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**Question 1: Name the statistical test.**

A researcher would like to predict students' grades based on how much studying they do each day. In order to do so, he asks a sample of students to tell him how many hours they study each week, and he also has them tell him their GPA.

A. One sample z test
B. Dependent groups/Repeated Measures t test
C. Independent groups ANOVA
D. One sample t test
E. Independent groups t test
F. Repeated Measures ANOVA
G. Correlation
H. Factorial ANOVA

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**Question 2: Name the statistical test.**

The mean IQ is 100 with a standard deviation of 15. A developmental psychologist believes that children who go through her special learning program will have higher IQs. She measures the IQ of a sample of children who go through her learning program and compares their performance to the general population.

A. Factorial ANOVA
B. Correlation
C. One sample t test
D. Dependent groups/Repeated Measures t test
E. One sample z test
F. Independent groups t test
G. Independent groups ANOVA
H. Repeated Measures ANOVA

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**Question 3: Name the statistical test.**

A psychologist who specializes in eating behavior wants to know if temperature and whether a person has just exercised have a significant influence on how much people eat. He gathers 100 subjects. Half of them are given 45 minutes of physical exercise followed by the opportunity to eat as much food as they'd like from a buffet. The other half are shown an interesting documentary film for 45 minutes immediately followed by the opportunity to eat as much food as they'd like from a buffet. Half of each group is studied in a room with a temperature of 70 degrees. The other half of each group is studied in a room with a temperature of 80 degrees. The average amount of food that each of the groups consumes is measured.

A. Repeated Measures ANOVA
B. Dependent groups/Repeated Measures t test
C. Independent groups ANOVA
D. Independent groups t test
E. Factorial ANOVA
F. One sample t test
G. One sample z test
H. Correlation

Answer :

Final answer:

The appropriate statistical test to predict students' grades based on their studying hours is correlation analysis.

Explanation:

When a researcher wants to predict students' grades based on how much they study each day, the appropriate statistical test to use is correlation analysis. Correlation analysis measures the strength and direction of the linear relationship between two variables.

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