MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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m/courses/26466/assignments/478873
meTesULLS are staLISLICany sTRMIcant aL u=U.0J, SU Uiere IS SuITICIenIL EvigeTKe LO CONCIUue
that the population of all patients who received the recommendation to change their diet is
not equally likely to lower their cholesterol as the population of patients who are prescribed
meds.
O The results are statistically insignificant at a = 0.05, so we can conclude that the success rate
for all patients who receive the recommendation to change their diet is equal to the success
rate for all patients who are prescribed meds.
O The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude
that the success rate for the 567 patients who received the recommendation to change their
diet is different from the success rate for the 703 patients who were prescribed meds.
O The results are statistically insignificant at a = 0.05, so there is insufficient evidence to
conclude that the population of all patients who received the recommendation to change their
diet is not equally likely to lower their cholesterol as the population of patients who are
prescribed meds.
g. Interpret the p-value in the context of the study.
O There is a 46.68% chance of a Type I error.
O There is a 46.68% chance that the difference in the success rate for all patients who receive
the change of diet recommendation and all patients who are prescribed meds is at least 2%.
O f the success rate for the sample of patients who receive the recommendation to change their
diet is the same as the success rate for the sample of patients who were prescribed meds and
if another 567 patients are given the recommendation to change their diet and 703 patients are
* prescribed meds then there would be a 46.68% chance of concluding that the difference in the
success rate for all patients who receive the recommendation to change their diet and all
patients who are prescribed meds is at least 2%.
O If the success rate for the population of patients who receive the recommendation to change
their diet is the same as the success rate for the population of patients who are prescribed
meds and if another 567 patients who are given the recommendation to change their diet and
703 patients who are prescribed meds are surveyed then there would be a 46.68% chance that
the percent of the surveyed diet changers who lowered their cholesterol would differ at least
2% compared to the percent of the surveyed med takers who lowered their cholesterol.
h. Interpret the level of significance in the context of the study.
Olf the success rate for the population of patients who receive the recommendation to change
their diet is the same as the success rate for the population of patients who are prescribed
meds and if another 567 patients who are given the recommendation to change their diet and
703 patients who are prescribed meds are surveyed then there would be a 5% chance that we
would end up falsely concuding that the proportion of the 567 patients who received the diet
change recommendation who lowered their cholesterol is different from the proportion of the
703 patients who were prescribed meds who lowered their cholesterol.
O There is a 5% chance that a patient won't be able to afford the meds, so they might as well
change their diet.
O f the success rate for the population of patients who receive the recommendation to change
their diet is the same as the success rate for the population of patients who are prescribed
meds and if another 567 patients who are given the recommendation to change their diet and
703 patients who are prescribed meds are surveyed then there would be a 5% chance that we
would end up falsely concuding that the success rate for the population of patients who
receive the recommendation to change their diet is different from the success rate for the
population of patients who are prescribed meds.
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Transcribed Image Text:m/courses/26466/assignments/478873 meTesULLS are staLISLICany sTRMIcant aL u=U.0J, SU Uiere IS SuITICIenIL EvigeTKe LO CONCIUue that the population of all patients who received the recommendation to change their diet is not equally likely to lower their cholesterol as the population of patients who are prescribed meds. O The results are statistically insignificant at a = 0.05, so we can conclude that the success rate for all patients who receive the recommendation to change their diet is equal to the success rate for all patients who are prescribed meds. O The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the success rate for the 567 patients who received the recommendation to change their diet is different from the success rate for the 703 patients who were prescribed meds. O The results are statistically insignificant at a = 0.05, so there is insufficient evidence to conclude that the population of all patients who received the recommendation to change their diet is not equally likely to lower their cholesterol as the population of patients who are prescribed meds. g. Interpret the p-value in the context of the study. O There is a 46.68% chance of a Type I error. O There is a 46.68% chance that the difference in the success rate for all patients who receive the change of diet recommendation and all patients who are prescribed meds is at least 2%. O f the success rate for the sample of patients who receive the recommendation to change their diet is the same as the success rate for the sample of patients who were prescribed meds and if another 567 patients are given the recommendation to change their diet and 703 patients are * prescribed meds then there would be a 46.68% chance of concluding that the difference in the success rate for all patients who receive the recommendation to change their diet and all patients who are prescribed meds is at least 2%. O If the success rate for the population of patients who receive the recommendation to change their diet is the same as the success rate for the population of patients who are prescribed meds and if another 567 patients who are given the recommendation to change their diet and 703 patients who are prescribed meds are surveyed then there would be a 46.68% chance that the percent of the surveyed diet changers who lowered their cholesterol would differ at least 2% compared to the percent of the surveyed med takers who lowered their cholesterol. h. Interpret the level of significance in the context of the study. Olf the success rate for the population of patients who receive the recommendation to change their diet is the same as the success rate for the population of patients who are prescribed meds and if another 567 patients who are given the recommendation to change their diet and 703 patients who are prescribed meds are surveyed then there would be a 5% chance that we would end up falsely concuding that the proportion of the 567 patients who received the diet change recommendation who lowered their cholesterol is different from the proportion of the 703 patients who were prescribed meds who lowered their cholesterol. O There is a 5% chance that a patient won't be able to afford the meds, so they might as well change their diet. O f the success rate for the population of patients who receive the recommendation to change their diet is the same as the success rate for the population of patients who are prescribed meds and if another 567 patients who are given the recommendation to change their diet and 703 patients who are prescribed meds are surveyed then there would be a 5% chance that we would end up falsely concuding that the success rate for the population of patients who receive the recommendation to change their diet is different from the success rate for the population of patients who are prescribed meds.
he medical researcher is comparing two treatments for lowering cholesterol: diet and meds. The
esearcher wants to see if the patients who receive the recommendation to change their diet have equal
uccess lowering cholesterol compared to a prescription of meds. A random sample of some patlents who
eceived the recommendation to change their diet and others who were prescribed meds was taken. The
esults of how many did or did not lower their cholesterol are shown below:
Data on Diet vs. Meds
for Welght Loss
Diet
Meds
Yes 346
443
No 221
260
What can be concluded at the a = 0.05 level of significance?
For this study, we should use Select an answer
a. The null and alternative hypotheses would be:
Ho: Select an answerv Select an answerv
Select an answerv (please enter a decimal)
H1: Select an answerv Select an answerv Select an answerv (Please enter a decimal)
b. The test statistic ?v
(please show your answer to 3 decimal places.)
C. The p-value =
(Please show your answer to 4 decimal places.)
d. The p-value is ?v a
e. Based on this, we should Select an answerv the null hypothesis.
f. Thus, the final conclusion is that ...
O The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude
that the population of all patients who received the recommendation to change their diet is
not equally likely to lower their cholesterol as the population of patients who are prescribed
meds.
O The results are statistically insignificant at
for all patients who receive the recommendation to change their diet is equal to the success
rate for all patients who are prescribed meds.
= 0.05, so we can conclude that the success rate
expand button
Transcribed Image Text:he medical researcher is comparing two treatments for lowering cholesterol: diet and meds. The esearcher wants to see if the patients who receive the recommendation to change their diet have equal uccess lowering cholesterol compared to a prescription of meds. A random sample of some patlents who eceived the recommendation to change their diet and others who were prescribed meds was taken. The esults of how many did or did not lower their cholesterol are shown below: Data on Diet vs. Meds for Welght Loss Diet Meds Yes 346 443 No 221 260 What can be concluded at the a = 0.05 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answerv Select an answerv Select an answerv (please enter a decimal) H1: Select an answerv Select an answerv Select an answerv (Please enter a decimal) b. The test statistic ?v (please show your answer to 3 decimal places.) C. The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ?v a e. Based on this, we should Select an answerv the null hypothesis. f. Thus, the final conclusion is that ... O The results are statistically significant at a = 0.05, so there is sufficient evidence to conclude that the population of all patients who received the recommendation to change their diet is not equally likely to lower their cholesterol as the population of patients who are prescribed meds. O The results are statistically insignificant at for all patients who receive the recommendation to change their diet is equal to the success rate for all patients who are prescribed meds. = 0.05, so we can conclude that the success rate
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