Click here to view the data table of weights Click here to view the researchers resuts. Click here to viewarandomization result. Cick here to viewa bootstranping.result Use the reported weights as u, and the measured weights as The hypotheses are Ho He =0 and H, <0. Listed in the accompanying table are measured and reported weights (b) of random female subjects. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Aresearcher used a 0.05 significance level to test the claim that for females, the measured weights tend to be higher than the reported weights. Complete parts (a) and (b) using the accompanying results. a. Use the given randomization result. Compare the results to those obtained using the researcher's P-value. . V rejected, and there It appears that by chance, i easy to get a difference like the one obtained, because the estimated P-valueOis than the significance level. Therefore, the null hypothesis reported weights. The conclusion from the randomization result is V sufficient evidence to support the claim that the measured weights tend to be higher than V the conclusion obtained using the researcher's P-value. (Round to three decimal places as needed.) b. Use the given bootstrapping result. Compare the results to those obtained using the researcher's confidence interval. V there V sufficient evidence to support the claim that the measured weights tend to be higher than the reported weights. The conclusion from the bootstrapping result is V the conclusion obtained using the researcher's Because the bootstrapping confidence interval contains confidence interval. - X Randomization Veights Researcher's results The difference between the two sample means is 0.04. Results vary but this is typical: Among 1000 resamplings, differences less than or equal to -0.04 occurred 497 times and differences greater than or equal to 0.04 occurred 2 times. Measured 193.6 206.8 142.0 139.3 187.4 1512 150.8 166.7 127.6 14220 Reported 190 215 150 142 187 153 154 160 129 128 Researcher's Results Test statistic - X t0.02 P.value Bootstrapping 0.493 90% CI -3.9< -2 <4.0 Print Done Results vary but this is typical: 90% CI: - 3.89 < -P2<3.99. Print Done Print Done

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
Click here to view the data table of weights.
Click here to view the researcher's results.
Click here to view a randomization result.
Click here to view a bootstrapping result.
Use the reported weights as u, and the measured weights as l2.
The hypotheses are Ho:Ha = 0 and H, Ha < 0.
Listed in the accompanying table are measured and reported weights (Ib) of random female subjects. Use the listed paired sample data, and assume that the
samples are simple random samples and that the differences have a distribution that is approximately normal. A researcher used a 0.05 significance level to test
the claim that for females, the measured weights tend to be higher than the reported weights. Complete parts (a) and (b) using the accompanying results.
a. Use the given randomization result. Compare the results to those obtained using the researcher's P-value.
It appears that by chance, it
easy to get a difference like the one obtained, because the estimated P-value
is
than the significance level. Therefore, the null hypothesis
rejected, and there
sufficient evidence to support the claim that the measured weights tend to be higher than the
reported weights. The conclusion from the randomization result is
V the conclusion obtained using the researcher's P-value
(Round to three decimal places as needed.)
b. Use the given bootstrapping result. Compare the results to those obtained using the researcher's confidence interval.
V there
Because the bootstrapping confidence interval contains
confidence interval.
sufficient evidence to support the claim that the measured weights tend to be higher than the reported weights. The conclusion from the bootstrapping result is
the conclusion obtained using the researcher's 90%
Randomization
Weights
- X
Researcher's results
The difference between the two sample means is 0.04. Results vary but this is
typical: Among 1000 resamplings, differences less than or equal to - 0.04 occurred
497 times and differences greater than or equal to 0.04 occurred 2 times.
Measured
193.6 206.8 142.0 139.3 187.4 151.2 150.8 166.7 127.6 142.2 9
Reported
190 215 150 142 187 153 154 160 129 128
Researcher's Results
- X
Test statistic
t= 0.02
P-value
90% CI
Bootstrapping
0.493
- 3.9 < 41 - H2 < 4.0
Print
Done
Results vary but this is typical: 90% Cl: - 3.89 < µ1 - H2< 3.99.
Print
Done
Print
Done
Transcribed Image Text:Click here to view the data table of weights. Click here to view the researcher's results. Click here to view a randomization result. Click here to view a bootstrapping result. Use the reported weights as u, and the measured weights as l2. The hypotheses are Ho:Ha = 0 and H, Ha < 0. Listed in the accompanying table are measured and reported weights (Ib) of random female subjects. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. A researcher used a 0.05 significance level to test the claim that for females, the measured weights tend to be higher than the reported weights. Complete parts (a) and (b) using the accompanying results. a. Use the given randomization result. Compare the results to those obtained using the researcher's P-value. It appears that by chance, it easy to get a difference like the one obtained, because the estimated P-value is than the significance level. Therefore, the null hypothesis rejected, and there sufficient evidence to support the claim that the measured weights tend to be higher than the reported weights. The conclusion from the randomization result is V the conclusion obtained using the researcher's P-value (Round to three decimal places as needed.) b. Use the given bootstrapping result. Compare the results to those obtained using the researcher's confidence interval. V there Because the bootstrapping confidence interval contains confidence interval. sufficient evidence to support the claim that the measured weights tend to be higher than the reported weights. The conclusion from the bootstrapping result is the conclusion obtained using the researcher's 90% Randomization Weights - X Researcher's results The difference between the two sample means is 0.04. Results vary but this is typical: Among 1000 resamplings, differences less than or equal to - 0.04 occurred 497 times and differences greater than or equal to 0.04 occurred 2 times. Measured 193.6 206.8 142.0 139.3 187.4 151.2 150.8 166.7 127.6 142.2 9 Reported 190 215 150 142 187 153 154 160 129 128 Researcher's Results - X Test statistic t= 0.02 P-value 90% CI Bootstrapping 0.493 - 3.9 < 41 - H2 < 4.0 Print Done Results vary but this is typical: 90% Cl: - 3.89 < µ1 - H2< 3.99. Print Done Print Done
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