Given that E1 and E2 have a high Spearmancorrelation, what can we say about the Pearson correlation of E1 and E2 The Pearson correlation must be zero r 1 1 sqrt(rho) We do not know anything about the Pearson correlation The Pearson correlation must be low The Pearson correlation must be high Select the choice that is true regarding the ANOVA test Independent variables can have independent or dependenteffects Independent variables can only have independent effects Independent variables can only have dependent effects Dependent effects are only caused by dependent variables Claiming dependents on your taxes will improve the significanceof your ANOVA You are examining the durations of seizures in epilepsy patients,and how they are affected by time spent exercising per day and anew medication You have constructed a matrix such that each column represents a binned average amount of daily exercise (e g 0 20minutes , 21 40minutes , 40 minutes ),and the first 10rows consist of measurements of seizure durations over a 24hour period for patients who have not been receiving the medication, and the second 10 rows contain the same type of measurements for patients who have been receiving the medication The matrix is named sdat 112019 After running the ANOVA, you receive a vector of p values 0 00130 7203 0 2449 Select the proper interpretation of these p values The only significant effect is due to the medication The only significant effect is due to the exercise duration Both medication and exercise have significant main effects,but there is no interaction effect Both medication and exercise have significant main effects, and there is a significant interaction effect The only significant effect is an interaction effect There is a significant effect from medication, and there is an interaction effect One of your labmates suggests doing a bunch of paired sample t tests instead of one ANOVA What is the best response Ok, sure There's no reason not to do that Whoa That means there's a bigger risk of a type I error Nah, I prefer doing the ANOVA because it sounds cooler Trick question You can get the same result with just one t test It won't work because ANOVA and t tests have different assumptions That's even better since we'll get more information Consider a class where each student has taken Exam 1 and Exam 2, and each exam is composed of questions of several types multiplechoice,numeric,matching,true false There is also a record of how many rows from the front of the room each student sat The instructor would like to examine the data to see if there are any reliable patterns Match the instructor's question to the proper statistical test that would best answer it Did students show any improvement in performance from Exam 1 to Exam 2 Was the second exam harder on the whole than the first Were some types of questions harder than others Did students in the back have a harder time with different types of questions Is there a relationship between how far back a student sat and his her exam average A 1 way ANOVA B independent samples t test C paired samples t test D Pearson correlation E 2 way ANOVA

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Given that E1 and E2 have a high Spearmancorrelation, what can we say about the Pearson correlation of E1 and E2?

You are examining the durations of seizures in epilepsy patients,and how they are affected by time spent exercising per day and anew medication.You have constructed a matrix such that each column represents a binned average amount of daily exercise (e.g."0-20minutes","21-40minutes","40+minutes"),and the first 10rows consist of measurements of seizure durations over a 24hour period for patients who have not been receiving the medication, and the second 10 rows contain the same type of measurements for patients who have been receiving the medication.The matrix is named "sdat_112019".

After running the ANOVA, you receive a vector of p values:[0.00130.7203 0.2449 ]. Select the proper interpretation of these p values.

The only significant effect is due to the medication.
The only significant effect is due to the exercise duration.
Both medication and exercise have significant main effects,but there is no interaction effect.
Both medication and exercise have significant main effects, and there is a significant interaction effect.
The only significant effect is an interaction effect.
There is a significant effect from medication, and there is an interaction effect.

One of your labmates suggests doing a bunch of paired-sample t tests instead of one ANOVA.

What is the best response?

Consider a class where each student has taken Exam 1 and Exam 2, and each exam is composed of questions of several types:multiplechoice,numeric,matching,true/false.There is also a record of how many rows from the front of the room each student sat.The instructor would like to examine the data to see if there are any reliable patterns. Match the instructor's question to the proper statistical test that would best answer it.

Did students show any improvement in performance from Exam 1 to Exam 2?
Was the second exam harder on the whole than the first?
Were some types of questions harder than others?
Did students in the back have a harder time with different types of questions?
Is there a relationship between how far back a student sat and his/her exam average?

A.1 way ANOVA

B.independent samples t test

C.paired samples t test

D.Pearson correlation

E.2 way ANOVA