A teacher wants to investigate whether there is a difference between male and female students in the amount of time they spend studying for statistics. What was the statistical test used to analyze the data? Is this a one or two tailed test? Identify Ha and Ho for this study. Conduct the appropriate analysis. Should Ho be rejected?
"Was" implies that the test has already been designated. What was it? Where is the data?
However, I can tell you that:
Ho: female time mean = male time mean
Ha: female time mean ≠ male time mean
With those hypotheses, it would be a two-tailed test.
To analyze the data and determine if there is a difference between male and female students in the amount of time they spend studying for statistics, the teacher would typically use a statistical test called an independent samples t-test. This test is used to compare the means of two independent groups.
In this case, the null hypothesis (Ho) would state that there is no difference between the mean amount of time spent studying for statistics among male and female students, while the alternative hypothesis (Ha) would state that there is a difference between the means.
Since the question doesn't provide any specific data or values, I can't perform the analysis for you. However, I can guide you on how to conduct it on your own:
1. Collect the data: Gather the amount of time spent studying for statistics from a random sample of male students and a random sample of female students.
2. Calculate the means: Calculate the mean amount of time spent studying for statistics for each group (male and female).
3. Perform the independent samples t-test: Use statistical software or a calculator to run the independent samples t-test using your data. This test will produce a t-value and a p-value.
4. Interpret the results: Compare the obtained p-value to the significance level (usually set to 0.05). If the p-value is less than the significance level, Ho can be rejected, suggesting that there is a statistically significant difference between male and female students in terms of the amount of time they spend studying for statistics. If the p-value is greater than the significance level, there is not enough evidence to reject Ho, indicating that there is no significant difference between the two groups.
Please note that without actual data, I cannot conduct the analysis for you or make conclusions about whether Ho should be rejected in this specific case.