A study was done using a treatment group and a placebo group. 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. Complete parts (a) and (b) below. Use a 0.01 significance level for both parts. Treatment Placebo μ μ1 μ2 n 26 32 x 2.38 2.63 s 0.85 0.57 a. Test the claim that the two samples are from populations with the same mean. What are the null and alternative hypotheses? A. H0: μ1<μ2 H1: μ1≥μ2 B. H0: μ1=μ2 H1: μ1≠μ2 Your answer is correct. C. H0: μ1=μ2 H1: μ1>μ2 D. H0: μ1≠μ2 H1: μ1<μ2 The test statistic, t, is negative 1.28−1.28. (Round to two decimal places as needed.) The P-value is 0.2060.206. (Round to three decimal places as needed.) State the conclusion for the test. A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean. Your answer is correct. B. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean. C. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean. D. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean. b. Construct a confidence interval suitable for testing the claim that the two samples are from populations with the same mean. ?<μ1−μ2? (Round to three decimal places as needed.) Please demonstrate how to use a calculator for this part of the problem i need to learn

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Description: A study was done using a treatment group and a placebo group. 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

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A study was done using a treatment group and a placebo group. 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. Complete parts (a) and (b) below. Use a 0.01 significance level for both parts.			Treatment	Placebo
μ	μ1	μ2
n	26	32
x	2.38	2.63
s	0.85	0.57

a. Test the claim that the two samples are from populations with the same mean.

What are the null and alternative hypotheses?

H0:

μ1<μ2

H1:

μ1≥μ2

H0:

μ1=μ2

H1:

μ1≠μ2

Your answer is correct.

H0:

μ1=μ2

H1:

μ1>μ2

H0:

μ1≠μ2

H1:

μ1<μ2

The test statistic, t, is

negative 1.28−1.28.

(Round to two decimal places as needed.)

The P-value is

0.2060.206.

(Round to three decimal places as needed.)

State the conclusion for the test.

Fail to reject

the null hypothesis. There

is not

sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean.

Your answer is correct.

Reject

the null hypothesis. There

is not

sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean.

Fail to reject

the null hypothesis. There

sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean.

Reject

the null hypothesis. There

sufficient evidence to warrant rejection of the claim that the two samples are from populations with the same mean.

b. Construct a confidence interval suitable for testing the claim that the two samples are from populations with the same mean.

?<μ1−μ2<??

(Round to three decimal places as needed.) Please demonstrate how to use a calculator for this part of the problem i need to learn

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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