Do students perform better when they take an exam alone than when they take an exam in a classroom setting? Eight students were given two tests of equal difficulty. They took one test in a solitary room and they took the other in a room filled with other students. The results are shown below.Exam ScoresAlone8589717678847990Classroom9086697378847681Assume a Normal distribution. What can be concluded at the the αα = 0.10 level of significance level of significance?The test statistic ? t+= ____________ (please show your answer to 3 decimal places.)The p-value = __________ (Please show your answer to 4 decimal places.)

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Excel Procedure: Enter Alone and Classroom in Excel sheet>Data>Data Analysis> t-Test:…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Do students perform better when they take an exam alone than when they take an exam in a classroom setting? Eight students were given two tests of equal difficulty. They took one test in a solitary room and they took the other in a room filled with other students. The results are shown below.

Exam Scores

Alone	85	89	71	76	78	84	79	90
Classroom	90	86	69	73	78	84	76	81

Assume a Normal distribution. What can be concluded at the the αα = 0.10 level of significance level of significance?

The test statistic ? t+= ____________ (please show your answer to 3 decimal places.)

The p-value = __________ (Please show your answer to 4 decimal places.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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