I ran this an an independent samples t-test. It is a t rest according to the professor, just want to make sure I have the right one.

A researcher wanted to answer the following question: What is the difference in students' computer anxiety based on whether or not they own computers? The researcher surveyed 92 undergraduate education students via an online survey. In the survey, the researcher asked a yes-or-no question to determine if students owned computers. Participants' computer anxiety was measured using the Computer Anxiety Scale. Scores ranged from 0 to 40 with higher scores reflecting greater computer anxiety. This variable was measured on the interval scale. The researcher analyzed the data using what t test?

Based on the information provided, the appropriate t-test to analyze the data is an independent samples t-test. This is because the researcher is comparing the difference in students' computer anxiety based on whether or not they own computers, which involves comparing two separate and independent groups (students who own computers and those who do not own computers).

Based on the given information, the researcher surveyed undergraduate education students to determine the difference in computer anxiety based on whether or not they own computers. The variable being measured (computer anxiety) is on an interval scale.

To analyze this data, the appropriate test is an independent samples t-test. This test is used when comparing the means of two independent groups to determine if there is a statistically significant difference between them. In this case, the two groups are students who own computers and those who do not.

To conduct an independent samples t-test, the researcher would need the following information:
1. The mean and standard deviation of computer anxiety scores for students who own computers.
2. The mean and standard deviation of computer anxiety scores for students who do not own computers.

Using statistical software or a calculator that can perform a t-test, the researcher can input the data from the two groups and the test will calculate the t-value and give a p-value, which indicates the significance level of the difference between the two groups' means.

By comparing the p-value to a predetermined significance level (e.g., 0.05), the researcher can determine if the difference in computer anxiety between the two groups is statistically significant.