11What is the correct conclusion?A.Do not reject H0. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.B.Do not reject H0. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types.C.Reject H0. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.D.Reject H0. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types. The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a = 0.10, can you conclude that at least one mean vacuum cleaner weight is different from the others?: Click the icon to view the vacuum cleaner weight data......Let HBU, HBLU and TC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test?O A. Ho HBU = PBLU = PTCHa: At least one of the means is different.Weight of vacuum cleaners by typeO B. Ho HBU # PBLU HTCHa PBU = PBLU PTCO C. Ho HBU = HBLU = HTCBagged upright 23BaglessuprightTop canisterHa HBu HBLU HTC2622202425222325232320O D. Ho At least one of the means is different.Ha HBu PBLU =PTC242122272323What is the test statistic?F =(Round to two decimal places as needed.)PrintDoneWhat is the P-value?P-value =(Round to three decimal places as needed.)%3DWhat is the correct conclusion?O A. Do not reject Ho. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.O B. Do not reject H. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types.

There are 3 independent samples which are Bagged upright, Bagless upright and Top canister. We have…

Answered: The table available below shows 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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Related questions

Question

What is the correct conclusion?

Do not reject H0. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.

Do not reject H0. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types.

Reject H0. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.

Reject H0. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types.

The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a = 0.10, can you conclude that at least one mean vacuum cleaner weight is different from the others?
: Click the icon to view the vacuum cleaner weight data.
.....
Let HBU, HBLU and TC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test?
O A. Ho HBU = PBLU = PTC
Ha: At least one of the means is different.
Weight of vacuum cleaners by type
O B. Ho HBU # PBLU HTC
Ha PBU = PBLU PTC
O C. Ho HBU = HBLU = HTC
Bagged upright 23
Bagless
upright
Top canister
Ha HBu HBLU HTC
26
22
20
24
25
22
23
25
23
23
20
O D. Ho At least one of the means is different.
Ha HBu PBLU =PTC
24
21
22
27
23
23
What is the test statistic?
F =
(Round to two decimal places as needed.)
Print
Done
What is the P-value?
P-value =
(Round to three decimal places as needed.)
%3D
What is the correct conclusion?
O A. Do not reject Ho. There is not enough evidence to conclude that mean weights vary across the vacuum cleaner types.
O B. Do not reject H. There is enough evidence to conclude that mean weights vary across the vacuum cleaner types.

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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