What are the key differences between descriptive and inferential statistics?
RES710 Statistical Research Methods And Design I
Week 1 Discussion
DQ1 Statistics
Write a 250- to 300-word response to the following:
What are the key differences between descriptive and inferential statistics? Offer an example of each and explain when you might use each (descriptive and inferential statistics) in your research study.
DQ2 Research
Write a 250- to 300-word response to the following:
State whether the data you have chosen to work with originated in the GSS site or in the University Library. If a dataset was chosen from the library data, you must state the specific location and dataset you extracted.
Choose and list at least three variables (Hint: choose two independent and one dependent), along with the associated survey question and response choices.
Create a research question using all three of your variables.
Create a null and alternative hypothesis that supports your research question.
RES710 Statistical Research Methods And Design I
Week 2 Discussion
DQ1 Types of Variables and Data
Understanding and applying levels of measurement is an important part of your research.
Using the variables you chose in Week 1, write a 250- to 300-word response to the following:
List the levels of measurement for each of your chosen variables and explain why understanding levels of measurement is important in quantitative research.
DQ2 Understanding What Impact Variable Types Have on Statistical Tests
An important component to quantitative research is choosing the correct statistical test. The University Library offers several Sage Research Methods resources to help you in your endeavors.
Using the “Sage Tools – Which Stats Test?” link from the University Library and your chosen variables, complete the “Which Stats Test?” survey to decide which statistical tests could be most beneficial to understanding the relationship between your variables.
Next, review Figure 9.1. A Quick (but Not Always Great) Approach to Determining What Statistical Test to Use, on p. 201 of Statistics for People Who (Think They) Hate Statistics.
Write a 250- to 300-word response to the following:
Discuss the process of choosing a statistical test using the tools from Sage and your Salkind & Frey (2019) text.
Explain what impact variable types have on statistical tests.
RES710 Statistical Research Methods And Design I
Week 3 Discussion
DQ1 Skewed Distribution
Write a 250- to 300-word response to the following:
What is the difference between a normal distribution and a skewed distribution?
What causes a skew and how might a researcher deal with skewed data?
Under what conditions would it be acceptable to allow skewed variables in a research study?
DQ2 Measures of Central Tendency
Write a 250- to 300-word response to the following:
How will you use measures of central tendency in your dissertation research or professional practice? Cite specific examples of how you expect to apply this week’s topics.
RES710 Statistical Research Methods And Design I
Week 4 Discussion
DQ1 Measures of Variability
Write a 250- to 300-word response to the following:
How do you choose which measure of variability to use and what considerations may have an impact on your decision?
DQ2 Measures of Variation
Measures of variation provide us with information about how a set of scores are distributed. Refer to the data you collected in Week 1 or other dataset practice, running measures of variability for each of your variables.
Write a 250- to 300-word response to the following:
What specific considerations did you use to determine which test to run?
Why are measures of variability important when interpreting your data.
RES710 Statistical Research Methods And Design I
Week 5 Discussion
DQ1 Normal Distribution
In statistics, it is critical to know what is meant by a normal distribution.
Write a 250- to 300-word response to the following:
What are the properties of a normal distribution?
Is a normal distribution always necessary? Why or why not?
Why do researchers often refer to a normal distribution as a theoretical normal distribution?
DQ2 Sampling
In Ch. 6, Frankfort-Nachmias and Leon-Guerrero (2018) explore various aspects related to sampling. Explore the aims of sampling and types of probability sampling. Then refer to your own mock study topic and variables identified in Week 1.
Write a 250- to 300-word response to the following:
What types of sampling do you think would be most appropriate for your study? Why?
How does sample size affect the validity of a study?
RES710 Statistical Research Methods And Design I
Week 6 Discussion
DQ1 Confidence Intervals
When implementing a research study, it is important to know the relationship between confidence intervals, sample sizes, and estimated standard errors.
Write a 250- to 300-word response to the following:
Explain the relationship between confidence intervals, sample sizes, and estimated standard errors.
How might understanding these elements be useful in understanding your mock data used throughout this course?
DQ2 Hypothesis Testing
Refer to the research question and hypotheses you created in Week 1.
Write a 250- to 300-word response to the following:
Discuss each of the 5 steps in hypothesis testing as it relates to your data.
Note: You will only need to explain steps 4 and 5 in general, but steps 1-3 should be fairly specific to your data.
RES710 Statistical Research Methods And Design I
Week 7 Discussion
DQ1 Understanding the Application of Measures of Association and Significance Tests
Last week you completed the hypothesis test application, where you reviewed each of the common statistical tests in detail. Refer to the information from that assignment and the data you have been working with throughout this course.
Write a 250- to 300-word response to the following:
Which statistical test would be most appropriate for your variables? Why?
DQ2 Finding Scholarly Support
Providing scholarly support for your research project is a necessary part of the process. Find two scholarly sources that offer additional insight into your course project/mock study research topic (as defined by the research question and/or hypothesis you’ve been working with throughout this course).
Write a 250- to 300-word response to the following:
Briefly summarize each article and explain why each is relevant to your project.
RES710 Statistical Research Methods And Design I
Week 8 Discussion
DQ1 Assumptions
Frankfort-Nachmias and Leon-Guerrero (2018) explain that “several assumptions are required” in statistical hypothesis testing.
Write a 250- to 300-word response to the following:
Explain what this statement means in your own words.
What assumptions might be present in your dissertation study work?
DQ2 Course Reflection
Throughout this course, you have completed the research process. Take a moment to reflect on your learning.
Write a 250- to 300-word response to the following:
How will you apply what you’ve learned in this course to your personal, professional, or future research work?
RES710 Statistical Research Methods And Design I
Week 1 Assignment
Summative Assessment: Course Project – Variables and Levels of Measurement
This week you will begin a series of worksheets needed to complete a course project/mock study, which is due in Week 8. In this first worksheet, you will incorporate knowledge gained through this week’s discussion with your instructor and peers to set the foundational elements for your course project/mock study.
Using this week’s Discussion 2 as a guide, complete the Course Project Worksheet – Variables and Levels of Measurement.
Refer to How to Extract GSS Data from Excel or How to Extract Data to Excel Using the Library for help with this assignment.
Ensure your assignment addresses the criteria in the grading rubric.
Submit your assignment.
Resources
Course Project Worksheet– Variables and Levels of Measurement
Complete the following tables.
General Research Information
Student Name: [Enter text here.]
Topic:[Enter text here.]
Revised Research Question: (Use the discussion posts and feedback from your instructor, classmates, or other considerations.)
[Enter text here.]
Hypothesis: (Use the discussion posts and feedback from your instructor, classmates, or other considerations.)
[Enter text here.]
Null Hypothesis: (Use the discussion posts and feedback from your instructor, classmates, or other considerations.)
[Enter text here.]
Independent Variables
Independent Variables (IVs) Justification for IV
Level of Measurement
Justification for Level of Measurement
[List Independent Variable 1] [Enter your response here. Why do you think this variable acts as an independent variable in your study? Be sure to use your text to support your points.]
[Enter your response here. Is the level of measurement nominal, ordinal, interval, or ratio?]
[Enter your response here. Why is the level of measurement correct? Be sure to use your text to support your points.]
[List Independent Variable 2] [Enter your response here. Why do you think this variable acts as an independent variable in your study? Be sure to use your text to support your points.]
[Enter your response here. Is the level of measurement nominal, ordinal, interval, or ratio?]
[Enter your response here. Why is the level of measurement correct? Be sure to use your text to support your points.]
Dependent Variable
Dependent Variable (DV) Justification for DV
Level of Measurement
Justification for Level of Measurement
[List Dependent Variable] [Enter your response here. Why do you think this variable acts as a dependent variable in your study? Be sure to use your text to support your points.] [Enter your response here. Is the level of measurement nominal, ordinal, interval, or ratio?] [Enter your response here. Why is the level of measurement correct? Be sure to use your text to support your points.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 2 Assignment
Course Project Worksheet – Frequency Tables and Histograms
Complete Parts 1 and 2 below.
Part 1: Frequency Tables
Using your dataset chosen in Week 1, use Excel to complete frequency data runs for each of your variables. Then, describe each frequency table directly referencing the data in the table.
Paste your frequency tables in the appropriate sections below. Be sure to followproper APA guidelines for each table and describe the results. Each frequency table should be described in about a paragraph and should directly reference the table.
Frequency Table for Independent Variable 1
Independent Variable 1 Name:[Enter independent variable 1 here.]
Frequency Table:
[Paste your frequency table here.]
Summary and Description:
[Enter your summary and description here.]
Frequency Table for Independent Variable 2
Independent Variable 2 Name:[Enter independent variable 2 here.]
Frequency Table:
[Paste your frequency table here.]
Summary and Description:
[Enter your summary and description here.]
Frequency Table for Dependent Variable
Dependent Variable Name:[Enter dependent variable here.]
Frequency Table:
[Paste your frequency table here.]
Summary and Description:
[Enter your summary and description here.]
Part 2: Histograms and Graphs
Using the same data you selected in Week 1, develop a histogram and assess the distribution of each variable. Consider why the distribution of the data is important.
Paste your histograms in the appropriate sections below. Be sure to follow proper APA guidelines for each histogram and describe the results. Each histogram should be described in about a paragraph and should directly reference the histogram.
Histogram for Independent Variable 1
Independent Variable 1 Name: [Enter independent variable 1 here.]
Histogram:
[Paste your histogram here.]
Summary and Description:
[Enter your summary and description here.]
Histogram for Independent Variable 2
Independent Variable 2 Name:[Enter independent variable 2 here.]
Histogram:
[Paste your histogram here.]
Summary and Description:
[Enter your summary and description here.]
Histogram for Dependent Variable
Dependent Variable Name: [Enter dependent variable here.]
Histogram:
[Paste your histogram here.]
Summary and Description:
[Enter your summary and description here.]
References
[List references for Part 1 and 2 according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 3 Assignment
Course Project Worksheet – Mean, Median, and Mode
Complete Parts A and B below.
Part A
Using the three variables you chose in Week 1, complete the following for each of your variables:
1. Using Excel, calculate the mean, median, and mode for each variable.
2. Create APA formatted tables to represent the mean, median, and mode of each variable. Copy and paste each table below.
3. Explain/summarize the output for each variable.
Note: You might have to recode your variables prior to completing this assignment. See Calculating Mean, Median, and Mode in Excel for the step-by-step process.
Independent Variable 1
Independent Variable 1 Name: [Enter independent variable 1 here.]
Descriptive Statistics Table:
[Paste your table here.]
Summary and Description:
[Enter your summary and description here.]
Independent Variable 2
Independent Variable 2 Name: [Enter independent variable 2 here.]
Descriptive Statistics Table:
[Paste your table here.]
Summary and Description:
[Enter your summary and description here.]
Dependent Variable
Dependent Variable Name: [Enter dependent variable here.]
Descriptive Statistics Table:
[Paste your table here.]
Summary and Description:
[Enter your summary and description here.]
Part B
Respond to the following questions.
1. What are some considerations for choosing a measure of central tendency?
[Enter your response here.]
2. What impact do variable types have on testing when considering central tendency?
[Enter your responses here.]
3. Which measure of central tendency was most appropriate for each of your variables? Why?
[Enter your response here.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 4 Assignment
Course Project Worksheet – Measures of Variability
Using Figure 4.7,How to Choose a Measure of Variation, on p. 164 of Social Statistics for a Diverse Society, determine the correct measure of variability based on the levels of measurement for your variables from Week 1 and complete the following worksheet.
Independent Variable 1
Justification: (State the measure of variation chosen and why.)
[Enter your response here.]
Level of Measurement: (List the level of measurement: nominal, ordinal, interval, or ratio.)
[Enter your response here.]
Measure of Variation Table:
[Paste the Measure of Variation Table here.]
Summary of Table Results: (Summarize the table results.)
[Enter your response here.]
Independent Variable 2
Justification: (State the measure of variation chosen and why.)
[Enter your response here.]
Level of Measurement: (List the level of measurement: nominal, ordinal, interval, or ratio.)
[Enter your response here.]
Measure of Variation Table:
[Paste the Measure of Variation Table here.]
Summary of Table Results: (Summarize the table results.)
[Enter your response here.]
Dependent Variable
Justification: (State the measure of variation chosen and why.)
[Enter your response here.]
Level of Measurement: (List the level of measurement: nominal, ordinal, interval, or ratio.)
[Enter your response here.]
Measure of Variation Table:
[Paste the Measure of Variation Table here.]
Summary of Table Results: (Summarize the table results.)
[Enter your response here.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 5 Assignment
Course Project Worksheet – Calculating Sample Sizes Using G* Power
Using the G* power website, download the free software and conduct a G* power analysis using the provided data.
There are 4 types of power analysis (a priori, post-hoc, criterion, and sensitivity). For the purposes of this class, we will focus on a priori power analysis since it is most commonly used when designing a research study (Hunt, n.d.).
Using the following parameters, complete a G* power analysis:
Alpha= .05
Power= .80
Expected Effect Size= In Week 2 Discussion 2, we practiced using the “Which Stats Test” Sage Tool.
Refer to the statistical test determined using that tool and select the large effect size for the appropriate test. (Note: if you aren’t sure which test to use, you can use the t-test family, correlation). You will not lose points for choosing the incorrect test. The point here is to determine a test, input the parameters into G*power, and explain the results.
Figure 1 – Effect Size Benchmarks
Statistic Small Medium Large
Means – Cohen’s d 0.2 0.5 0.8
ANOVA – f 0.1 0.25 0.4
ANOVA – eta squared 0.01 0.06 0.14
Regression f-test 0.02 0.15 0.35
Correlation – r or point serial 0.1 0.3 0.5
Correlation – r squared 0.01 0.06 0.14
Association – 2 x 2 table – OR 1.5 3.5 9
Association – Chi-square – w or Phi 0.1 0.3 0.5
Source: Hunt. (n.d.). A researcher’s guide to power analysis. Utah State University. Retrieved from https://research.usu.edu/irb/wp-content/uploads/sites/12/2015/08/A_Researchers_Guide_to_Power_Analysis_USU.pdf
G* Power Analysis
Variables: (Identify the variables used.)
[Enter your response here.]
Test Family and Statistical Test: (Identify the test family and statistical test used.)
[Enter your response here.]
G*Power Output:
[Copy and paste your G*Power output here.]
Output Parameters: (Explain each of the output parameters.)
[Enter your response here.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 6 Assignment
Course Project Worksheet –Choosing the Correct Statistical Test
An important component to hypothesis testing is choosing the appropriate test to compute the test statistic. In the second column, define and explain statistical test listed in the first column. Be sure to note when each test is used, why you would choose this test, and what the output tells us. Be sure to provide a rationale for each test choice, including variable types. Then in the third column, specify what level(s) of measurement each test is used with.
Statistical Test Definition/Explanation Levels of Measurement
Basic T-Test
Independent Sample T-Test
Paired T-Test
Analysis of Variance (ANOVA)Test
Chi-SquareTest
Regression Test
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 7 Assignment
Course Project Worksheet – Using Excel for Statistical Testing
Last week’s assignment required a review of various statistical tests. Earlier this week, in Discussion 1, you explored which test might be most appropriate given your chosen variables. Now is your time to practice running the statistical test and analyzing the data. Complete each of the items below:
1. Which statistical test (T-Test, ANOVA, Chi-Square, or Regression) did you choose for your variables?
[Enteryour response here.]
2. Explain why you chose this test.
[Enteryour response here.]
3. Next, using Excel (refer to the handouts from this week for step-by-step instructions), run the statistical test you chose above and paste the output below.
[Paste Excel output here.]
4. Analyze the results.
[Enteryour response here.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 8 Assignment
Final Course Project Worksheet and Reflection
Complete Parts A and B below.
Part A: Final Course Project Worksheet
Part Aof this worksheet provides you the opportunity to synthesize your work from the entire term into a comprehensive project. Complete each section below. You will use the information from each week throughout the class (revised in line with feedback from your instructor) to paste in the appropriate material and summary. The format of this part of the worksheet is similar to what you would find as the required structure in a peer-reviewed journal.
Project Title
[From Week 1]
Name
[Enter your name.]
Introduction
[Use this area to provide a brief introduction to your topic. Remember to use sources (Hint: Review and use the information from Week 7 Discussion 2).]
Methodology
Research Question
[from Week 1]
Null and Alternate Hypothesis
[from Weeks 1 and 2]
Independent Variables and Levels of Measurement
[from Week 1]
Dependent Variable and Levels of Measurement
[from Week 1]
Population and Sample
[Discuss the origin of your data by offering a brief background.
Also, (from Week 5) use G* Power to calculate sample size.]
Results
Descriptive Statistics
[from Week 2 and Week 3 frequency tables, histogram, mean, median, mode, etc. (Be sure to post the tables AND summarize each table and chart.)]
Measures of Variability
[from Week 4 – Remember to paste the output AND summarize the results.]
Measures of Association and Tests of Significance
[from Weeks 6 and 7 – Remember to paste the output AND summarize the results.]
Discussion
[Provide a 1- to 2-page overview of the results. Synthesize the findings and analyze the results as a whole.]
Conclusion
[Provide a brief conclusion discussing study implications and areas for future research.]
References
[List references according to APA guidelines.]
Part B: Reflection
Part Bof this worksheet provides you with the opportunity for critical thinking and scholarly reflection. Respondto the three prompts below. You should provide a rationale and discussion for each test. You should clearly make the connection between each week of the course and how the topics build together. Be sure that yourreflection is supported with references to course material.
• How does the type of data drive statistical tests used?
[Enter your response here.]
• Why is it important to understand the types of data, research question, hypotheses, etc. prior to determining which statistical test is most appropriate?
[Enter your response here.]
• Reflect on your experience in this class. What information did you find most useful? How will you apply this information moving forward in your academic or professional life?
[Enter your response here.]
References
[List references according to APA guidelines.]
RES710 Statistical Research Methods And Design I
Week 1 Quiz
Question 1What is the level of measurement for the variable: number of people in your statistics class?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
2. Question 2What is the level of measurement for the variable: percentage of students who are first-generation college students at your school?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
Question 3What is the level of measurement for the variable: name of each academic major offered in your college?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
Question 4What is the level of measurement for the variable: rating of the overall quality of a textbook, on a scale from excellent to poor?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
Question 5What is the level of measurement for the variable: type of transportation a person takes to school (e.g., bus, walk, car)?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
Question 6What is the level of measurement for the variable: number of hours you study for a statistics exam?
1. ordinal
2. nominal
3.interval-ratio
4.none of the above
Question 7What is the level of measurement for the variable: rating of the overall quality of your campus coffee shop, on a scale from excellent to poor?
1. ordinal
2. nominal
3. interval-ratio
4. none of the above
Question 8Is the interval-ratio for the number of people in your statistics class discrete or continuous?
1. discrete
2. continuous
Question 9Is the interval-ratio for percentage of students who are first-generation college students at your school discrete or continuous?
1. discrete
2. continuous
Question 10Is the interval-ratio for number of hours you study for a statistics exam discrete or continuous?
1. discrete
2. continuous
RES710 Statistical Research Methods And Design I
Week 2 Quiz
1. Question 1
What visual presentation goes with nominal data?
1. Pie chart or bar graph
2. Histogram or line chart
3. Both a and b are correct
4. None of the above
Question 2What visual presentation goes with an interval-ratio?
1. Pie chart or bar graph
2. Histogram or line chart
3. Both a and b are correct
4. None of the above
Question 3What visual presentation goes with an ordinal data?
1. Pie chart or bar graph
2. Histogram or line chart
3. Both a and b are correct
4. None of the above
RES710 Statistical Research Methods And Design I
Week 5 Quiz
Question 1If the city’s shelters have a capacity of 350, will that be enough places for abused women on 95% of all nights?
1. Yes
2. No
Question 2What number of shelter openings will be needed?
1. 250
2. 370
3. 75
4. 374
Question 3The current capacity is only 220 openings because some of the shelters have been closed. What is the percentage of nights that the number of abused women seeking shelter will exceed current capacity?
1. 62.21%
2. 65.54%
3. 34.46%
4. 40%
A criminologist developed a test to measure recidivism, where low scores indicated a lower probability of repeating the undesirable behavior. The test is normed so that it has a mean of 140 and a standard deviation of 40.
Question 4What is the percentile rank of a score of 172?
1. 78.81st percentile
2. 80th percentile
3. 40th percentile
4. 28.81 percentile
Question 5What is the z-score for a test score of 200?
1. -1.50
2. 0.5
3. 1
4. 1.50
Question 6What percentage of scores falls between 100 and 160?
1. 28.81%
2. 53.28%
3. 19.15%
4. 34.13%
Question 7What proportion of respondents should score above 190?
1. 2.753
2. .0125
3. 1.250
4. .1056
Question 8Suppose an individual is in the 67th percentile in this test. What is their corresponding recidivism score?
1. 155.9
2. 140
3. 157.6
4. 112.9
10. According to National Collegiate Athletic Association (NCAA) data, the means and standard deviations of eligibility and retention rates (based on a 1,000-point scale) for the 2013–2014 academic year are presented, along with the fictional scores for two basketball teams, A and B. Assume that rates are normally distributed.
Question 9On which criterion (eligibility or retention) did Team A do better than Team B? Calculate appropriate statistics to answer this question.
1. Team A has better retention and eligibility than Team B.
2. Team B has better retention and eligibility than Team A.
3. Team B has better retention, but Team A has better eligibility.
4. Team A has better retention, but Team B has better eligibility.
Question 10What proportion of the teams have retention rates below Team B?
1. 43.25
2. 4.325
3. 0.4325
4. 0.04325
Question 11What is the percentile rank of Team A’s eligibility rate?
1. 43.25th percentile
2. 36.54th percentile
3. 35.94th percentile
4. 17th percentile
RES710 Statistical Research Methods And Design I
Week 6 Quiz
Question 1What is the 95% confidence interval for the mean number of years of education for lower-class respondents?
1. 11.60 to 12.62
2. 23.20 to 25.24
3. 5.80 to 6.31
4. 13.60 to 14.62
Question 2What is the 95% confidence interval for the mean number of years of education for working-class respondents?
1. 14.76 to 15.25
2. 12.76 to 13.25
3. 25.50 to 26.50
4. 6.38 to 6.63
Question 3What is the 99% confidence interval for the mean number of years of education for lower-class respondents?
1. 11.44 to 12.78
2. 5.72 to 6.39
3. 13.55 to 14.89
4. 22.88 to 25.56
Question 4What is the 99% confidence interval for the mean number of years of education for middle-class respondents?
1. 18.65 to 19.33
2. 4.65 to 5.33
3. 7.33 to 7.67
4. 14.65 to 15.33
Question 5As our confidence in the result increases, how does the size of the confidence interval change?
1. The confidence interval gets wider, not narrower – increasing confidence leading to less precise intervals.
2. The confidence interval gets narrower, but not wider – decreasing confidence leading to more precise intervals.
3. As the result increases, the confidence level remains the same.
4. As the result increases, the confidence level is reduced.
6. Though 70% of women with children younger than 18 years participate in the labor force, society still upholds the stay-at-home mother as the traditional model. Some believe that employment distracts mothers from their parenting role, affecting the well-being of children. In the GSS 2014, respondents were asked to indicate their level of agreement to the statement, “A working mother hurts children.” Of the 435 male respondents who answered the question, 18% strongly agreed that a working mother does not hurt children.
Question 6What is the 90% confidence interval for this statistic for males?
1. 0.30 to 0.42
2. 0.08 to 0.11
3. 0.15 to 0.21
4. 1.50 to 2.10
Question 7Of the 566 female respondents who answered the question, 40% strongly agreed that a working mother does not hurt children. What is the 90% confidence interval for this statistic?
1. 0.74 to 0.86
2. 0.37 to 0.43
3. 0.14 to 0.18
4. 0.19 to 0.22
According to a report published by the Pew Research Center in February 2010, 61% of Millennials (people born between 1981 and 1996) think that their generation has a unique and distinctive identity (N?= 527).
Question 8What is the 95% confidence interval to estimate the percentage of Millennials who believe that their generation has a distinctive identity as compared with the other generations (Generation X, Baby Boomers, or the Silent Generation)?
1. CI = 6.84 to 5.16
2. CI = 50.88 to 60.76
3. CI = 102.84 to 112.16
4. CI = 56.84 to 65.16
Question 9What is the 99% confidence interval?
1. CI = 55.53 to 66.47
2. CI = 111.06 to 132.94
3. CI = 27.77 to 33.24
4. CI = 57.55 to 68.49
Question 10Are both these results compatible with the conclusion that the majority of Millennials believe they have a unique identity that separates them from the previous generations?
1. Yes
2. No
RES710 Statistical Research Methods And Design I
Week 7 Quiz
Question 1Is there a significant difference between first-and second-generation Hispanic American populations?
1. Yes
2. No
Question 2What is the difference?
1. -2.33
2. 2.33
3. 0.0198
4. 0.07
Question 3Is there a significant difference between first-and second-generation Asian populations?
1. Yes
2. No
Question 4What is the difference?
1. 3.50
2. -3.50
3. 0.0004
4. 0.07
5. In 2016, the Pew Research Center surveyed 1,799 white and 1,001 black Americans about their views on race and inequality. Pew researchers found “profound differences between black and white adults in their views on racial discrimination, barriers to black progress and the prospects for change.” White and black respondents also disagreed about the best methods to achieve racial equality. For example, 34% of whites and 41% of blacks said that “bringing people of different racial backgrounds together to talk about race” would be a very effective tactic for groups striving to help blacks achieve equality (Frankfort-Nachmias, & Leon-Guerrero, 2021, p. 276).
Test whether the proportion of white respondents who support this tactic is significantly less than the proportion of black respondents.
Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2021).?Social statistics for a diverse society?(9th ed.). SAGE Publications, Inc.
Question 5What is the null hypotheses?
1. π? ≠ π?
2. π? = π?
3. μ1 = μ2
4. μ1 ≠ μ2
Question 6What is the research hypotheses?
1. π? ≠ π?
2. π? = π?
3. μ1 = μ2
4. μ1 ≠ μ2
Question 7Calculate the Z statistic and test the hypothesis at the 0.05 level. What is the Z statistic?
1. 3.50
2. -3.50
3. 0.0004
4. 0.07
Question 8What is your decision (step 5 in hypothesis testing)? Do you accept or reject the null hypothesis?
1. Accept
2. Reject
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