a. What are the null and alternative hypotheses?a. What are the null and alternative hypotheses? Assume that population 1 consists of the 1988 weights and population 2 consists of the 2012 weights.b. The test statistic, t, is c. The P-value isd. State the conclusion for the test.e. Construct a confidence interval suitable for testing the claim that the two samples are from populations with the same mean. Listed in the accompanying table are weights (kg) of randomly selected U.S. Army male personnel measured in 1988 (from "ANSUR I 1988") and different weights (kg) of randomly selected U.S.Army male personnel measured in 2012 (from "ANSUR II 2012"). Assume that the two samples are independent simple random samples selected from normally distributed populations. Do notassume that the population standard deviations are equal. Complete parts (a) and (b).Click the icon to view the ANSUR data.a. Use a 0.01 significance level to test the claim that the mean weight of the 1988 population is less than the mean weight of the 2012 population.What are the null and alternative hypotheses? Assume that population 1 consists of the 1988 weights and population 2 consists of the 2012 weights.OA. Ho: H₁ H₂H₁: H₁ H₂C. Ho: M₁ = ₂H₁ H₁ H₂B. Ho: H₁ H₂H₁ H₁ H₂D. Ho: ₁ = ₂H₁ H₁ H₂ ANSUR dataANSUR II 201266.292.388.274.485.169.089.8106.995.190.085.1116.478.290.754.0ANSUR I 198867.479.378.471.779.286.369.571.654.078.577.695.7PrintDoneX

Hypothesis is an assumption that is being tested.

Answered: a. What are the null and alternative…

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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Question

a. What are the null and alternative hypotheses?

a. What are the null and alternative hypotheses? Assume that population 1 consists of the 1988 weights and population 2 consists of the 2012 weights.

b. The test statistic, t, is

c. The P-value is

d. State the conclusion for the test.

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

Listed in the accompanying table are weights (kg) of randomly selected U.S. Army male personnel measured in 1988 (from "ANSUR I 1988") and different weights (kg) of randomly selected U.S.
Army male personnel measured in 2012 (from "ANSUR II 2012"). Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Complete parts (a) and (b).
Click the icon to view the ANSUR data.
a. Use a 0.01 significance level to test the claim that the mean weight of the 1988 population is less than the mean weight of the 2012 population.
What are the null and alternative hypotheses? Assume that population 1 consists of the 1988 weights and population 2 consists of the 2012 weights.
OA. Ho: H₁ H₂
H₁: H₁ H₂
C. Ho: M₁ = ₂
H₁ H₁ H₂
B. Ho: H₁ H₂
H₁ H₁ H₂
D. Ho: ₁ = ₂
H₁ H₁ H₂

ANSUR data
ANSUR II 2012
66.2
92.3
88.2
74.4
85.1
69.0
89.8
106.9
95.1
90.0
85.1
116.4
78.2
90.7
54.0
ANSUR I 1988
67.4
79.3
78.4
71.7
79.2
86.3
69.5
71.6
54.0
78.5
77.6
95.7
Print
Done
X

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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