 No 5 2 2 1100 No a. What is the unit-of-analysis of the dataset? b. How many variables are in the dataset? c. How many observations/cases are in the dataset? d. For each variable that is not named “id”: i. What is the variable name? ii. What is the level-of-measurement? Before answering, be sure to consult the slide called “Level of measurement – language to use”. Use the formal language! iii. What are the values for the variable? iv. If you had to make a guess, what do you think the “question” was that was asked of the unit-of-analysis to get these data? (for example, if we had a continuous variable called “num_pets” the question might be “How many pets live in your household?”) 3. For each of the following questions (1) construct a dataset with one variable and three observations (2) add data that could have theoretically been collected (just make up the actual responses to the question); and (3) indicate the level-of-measurement of the variable. I’ve done two examples for you. Example#1: What is your current age? (individual is the unit-of-analysis) idage 1 25 2 32 3 61 The age variable is continuous/interval ratio. Example#2: What is the size of this hospital based on number of beds? (hospital is the unit-of-analysis)? Answers can be small (1-100 beds), medium (101-500 beds), large (501 beds to 1000 beds), extra large (1001+ beds) idhosp_size 1 med 2 med 3 ext ...

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Chapter 7 Estimation Chapter Learning Objectives 1. Explain the concepts of estimation, point estimates, confidence level, and confidence interval 2. Calculate and interpret confidence intervals for means 3. Describe the concept of risk and how to reduce it 4. Calculate and interpret confidence intervals for proportions In this chapter, we discuss the procedures involved in estimating population means and proportions based on the principles of sampling and statistical inference discussed in Chapter 6 (“Sampling and Sampling Distributions”). Knowledge about the sampling distribution allows us to estimate population means and proportions from sample outcomes and to assess the accuracy of these estimates. Consider three examples of information derived from samples. Example 1: Based on a random sample of 1,019 U.S. adults, a March 2016 Gallup poll found that the percentage of Americans who identify as environmentalists has decreased. Compared with the 1991 high of 78%, in 2016 only 42% of Americans self-identified as environmentalists. In its report, Gallup attributed the decline to several factors, including the adoption of routine environmental friendly practices and the politicization of environmental issues.1 Example 2: Every other year, the National Opinion Research Center conducts the General Social Survey (GSS) on a representative sample of about 1,500 respondents. The GSS, from which many of the examples in this book are selected, is designed to provide social science researchers with a readily accessible database of socially relevant attitudes, behaviors, and attributes of a cross-section of the U.S. adult population. For example, in analyzing the responses to the 2014 GSS, researchers found that the average respondent’s education was about 13.77 years. This average probably differs from the average of the population from which the GSS sample was drawn. However, we can establish that in most cases the sample mean (in this case, 13.77 years) is fairly close to the actual true average in the population. Example 3: In 2016, North Carolina legislators passed House Bill 2, prohibiting transgender people from using bathrooms and locker rooms that do not match the gender on their birth certificate. The law quickly drew protests from civil rights and https://jigsaw.vitalsource.com/books/9781506347219/epub/OEBPS/s9781506347189.i1831.xhtml https://jigsaw.vitalsource.com/books/9781506347219/epub/OEBPS/s9781506347189.i3911.xhtml#s9781506347189.i4044 LGBT (lesbian, gay, bisexual, transgender) rights groups. A CNN/ORC poll of 1,001 Americans revealed that 39% of those surveyed strongly oppose laws that require transgender individuals to use restroom facilities that correspond on their gender at birth rather than their gender identity. Seventy-five percent favor laws guaranteeing equal protection for transgender people in jobs, housing, and public accomodations.2 The percentage of Americans who identify as environ ...

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Complete the Frankfort-Nachmias and Leon-Guerrero (2018) SPSS® problems and chapter exercises listed below. Ch. 6: Chapter Exercises 2, 4, 6, 8, and 12 Ch. 7: SPSS® Problem 2 Ch. 7: Chapter Exercises 2, 4, 6, 8, and 12 Include your answers in a Microsoft® Word document. Click the Assignment Files tab to upload your assignment. Please see Chapter 6 material. Sampling and Sampling Distributions Chapter Learning Objectives Describe the aims of sampling and basic principles of probability Explain the relationship between a sample and a population Identify and apply different sampling designs Apply the concept of the sampling distribution Describe the central limit theorem Until now, we have ignored the question of who or what should be observed when we collect data or whether the conclusions based on our observations can be generalized to a larger group of observations. In truth, we are rarely able to study or observe everyone or everything we are interested in. Although we have learned about various methods to analyze observations, remember that these observations represent a fraction of all the possible observations we might have chosen. Consider the following research examples. Example 1: The Muslim Student Association on your campus is interested in conducting a study of experiences with campus diversity. The association has enough funds to survey 300 students from the more than 20,000 enrolled students at your school. Example 2: Environmental activists would like to assess recycling practices in 2-year and 4-year colleges and universities. There are more than 4,700 colleges and universities nationwide. 1 Example 3: The Academic Advising Office is trying to determine how to better address the needs of more than 15,000 commuter students, but determines that it has only enough time and money to survey 500 students. The primary problem in each situation is that there is too much information and not enough resources to collect and analyze it. Aims of Sampling 2 Researchers in the social sciences rarely have enough time or money to collect information about the entire group that interests them. Known as the population , this group includes all the cases (individuals, groups, or objects) in which the researcher is interested. For example, in our first illustration, there are more than 20,000 students; the population in the second illustration consists of 4,700 colleges and universities; and in the third illustration, the population is 15,000 commuter students. Population A group that includes all the cases (individuals, objects, or groups) in which the researcher is interested. Fortunately, we can learn a lot about a population if we carefully select a subset of it. This subset is called a sample . Through the process of sampling —selecting a subset of observations from the population—we attempt to generalize the characteristics of the larger group (population) based on what we learn from the smaller group (t ...

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Running Head: INTRODUCTION SECTION AND HYPOTHESIS INTRODUCTION SECTION AND HYPOTHESIS 3 Introduction Section and Hypothesis Irving Toruno Florida International University Social media holds out the promise of connection. Looking at platforms such as Twitter, Facebook, and Instagram among others, people of different ages, gender and race create networks of friends which helps to get updates on daily activities and build a sense of community. On such a platform as Facebook, it’s usual that a person will have hundreds of friends connected to. However, this is different from real life where a person has very few friends who can be relied on. Many people including Pope Francis and singer Selena Gomez have always warned people on spending too much time on social media by refereeing to it as detrimental (Hunter 2019). Pope Francis argues that it’s not healthy to rely on the internet to know what’s happening in the world but instead people should walk door to door and talk to each other. On the contrary, young people have argued that social media provides a real connection. Research showed that social media was helpful to kids as they can connect, share and learn online. Sites such as twitter shed light on kids on the important issues across the world as well as exposing them to people from different parts. This enlightens their thoughts as they respond positively to such tweets. Social media helps teens strengthen friendship, get a sense of belonging and have online acceptance (Kampf 2018). The purpose of this research is to investigate if social media made people more or less connected having in mind all the arguments on the positive and negative impacts of social media. Understanding whether social media made people more or less connected is a concept that requires thorough research as the pros and cons outweigh each other. Considering the advantages of social media, we find that people can find and meet online; business people can reach clients directly without the involvement of third-party, advertising, and search engine optimization on companies is made easier. On the disadvantages, social media leads to cheating and relationship issues, deaths as people to copy what they see on the internet, drugs and alcohol abuse among other things. To clearly understand the effect of social media on people’s connectivity, more research needs to be done on the users of the internet. This research project is purposely made for teens and young adults who are mostly involved in social media. Despite social media being a platform for everyone even the children, young adults and teens are the victims of social media. According to statistics, 93% of online users are young adults aged 18-29 who compete equally with teens aged 12-17 as compared to 39% adults aged 30 and above (Staksrud 2016). Through the internet, these people connect with friends on different platforms who help each other in different ways. Some of the internet users are students who connec ...

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DESCRIPTIVE ANALYSIS 1 DESCRIPTIVE ANALYSIS 8 Examining Measurements of Central Tendencies Examining Measurements of Central Tendencies This discussion board is based on the measurement of central tendencies whereas the nominal, ordinal, interval and ratio allow researcher to analyze data. Each of these measurements provide researchers with the ability to measure sets of data that do not represent numerical values. Salkind (2017) defined a level measurement with an outcome that fit into one and only class or category as nominal. The level of measurement assigns value to a specific item than assign a value to the item based on the appeal to an individual. The nominal measurement that I chose was labor force status. The descriptive characteristics that were chosen for the completion of the data set were represented some form of employment. Salkind (2017) explained the ordinal measurement as the characteristic of the assigning order or ranking data. The ordinal measurement that I chose was a ranking of how individuals view their political affiliations. The characteristics were assigned a value which for the mean, median and mode to be determined. The sum of a data set divide by the number data points represents the mean (Salkind, 2017). The mean for a data set may be skewed based on extreme number contained in the set of number. By focusing on the median, Salkind (2017) defined as a true midpoint of the data set that does not take in consideration extreme number. The median produces a more conclusive number that is related to the true data without influences. When analyzing data, situations may occur where the data is repetitive. This repetition of the number in a data is known as the mode (Salkind, 2017). A data set may have multiple modes and may have greater determining factor mean and how the data is interpreted. Nominal Data The nominal data set for ‘Labor for status’ comprised of 10 descriptive terms that represents some phase of employment. The data were assigned numbers 0 to 9 based on the stage of employed (e.g. “working fulltime” =1). The data set consisted of 575 respondents of which only one data was missing. The data shows that nearly 60% of respondents reported that were “working fulltime”. The corresponding value associated with “working fulltime” was 1. The data show that most respondents are employed in some fashion calculating a mean of 2.57, median of 1 and a mode of 1. The median of 1 seems to be an anomaly in the data based on the data set range of nine. The standard deviation of 2.246 and variance of 5.044. Based on the information analyzed, 68% of the respondents are represented between .33 and 4.81. The variance shows the consistency of the data based on the distance from .33 to 4.81. Statistics Labor force status N Valid 574 Missing 1 Mean 2.57 Std. Error of Mean .094 Median 1.00 Mode 1 Std. Deviation 2.246 Variance 5.044 Skewness 1.088 Std. Error of Skewness .102 Kurtosis -.392 Std..

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