12. Chapter 10 Hypothesis Testing and Confidence Interval - One
sample)
(a) Please write down a research question for one-sample t test
that you want to examine and then state the null and alternate
hypotheses (5 points)?
(b) Please organize the dataset with only the one variable that
you want to examine and select a level of significance
(5points)?
(c) Decide on the test statistic and perform the test using hand
or excel (hint: write the equation and calculate the statistic) (5
points)?
(d) What’s your decision regarding the hypothesis and interpret
the result using test-score rejection region rule or p value rule
(5 points).
2. Please use any variables to examine whether there are
differences between male and female respondents.
(a) Please write down a research question for the test that you
want to examine and then state the null and alternate hypotheses
(5 points)?
(b) Please organize the dataset with only the one variable that
you want to examine and select a level of significance
(5points)?
(c) Decide on the test statistic and perform the test using hand
or excel (hint: write the equation and calculate the statistic) (5
points)?
(d) What’s your decision regarding the hypothesis and interpret
the result using test-score rejection region rule or p value rule
(5 points).
Hint: You should have two columns of data, with one column is
gender (you could delete the responses that the gender answers
are not female or male).
3. Please Perform ANOVA One-Factor Analysis by doing the
13. following (Hint: Chapter 12, ANOVA):
(a) Please write down a research question for the test that you
want to examine and then state the null and alternate hypotheses
(5 points)?
(b) Please organize the dataset with only the one variable that
you want to examine and select a level of significance
(5points)?
(c) Decide on the test statistic and perform the test using hand
or excel (hint: write the equation and calculate the statistic) (5
points)?
(d) What’s your decision regarding the hypothesis and interpret
the result using test-score rejection region rule or p value rule
(5 points).
Note:
i. in Excel, you may use Sort function to select the data under
different categories from the dataset, and then use the organized
dataset with several column to perform the analysis.
ii. For one-way/factor ANOVA test, please watch the Excel and
general video (s) under Chapter 12)
iii. You should have two columns of data, with one column is
categorical variable (you could delete the responses that the
gender answers are not female or male).
4. Please Perform one Chi-square Test by doing the following
(Hint: Chapter 15/17, Nonparametric Methods: Chi-Square):
(a) Please write down a research question for the test that you
want to examine and then state the null and alternate hypotheses
(5 points)?
(b) Please organize the dataset with only the one variable that
you want to examine and select a level of significance
(5points)?
(c) Decide on the test statistic and perform the test using hand
or excel (hint: write the equation and calculate the statistic) (5
14. points)?
(d) What’s your decision regarding the hypothesis and interpret
the result using test-score rejection region rule or p value rule
(5 points).
Note:
i. in Excel, you may use PivotTable function to build your
contingency table from the dataset, and then use the table to
perform the analysis.See Video under Chapter 1: How to build a
PivotTable in Excel (optional):
http://www.youtube.com/watch?v=7zHLnUCtfUk
ii. For Chi-square test, please watch the video under Chapter
15/17:: Chi-Square Test (Test of Contingency Table or Test for
Independence) In Excel using data analysis)
5. Please Perform regression analysis by doing the following
(Hint: Chapter 13 on simple regression and 14 on multiple
regression):
a. Write down potential questions that you could answer using
regression analysis for the socialmedia_2021.xls dataset (5
points);
b. Perform one simple regression using any two reasonable
variables from the socialmedia_2021.xls dataset (two
quantitative variables) and interpret the analysis results (5
points);
c. Add one or more quantitative variable to the analysis in #b,
perform one multiple regression analysis (5 points)
d. Interpret your findings from the multiple regression analysis
(5 points).
Note:
i. In Excel, you may copy the columns of the variables you want
to analyze from the socialmedia_2021.xls dataset and paste
them next to each other in a new datasheet.
ii. Be sure to be clear about which is your dependent variable
and and which is (are) independent variable (s)
iii. For simple regression analysis, please watch the video under
Chapter 13: simple regression basics (Excel): and its
15. interpretation explanation of simple regression.
iv. For multiple regression analysis, please watch the video
under Chapter 14: Multiple regression analysis using Excel and
Multiple regression analysis interpretation).
