SlideShare une entreprise Scribd logo
1  sur  4
Télécharger pour lire hors ligne
QNT 351 Final Exam
ANSWERS ARE HERE 
1) The main purpose of descriptive statistics is to
A. summarize data in a useful and informative manner
B. make inferences about a population
C. determine if the data adequately represents the population
D. gather or collect data
2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data
is called
A. statistics
B. descriptive statistics
C. inferential statistics
D. levels of measurement
3) The performance of personal and business investments is measured as a percentage, return
on investment. What type of variable is return on investment?
A. Qualitative
B. Continuous
C. Attribute
D. Discrete
4) What type of variable is the number of robberies reported in your city?
A. Attribute
B. Continuous
C. Discrete
D. Qualitative
5) What level of measurement is the number of auto accidents reported in a given month?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
6) The names of the positions in a corporation, such as chief operating officer or controller, are
examples of what level of measurement?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what level of measurement?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
8) Monthly commissions of first-year insurance brokers are $1,270, $1,310, $1,680, $1,380,
$1,410, $1,570, $1,180, and $1,420. These figures are referred to as
A. a histogram
B. raw data
C. frequency distribution
D. frequency polygon
9) A small sample of computer operators shows monthly incomes of $1,950, $1,775, $2,060,
$1,840, $1,795, $1,890, $1,925, and $1,810. What are these ungrouped numbers called?
A. Histogram
B. Class limits
C. Class frequencies
D. Raw data
10) The sum of the deviations of each data value from this measure of central location will
always be 0
A. Mode
B. Mean
C. Median
D. Standard deviation
11) For any data set, which measures of central location have only one value?
A. Mode and median
B. Mode and mean
C. Mode and standard deviation
D. Mean and median
12) A sample of single persons receiving social security payments revealed these monthly
benefits: $826, $699, $1,087, $880, $839, and $965. How many observations are below the
median?
A. 0
B. 1
C. 2
D. 3
13) A dot plot shows
A. the general shape of a distribution
B. the mean, median, and mode
C. the relationship between two variables
D. the interquartile range
14) The test scores for a class of 147 students are computed. What is the location of the test
score associated with the third quartile?
A. 111
B. 37
C. 74
D. 75%
15) TheNationalCenterfor Health Statistics reported that of every 883 deaths in recent years, 24
resulted from an automobile accident, 182 from cancer, and 333 from heart disease. Using the
relative frequency approach, what is the probability that a particular death is due to an
automobile accident?
A. 24/883 or 0.027
B. 539/883 or 0.610
C. 24/333 or 0.072
D. 182/883 or 0.206
16) If two events A and B are mutually exclusive, what does the special rule of addition state?
A. P(A or B) = P(A) + P(B)
B. P(A and B) = P(A) + P(B)
C. P(A and/or B) = P(A) + P(B)
D. P(A or B) = P(A) - P(B)
17) A listing of all possible outcomes of an experiment and their corresponding probability of
occurrence is called a
A. random variable
B. probability distribution
C. subjective probability
D. frequency distribution
18) The shape of any uniform probability distribution is
A. negatively skewed
B. positively skewed
C. rectangular
D. bell shaped
19) The mean of any uniform probability distribution is
A. (b - a)/2
B. (a + b)/2
C. Σ x/ η
D. nπ
20) For the normal distribution, the mean plus and minus 1.96 standard deviations will include
about what percent of the observations?
A. 50%
B. 99.7%
C. 95%
D. 68%
21) For a standard normal distribution, what is the probability that z is greater than 1.75?
A. 0.0401
B. 0.0459
C. 0.4599
D. 0.9599
22) A null hypothesis makes a claim about a
A) Population parameter
B. sample statistic
C. sample mean
D. Type II error
23) What is the level of significance?
A. Probability of a Type II error
B. Probability of a Type I error
C. z-value of 1.96
D. Beta error
24) Suppose we test the difference between two proportions at the 0.05 level of significance. If
the computed z is -1.07, what is our decision?
A. Reject the null hypothesis
B. Do not reject the null hypothesis
C. Take a larger sample
D. Reserve judgment
25) Which of the following conditions must be met to conduct a test for the difference in two
sample means?
A. Data must be at least of interval scale
B. Populations must be normal
C. Variances in the two populations must be equal
D. Data must be at least of interval scale and populations must be normal
26) Which of the following statements about the two sample sizes is NOT true? Assume the
population standard deviations are equal.
A. Sample A = 11; sample B = 13
B. Sample A = 12; sample B = 14
C. Sample A = 13; sample B = 13
D. Sample A = 10; sample B = 16
27) What is the chart called when the paired data (the dependent and independent variables)
are plotted?
A. Scatter diagram
B. Bar chart
C. Pie chart
D. Histogram
28) What is the variable used to predict the value of another called?
A. Independent variable
B. Dependent variable
C. Correlation variable
D. Variable of determination
29) Twenty randomly selected statistics students were given 15 multiple-choice questions and
15 open-ended questions, all on the same material. The professor was interested in determining
on which type of questions the students scored higher. This experiment is an example of
A. a one sample test of means
B. a two sample test of means
C. a paired t-test
D. a test of proportions
30) The measurements of weight of 100 units of a product manufactured by two parallel
processes have same mean but the standard of process A is 15 while that of B is 7. What can
you conclude?
A. The weight of units in process A are grouped closer than in process B
B. The weight of units in process B are grouped closer than in process A
C. Both processes are out of control
D. More data is needed to draw a conclusion

Contenu connexe

En vedette (7)

Phase structure
Phase structurePhase structure
Phase structure
 
Bringing Underserved Staff Online @ LMU
Bringing Underserved Staff Online @ LMUBringing Underserved Staff Online @ LMU
Bringing Underserved Staff Online @ LMU
 
git fast & minimal
git fast & minimalgit fast & minimal
git fast & minimal
 
Multimedia Learning PPT
Multimedia Learning PPTMultimedia Learning PPT
Multimedia Learning PPT
 
Leadership in global & multi cultural orgtns - power points
Leadership in global & multi cultural orgtns - power pointsLeadership in global & multi cultural orgtns - power points
Leadership in global & multi cultural orgtns - power points
 
Reach for the stars
Reach for the starsReach for the stars
Reach for the stars
 
Going Green in the Library: It's not just for contractors
Going Green in the Library: It's not just for contractorsGoing Green in the Library: It's not just for contractors
Going Green in the Library: It's not just for contractors
 

Plus de RieTian99

QNT 561 QNT/561 Final Exam 100% Correct
QNT 561 QNT/561 Final Exam 100% CorrectQNT 561 QNT/561 Final Exam 100% Correct
QNT 561 QNT/561 Final Exam 100% CorrectRieTian99
 
OPS 571 OPS/571 Final Exam 100% Correct
OPS 571 OPS/571 Final Exam 100% CorrectOPS 571 OPS/571 Final Exam 100% Correct
OPS 571 OPS/571 Final Exam 100% CorrectRieTian99
 
MKT 571 MKT/571 Final Exam 100% Correct
MKT 571 MKT/571 Final Exam 100% CorrectMKT 571 MKT/571 Final Exam 100% Correct
MKT 571 MKT/571 Final Exam 100% CorrectRieTian99
 
MGT 521 MGT/521 Final Exam 100% Correct
MGT 521 MGT/521 Final Exam 100% CorrectMGT 521 MGT/521 Final Exam 100% Correct
MGT 521 MGT/521 Final Exam 100% CorrectRieTian99
 
MGT 498 MGT/498 Final Exam 100% Correct
MGT 498 MGT/498 Final Exam 100% CorrectMGT 498 MGT/498 Final Exam 100% Correct
MGT 498 MGT/498 Final Exam 100% CorrectRieTian99
 
FIN 370 FIN/370 Final Exam 100% Correct
FIN 370 FIN/370 Final Exam 100% CorrectFIN 370 FIN/370 Final Exam 100% Correct
FIN 370 FIN/370 Final Exam 100% CorrectRieTian99
 
ACC 561 ACC/561 Final Exam 100% Correct
ACC 561 ACC/561 Final Exam 100% CorrectACC 561 ACC/561 Final Exam 100% Correct
ACC 561 ACC/561 Final Exam 100% CorrectRieTian99
 
ACC 460 ACC/460 Final Exam 100% Correct
ACC 460 ACC/460 Final Exam 100% CorrectACC 460 ACC/460 Final Exam 100% Correct
ACC 460 ACC/460 Final Exam 100% CorrectRieTian99
 
ACC 423 ACC/423 Final Exam 100% Correct
ACC 423 ACC/423 Final Exam 100% CorrectACC 423 ACC/423 Final Exam 100% Correct
ACC 423 ACC/423 Final Exam 100% CorrectRieTian99
 
ACC 422 ACC/422 Final Exam 100% Correct
ACC 422 ACC/422 Final Exam 100% CorrectACC 422 ACC/422 Final Exam 100% Correct
ACC 422 ACC/422 Final Exam 100% CorrectRieTian99
 

Plus de RieTian99 (10)

QNT 561 QNT/561 Final Exam 100% Correct
QNT 561 QNT/561 Final Exam 100% CorrectQNT 561 QNT/561 Final Exam 100% Correct
QNT 561 QNT/561 Final Exam 100% Correct
 
OPS 571 OPS/571 Final Exam 100% Correct
OPS 571 OPS/571 Final Exam 100% CorrectOPS 571 OPS/571 Final Exam 100% Correct
OPS 571 OPS/571 Final Exam 100% Correct
 
MKT 571 MKT/571 Final Exam 100% Correct
MKT 571 MKT/571 Final Exam 100% CorrectMKT 571 MKT/571 Final Exam 100% Correct
MKT 571 MKT/571 Final Exam 100% Correct
 
MGT 521 MGT/521 Final Exam 100% Correct
MGT 521 MGT/521 Final Exam 100% CorrectMGT 521 MGT/521 Final Exam 100% Correct
MGT 521 MGT/521 Final Exam 100% Correct
 
MGT 498 MGT/498 Final Exam 100% Correct
MGT 498 MGT/498 Final Exam 100% CorrectMGT 498 MGT/498 Final Exam 100% Correct
MGT 498 MGT/498 Final Exam 100% Correct
 
FIN 370 FIN/370 Final Exam 100% Correct
FIN 370 FIN/370 Final Exam 100% CorrectFIN 370 FIN/370 Final Exam 100% Correct
FIN 370 FIN/370 Final Exam 100% Correct
 
ACC 561 ACC/561 Final Exam 100% Correct
ACC 561 ACC/561 Final Exam 100% CorrectACC 561 ACC/561 Final Exam 100% Correct
ACC 561 ACC/561 Final Exam 100% Correct
 
ACC 460 ACC/460 Final Exam 100% Correct
ACC 460 ACC/460 Final Exam 100% CorrectACC 460 ACC/460 Final Exam 100% Correct
ACC 460 ACC/460 Final Exam 100% Correct
 
ACC 423 ACC/423 Final Exam 100% Correct
ACC 423 ACC/423 Final Exam 100% CorrectACC 423 ACC/423 Final Exam 100% Correct
ACC 423 ACC/423 Final Exam 100% Correct
 
ACC 422 ACC/422 Final Exam 100% Correct
ACC 422 ACC/422 Final Exam 100% CorrectACC 422 ACC/422 Final Exam 100% Correct
ACC 422 ACC/422 Final Exam 100% Correct
 

Dernier

ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 

Dernier (20)

ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
20230104 - machine vision
20230104 - machine vision20230104 - machine vision
20230104 - machine vision
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 

QNT 351 QNT/351 Final Exam 100% Correct

  • 1. QNT 351 Final Exam ANSWERS ARE HERE  1) The main purpose of descriptive statistics is to A. summarize data in a useful and informative manner B. make inferences about a population C. determine if the data adequately represents the population D. gather or collect data 2) The general process of gathering, organizing, summarizing, analyzing, and interpreting data is called A. statistics B. descriptive statistics C. inferential statistics D. levels of measurement 3) The performance of personal and business investments is measured as a percentage, return on investment. What type of variable is return on investment? A. Qualitative B. Continuous C. Attribute D. Discrete 4) What type of variable is the number of robberies reported in your city? A. Attribute B. Continuous C. Discrete D. Qualitative 5) What level of measurement is the number of auto accidents reported in a given month? A. Nominal B. Ordinal C. Interval D. Ratio 6) The names of the positions in a corporation, such as chief operating officer or controller, are examples of what level of measurement? A. Nominal B. Ordinal C. Interval D. Ratio 7) Shoe sizes, such as 7B, 10D, and 12EEE, are examples of what level of measurement? A. Nominal B. Ordinal C. Interval D. Ratio 8) Monthly commissions of first-year insurance brokers are $1,270, $1,310, $1,680, $1,380, $1,410, $1,570, $1,180, and $1,420. These figures are referred to as
  • 2. A. a histogram B. raw data C. frequency distribution D. frequency polygon 9) A small sample of computer operators shows monthly incomes of $1,950, $1,775, $2,060, $1,840, $1,795, $1,890, $1,925, and $1,810. What are these ungrouped numbers called? A. Histogram B. Class limits C. Class frequencies D. Raw data 10) The sum of the deviations of each data value from this measure of central location will always be 0 A. Mode B. Mean C. Median D. Standard deviation 11) For any data set, which measures of central location have only one value? A. Mode and median B. Mode and mean C. Mode and standard deviation D. Mean and median 12) A sample of single persons receiving social security payments revealed these monthly benefits: $826, $699, $1,087, $880, $839, and $965. How many observations are below the median? A. 0 B. 1 C. 2 D. 3 13) A dot plot shows A. the general shape of a distribution B. the mean, median, and mode C. the relationship between two variables D. the interquartile range 14) The test scores for a class of 147 students are computed. What is the location of the test score associated with the third quartile? A. 111 B. 37 C. 74 D. 75% 15) TheNationalCenterfor Health Statistics reported that of every 883 deaths in recent years, 24 resulted from an automobile accident, 182 from cancer, and 333 from heart disease. Using the relative frequency approach, what is the probability that a particular death is due to an automobile accident? A. 24/883 or 0.027 B. 539/883 or 0.610 C. 24/333 or 0.072 D. 182/883 or 0.206 16) If two events A and B are mutually exclusive, what does the special rule of addition state? A. P(A or B) = P(A) + P(B)
  • 3. B. P(A and B) = P(A) + P(B) C. P(A and/or B) = P(A) + P(B) D. P(A or B) = P(A) - P(B) 17) A listing of all possible outcomes of an experiment and their corresponding probability of occurrence is called a A. random variable B. probability distribution C. subjective probability D. frequency distribution 18) The shape of any uniform probability distribution is A. negatively skewed B. positively skewed C. rectangular D. bell shaped 19) The mean of any uniform probability distribution is A. (b - a)/2 B. (a + b)/2 C. Σ x/ η D. nπ 20) For the normal distribution, the mean plus and minus 1.96 standard deviations will include about what percent of the observations? A. 50% B. 99.7% C. 95% D. 68% 21) For a standard normal distribution, what is the probability that z is greater than 1.75? A. 0.0401 B. 0.0459 C. 0.4599 D. 0.9599 22) A null hypothesis makes a claim about a A) Population parameter B. sample statistic C. sample mean D. Type II error 23) What is the level of significance? A. Probability of a Type II error B. Probability of a Type I error C. z-value of 1.96 D. Beta error 24) Suppose we test the difference between two proportions at the 0.05 level of significance. If the computed z is -1.07, what is our decision? A. Reject the null hypothesis B. Do not reject the null hypothesis C. Take a larger sample D. Reserve judgment 25) Which of the following conditions must be met to conduct a test for the difference in two sample means?
  • 4. A. Data must be at least of interval scale B. Populations must be normal C. Variances in the two populations must be equal D. Data must be at least of interval scale and populations must be normal 26) Which of the following statements about the two sample sizes is NOT true? Assume the population standard deviations are equal. A. Sample A = 11; sample B = 13 B. Sample A = 12; sample B = 14 C. Sample A = 13; sample B = 13 D. Sample A = 10; sample B = 16 27) What is the chart called when the paired data (the dependent and independent variables) are plotted? A. Scatter diagram B. Bar chart C. Pie chart D. Histogram 28) What is the variable used to predict the value of another called? A. Independent variable B. Dependent variable C. Correlation variable D. Variable of determination 29) Twenty randomly selected statistics students were given 15 multiple-choice questions and 15 open-ended questions, all on the same material. The professor was interested in determining on which type of questions the students scored higher. This experiment is an example of A. a one sample test of means B. a two sample test of means C. a paired t-test D. a test of proportions 30) The measurements of weight of 100 units of a product manufactured by two parallel processes have same mean but the standard of process A is 15 while that of B is 7. What can you conclude? A. The weight of units in process A are grouped closer than in process B B. The weight of units in process B are grouped closer than in process A C. Both processes are out of control D. More data is needed to draw a conclusion