Choosing the Right Statistical Test (Test of DIfferences)

A student council wants to determine if the average number of hours students spend on homework per week at their school differs from the national average of 10 hours. They collect data from a sample of students at their school.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A student is conducting a study to determine if their classmates' stress levels change from the beginning of the semester to just before final exams. The stress levels of the same group of students are measured at both time points.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

Two separate classes, taught by different instructors, take the same math test. A teacher wants to compare the average test scores of the two classes to see if there is a significant difference in performance.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A group of students is evaluating the effectiveness of three different study techniques. Each student uses all three techniques in a random order, and their test scores are recorded after each study technique. The study aims to compare the performance across all three techniques.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A school club wants to compare the average number of volunteer hours completed by students from three different grade levels: freshmen, sophomores, and juniors.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A student wants to determine if the average amount of sleep they get per night is different from the recommended 8 hours. The student collects data on their own sleep habits over several weeks.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A sports team is evaluating the impact of a new training program. They want to compare the running times of the athletes in a 5K race before and after the program.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A student wants to compare the average grades of two different sections of the same course. Both sections were taught by different instructors, and the student wants to see if there is a significant difference in their average scores.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A science class is testing the effect of three different amounts of sunlight on plant growth. The same set of plants is exposed to each of the three light conditions, and their growth is measured after each exposure.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA

A student wants to compare the average screen time of students using three different types of devices: smartphones, tablets, and laptops. The student collects data from different groups of students using each device.

• One-Sample t-Test

• Paired t-Test

• Independent t-Test

• Repeated Measures ANOVA

• One-Way ANOVA