Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

a. calculate the correlation coefficent between the magnitude of the increase in

ID: 3392096 • Letter: A

Question

a. calculate the correlation coefficent between the magnitude of the increase in slow wave sleep and the magnitude of the improvement in performance upon waking?

b. what is the standard error for your estimate in part a?

c. provide an interpretation of the quantity you calculated in part b. what does it measure?

d. test the hypothesis that the two variables are correlated in the population?

e. is this an observational or experimental study? Explain?

upon waking. ncrease in slow-wave Improvement in task sleep (%) performance (96) 14 13 15 17 18 31 32 15 14 10 27 26 54

Explanation / Answer

a. calculate the correlation coefficent between the magnitude of the increase in slow wave sleep and the magnitude of the improvement in performance upon waking?

> 0.863

b. what is the standard error for your estimate in part a?

> 8.083

c. provide an interpretation of the quantity you calculated in part b. what does it measure?

> The standard error measures the accuracy of predictions. the smaller the standard error is the higher the chance of predictions being accurate.

d. test the hypothesis that the two variables are correlated in the population?

> Since the Significance F is much smaller value. The null hypothesis can be rejected. Thus the two variables are correlated in this example.

e. is this an observational or experimental study? Explain?

> This is an experimental study since some specific activity is being done and we are checking the effect of that activity. We are not just observing here.

SUMMARY OUTPUT Regression Statistics Multiple R 0.863321682 R Square 0.745324326 Adjusted R Square 0.713489867 Standard Error 8.083133314 Observations 10 ANOVA df SS MS F Significance F Regression 1 1529.703647 1529.704 23.4125 0.00129 Residual 8 522.6963534 65.33704 Total 9 2052.4 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 9.539054038 4.027680164 2.368374 0.045361 0.251207 18.8269 0.251207 18.8269 Improvement in task Performance 1.356841979 0.280417661 4.838647 0.00129 0.710198 2.003486 0.710198 2.003486