Teacher Volther wants to compare the test scores of students before and after a new teaching method is introduced. The same group of students takes the test both before and after the method is implemented.

Which statistical test should the teacher use to determine if there is a significant difference in the scores?

• One-sample t-test

• Paired-sample t-test

• Independent-samples t-test

• Chi-square test

Sir Les is comparing the average anxiety levels between two different treatment groups (Group A and Group B). Each group is independently selected, and the anxiety levels are measured using a standardized scale.

Which type of t-test would be appropriate for this comparison?

• Paired-sample t-test

• Independent-samples t-test

• One-sample t-test

• T-test

Jhazz wants to determine if the average weight of people in a community is different from the national average weight. The researcher collects a sample of 50 people from the community and compares their average weight to the national average.

Which statistical test should the researcher use?

• Paired-sample t-test

• Independent-samples t-test

• One-sample t-test

• Two-way ANOVA

Dr. Sangil wants to compare the weight loss of two different groups: one that followed a high-protein diet and the other a low-carb diet. The participants in the two groups are different (independent groups).

Which t-test is appropriate for comparing the weight loss between the two groups?

• Paired-sample t-test

• Independent-samples t-test

• One-sample t-test

• Multiple regression analysis

You want to test if a new mobile app has an effect on users' sleep quality. You measure sleep quality before and after using the app for one month, using the same participants.

Which statistical test should you use to determine if there is a significant change in sleep quality?

• Paired-sample t-test

• Independent-samples t-test

• One-sample t-test

• Chi-square test

It is a statistical test used to determine whether there is a significant difference between the means of two groups or between a sample and a known population mean. It helps to assess if the differences observed in the data are likely due to random chance or if they reflect a true underlying difference.

This test compares the mean of a single sample to a known population mean. It's used when you want to test if the sample mean is significantly different from a specific value (like a national average).

This test compares the means of two independent groups to determine if there is a statistically significant difference between them. The groups should be unrelated (e.g., two different sets of people).

This test compares the means of two related groups. It's used when the data points are paired or matched in some way, such as measuring the same individuals before and after an intervention.

This value helps to determine the significance of the test. If the value is smaller than a chosen significance level (e.g., 0.05), the null hypothesis is rejected, indicating a significant difference.