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Part 1: install.packages ("poliscidata") The two variables you will use are: `gender and authoritarianism`. **Question 1:** Outside of code chunks, write down the null hypothesis: HO: It is likely that there is NO difference between the level of authoritarianism between men and women. **Question 2:** Complete the following codes to create two subsets of the nes data: one subset with all female respondents and one subset with all male respondent. Hint: the gender variable has two values: Female and Male. I have included codes for creating the female group. You only need to complete the codes for the male group. ***{r} library(poliscidata) female_nes <- subset(nes, gender== "Female") male_nes <- subset(nes, gender == "Male") **Question 3:** I included a summary statistic for the dependent variable `authoritarianism below. It is an ordered variable and larger number meaning more authoritarian. Outside of the code chunks, explain which is an appropriate test for the hypothesis (one-sample t-test, two-sample t-test, and paired t-test.) {r} summary(nes$authoritarianism) Mean 3rd Qu. Min. 1st Qu. Median Max. 0.000 2.000 3.000 2.391 3.000 4.000 NA's 437 ^ **Question 4:** Based on your answer in Question 3, conduct the test in R in a new code chunk. Check the lecture notes for example codes for each of the tests. **Question 5:** Based on the test results in Question 4, draw a conclusion outside of th code chunks. Can you reject the null and why? Answer in one to two sentences. Remember t mention the p-value and the level of significance.

Part 1: install.packages ("poliscidata") The two variables you will use are: `gender and authoritarianism`. **Question 1:** Outside of code chunks, write down the null hypothesis: HO: It is likely that there is NO difference between the level of authoritarianism between men and women. **Question 2:** Complete the following codes to create two subsets of the nes data: one subset with all female respondents and one subset with all male respondent. Hint: the gender variable has two values: Female and Male. I have included codes for creating the female group. You only need to complete the codes for the male group. ***{r} library(poliscidata) female_nes <- subset(nes, gender== "Female") male_nes <- subset(nes, gender == "Male") **Question 3:** I included a summary statistic for the dependent variable `authoritarianism below. It is an ordered variable and larger number meaning more authoritarian. Outside of the code chunks, explain which is an appropriate test for the hypothesis (one-sample t-test, two-sample t-test, and paired t-test.) {r} summary(nes$authoritarianism) Mean 3rd Qu. Min. 1st Qu. Median Max. 0.000 2.000 3.000 2.391 3.000 4.000 NA's 437 ^ **Question 4:** Based on your answer in Question 3, conduct the test in R in a new code chunk. Check the lecture notes for example codes for each of the tests. **Question 5:** Based on the test results in Question 4, draw a conclusion outside of th code chunks. Can you reject the null and why? Answer in one to two sentences. Remember t mention the p-value and the level of significance.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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១ ន ជ ន ន ដ ន ន ~ 19 20 Part 1: install.packages ("poliscidata") 21 22 The two variables you will use are: `gender and authoritarianism`. 23 24 25 **Question 1:** Outside of code chunks, write down the null hypothesis: 26 28 29 35- 36 37 30 31 - ```{r} 32 library (poliscidata) 33 34 38 40 41- 44 4 45 46 7 48 49 HO: It is likely that there is NO difference between the level of authoritarianism between men and women. 39-{r} **Question 2:** Complete the following codes to create two subsets of the nes data: one subset with all female respondents and one subset with all male respondent. Hint: the gender variable has two values: Female and Male. I have included codes for creating the female group. You only need to complete the codes for the male group. 47 50 51 female_nes < subset(nes, gender "Female") male_nes <- subset(nes, gender == "Male") **Question 3:** I included a summary statistic for the dependent variable `authoritarianism below. It is an ordered variable and larger number meaning more authoritarian. Outside of the code chunks, explain which is an appropriate test for the hypothesis (one-sample t-test, two-sample t-test, and paired t-test.) summary(nes$authoritarianism) Min. 1st Qu. Median 0.000 2.000 3.000 Mean 3rd Qu. Max. 2.391 3.000 4.000 42 43 **Question 4:** Based on your answer in Question 3, conduct the test in R in a new code chunk. Check the lecture notes for example codes for each of the tests. - ``{r} ▶ NA's 437 ▶ X ▶ **Question 5:** Based on the test results in Question 4, draw a conclusion outside of the code chunks. Can you reject the null and why? Answer in one to two sentences. Remember to mention the p-value and the level of significance.
Transcribed Image Text:១ ន ជ ន ន ដ ន ន ~ 19 20 Part 1: install.packages ("poliscidata") 21 22 The two variables you will use are: `gender and authoritarianism`. 23 24 25 **Question 1:** Outside of code chunks, write down the null hypothesis: 26 28 29 35- 36 37 30 31 - ```{r} 32 library (poliscidata) 33 34 38 40 41- 44 4 45 46 7 48 49 HO: It is likely that there is NO difference between the level of authoritarianism between men and women. 39-{r} **Question 2:** Complete the following codes to create two subsets of the nes data: one subset with all female respondents and one subset with all male respondent. Hint: the gender variable has two values: Female and Male. I have included codes for creating the female group. You only need to complete the codes for the male group. 47 50 51 female_nes < subset(nes, gender "Female") male_nes <- subset(nes, gender == "Male") **Question 3:** I included a summary statistic for the dependent variable `authoritarianism below. It is an ordered variable and larger number meaning more authoritarian. Outside of the code chunks, explain which is an appropriate test for the hypothesis (one-sample t-test, two-sample t-test, and paired t-test.) summary(nes$authoritarianism) Min. 1st Qu. Median 0.000 2.000 3.000 Mean 3rd Qu. Max. 2.391 3.000 4.000 42 43 **Question 4:** Based on your answer in Question 3, conduct the test in R in a new code chunk. Check the lecture notes for example codes for each of the tests. - ``{r} ▶ NA's 437 ▶ X ▶ **Question 5:** Based on the test results in Question 4, draw a conclusion outside of the code chunks. Can you reject the null and why? Answer in one to two sentences. Remember to mention the p-value and the level of significance.
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