a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses?The test statistic, t,The P-value is State the conclusion for the test. A.Fail to rejectthe null hypothesis. Thereissufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. B.Rejectthe null hypothesis. Thereis notsufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. C.Fail to rejectthe null hypothesis. Thereis notsufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. D.Rejectthe null hypothesis. Thereissufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda. b. Construct a confidence interval appropriate for the hypothesis test in part (a). Does the confidence interval support the conclusion found with the hypothesis test? Data on the weights (Ib) of the contents of cans of diet soda versus the contentsof cans of the regular version of the soda is summarized to the right. Assume thatthe two samples are independent simple random samples selected from normallydistributed populations, and do not assume that the population standarddeviations are equal. Complete parts (a) and (b) below. Use a 0.05 significancelevel for both parts.DietRegularH237370.78189 Ib0.81552 Ib0.00448 Ib0.00753 lb

Name: a. Test the claim that the contents of cans of diet soda have weights
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Description: a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative hypotheses?The test statistic, t,The P-value is State the conclusion for the test.

Answered: Data on the weights (Ib) of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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a. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda.

What are the null and alternative hypotheses?

The test statistic, t,

The P-value is

State the conclusion for the test.

Fail to reject

the null hypothesis. There

sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.

Reject

the null hypothesis. There

is not

sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.

Fail to reject

the null hypothesis. There

is not

sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.

Reject

the null hypothesis. There

sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.

b. Construct a confidence interval appropriate for the hypothesis test in part (a).

Does the confidence interval support the conclusion found with the hypothesis test?

Data on the weights (Ib) of the contents of cans of diet soda versus the contents
of cans of the regular version of the soda is summarized to the right. 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 0.05 significance
level for both parts.
Diet
Regular
H2
37
37
0.78189 Ib
0.81552 Ib
0.00448 Ib
0.00753 lb

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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