#4A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. ProctoredNonproctoreduu1u2n3430x overbar76.0885.09s10.7322.81Test Statistic t isP-ValueConclusion of testConstruct a confidence interval suitable for testing the claim that students taking nonproctored test get a higher mean score than those taking a protctored testdoes the confidence interval support the conclusion

Name: #4A study was done on proctored and nonproctored tests. The results ar
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Description: #4A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population stand

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.

	Proctored	Nonproctored
u	u1	u2
n	34	30
x overbar	76.08	85.09
s	10.73	22.81

Test Statistic t is

P-Value

Conclusion of test

Construct a confidence interval suitable for testing the claim that students taking nonproctored test get a higher mean score than those taking a protctored test

does the confidence interval support the conclusion

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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