Consider the following hypothesis statement usingα=0.01and data from two independent samples. Assume the population variances are equal and the populations are normally distributed. Complete parts a and b.H0: μ1−μ2=0x1=14.5x2=13.0H1: μ1−μ2≠0s1=2.6s2=3.3 n1=22n2=15 a. Calculate the appropriate test statistic and interpret the result.The test statistic is?The critical value(s) is(are)?b. Identify the p-value from part a and interpret the result.

Introduction: Denote μ1, μ2 as the true population means. The null and alternative hypotheses are as…

Answered: Consider the following hypothesis…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

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Consider the following hypothesis statement using

α=0.01

and data from two independent samples. Assume the population variances are equal and the populations are normally distributed. Complete parts a and b.

H0: μ1−μ2=0	x1=14.5	x2=13.0
H1: μ1−μ2≠0	s1=2.6	s2=3.3
	n1=22	n2=15

a. Calculate the appropriate test statistic and interpret the result.

The test statistic is?

The critical value(s) is(are)?

b. Identify the p-value from part a and interpret the result.

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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