Question

In: Statistics and Probability

Identify the type of test (chi-square, t-test, or ANOVA) that we have to use in each...

  1. Identify the type of test (chi-square, t-test, or ANOVA) that we have to use in each of the following scenarios. Explain why you chose that test.
    1. We want to compare males and females (gender) based on the difference in time spent on social media (measured as hours per day)
  1. We want to compare our customers and the customers of our closest competitors based on their brand loyalty (measured as a Likert scale from 1 to 5)

    1. We want to compare resident and commuter students based on differences in their gender (males and females)
  1. We want to compare freshmen, sophomores, juniors, and seniors based on differences in time spent studying (hours per day)

  1. We want to compare freshmen, sophomores, juniors, and seniors based on their willingness to recommend their school (simply measured as Yes/No).
  1. We want to compare males and females based on their consumption of sugary drinks (ounces per day).

Solutions

Expert Solution

We want to compare males and females (gender) based on the difference in time spent on social media (measured as hours per day)

- One variable is categorical, other is numeric and there are two categories, hence we will use t-test

We want to compare our customers and the customers of our closest competitors based on their brand loyalty (measured as a Likert scale from 1 to 5)

- One variable is categorical, other is numeric and there are more than two categories, hence we will use ANOVA

We want to compare resident and commuter students based on differences in their gender (males and females)

- Both the variables are categorical, hence we will use chi square

We want to compare freshmen, sophomores, juniors, and seniors based on differences in time spent studying (hours per day)

- One variable is categorical, other is numeric and there are more than two categories, hence we will use ANOVA

We want to compare freshmen, sophomores, juniors, and seniors based on their willingness to recommend their school (simply measured as Yes/No).

- Both the variables are categorical, hence we will use chi square

We want to compare males and females based on their consumption of sugary drinks (ounces per day).

- One variable is categorical, other is numeric and there are two categories, hence we will use t-test


Related Solutions

what type of questions can be answered by following analysis...? Chi square t test anova manova...
what type of questions can be answered by following analysis...? Chi square t test anova manova ancova mancova path analysis
Chi Square Test We will now use Excel to run an example of a chi square...
Chi Square Test We will now use Excel to run an example of a chi square test. Chi square test is checking the independence of two variables. Our example will test if taking hormonal pills and being overweight are related. We will test the independence on 200 random patients. Thus, N=200. They will be divided first into two groups, those who take hormonal pills and those who do not. Second, they will be divided into three groups based on weight,...
You will perform a Chi-Square test and an ANOVA test. For each hypothesis test make sure...
You will perform a Chi-Square test and an ANOVA test. For each hypothesis test make sure to report the following steps: Identify the null hypothesis, Ho, and the alternative hypothesis, Ha. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Find the critical value(s) and identify the rejection region(s). Find the appropriate standardized test statistic. If convenient, use technology. Decide whether to reject or fail to reject the null hypothesis. Interpret the decision in the context of the original...
Find a research article that uses either: t-test, ANOVA, chi-square, or correlation. What was their hypothesis?...
Find a research article that uses either: t-test, ANOVA, chi-square, or correlation. What was their hypothesis? What were their conclusions? What were the limitations of the analysis/analyses that they used? If you were to conduct a similar experiment, what would your hypothesis be? How would you go about collecting data (describe the nature of your sample: where would you access participants, how many people would you sample, etc.)? What analysis/analyses would you use to test your hypothesis? Why is this...
When we run a chi-square test of independence on a 2x2 table, the resulting Chi-square test...
When we run a chi-square test of independence on a 2x2 table, the resulting Chi-square test statistic would be equal to the square of the Z-test statistic from the Z-test of two independent proportions. True or false
When would you use ANOVA instead of a chi-square test? Is it possible to establish through...
When would you use ANOVA instead of a chi-square test? Is it possible to establish through a regression analysis if a variable is a dependent or an independent variable? Why or why not?
1.a). When do researchers use ANOVA vs. Chi-square test? Indicate two main characteristics of ANOVA and...
1.a). When do researchers use ANOVA vs. Chi-square test? Indicate two main characteristics of ANOVA and Chi-square tests (two for each test). 1.b). What are some of the major limitations of both ANOVA and Chi-square tests? (at least two for each)
One-sample t-test Independent samples t-test Paired samples t-test One-way ANOVA Correlation Simple linear regression Chi-square test...
One-sample t-test Independent samples t-test Paired samples t-test One-way ANOVA Correlation Simple linear regression Chi-square test of independence/association ______ Statistical test used to compare means of a continuous variable between >2 groups ______   Statistical test used to examine whether 2 categorical variables are independent ______   Statistical test used to compare a sample mean to a population mean (when the         population standard deviation is known) ______   Statistical test used to compare means of a continuous variable between 2 groups    ...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed.   Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed.   Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT