Doctors are skeptical, because they feel this new drug might help kick start the mentality about eating, but are also worried about the idea that no change to dietary or exercise routine is dangerous. The doctors also want to know about the subjects in the study. Pre-human studies with this drug found minuscule change in rodent weight... proportional speaking the doctors believe Saxenda has a real weight loss potential of 7.5 pounds at the 5% significance level. What's the probability of making a Type Il error? Does this hurt the patient more or Saxenda (don't elaborate too much here)?

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Answer part D, answers to ABC will be uploaded.

Step 5
8.776667-10.15
-1.37333
3.KT2983
=137333
0.671934
=-2. 04385
a) The claim is the alternative hypothesis.
b) For the significance,
the degree of freedom is 15-1=14
the t-value is 1-a,n-1 = l0.95,14 = 1. 76131
The p-value for the test statistics is 0.0301.
The p-value says that the data is significant as it is between 0 to 0.04.
We reject the null hypothesis as the test statistics value is less than the critical
value.
Step 6
c)
The type 1 error means that rejecting the null hypothesis when it is true. The
probability of a type l error is the level of significance of the test of hypothesis,
and it is denoted by a.
Here, the null hypothesis is u = 10. 15 and if it is true then the hurt will be to the
Saxenda.
Transcribed Image Text:Step 5 8.776667-10.15 -1.37333 3.KT2983 =137333 0.671934 =-2. 04385 a) The claim is the alternative hypothesis. b) For the significance, the degree of freedom is 15-1=14 the t-value is 1-a,n-1 = l0.95,14 = 1. 76131 The p-value for the test statistics is 0.0301. The p-value says that the data is significant as it is between 0 to 0.04. We reject the null hypothesis as the test statistics value is less than the critical value. Step 6 c) The type 1 error means that rejecting the null hypothesis when it is true. The probability of a type l error is the level of significance of the test of hypothesis, and it is denoted by a. Here, the null hypothesis is u = 10. 15 and if it is true then the hurt will be to the Saxenda.
9) More and more weight loss "miracle" drugs have been showing up on the market lately and the FDA has a
challenge to determine what drugs are safe in a variety of different categories. The drugs all target parts of the
brain involved with appetite and satiety, and interfere with hunger signals; so they can reduce the chances that
you'll overeat. All of these drug companies are making huge pushes in the pharmaceutical world for patients to
ask for these prescriptions from their doctors. The makers of a new drug, Saxenda wish to make an injectable
treatment specifically for people with a Body Mass Index (BMI) of at least 30. The makers of Saxenda are making
the claim patients will lose an average of at least 10.15 pounds within one month even with no change in their
dietary or exercise routine. The following data shows the weight loss (in pounds) from volunteers who
participated in some initial medical studies:
4.75 9.98 11.12 10.13 8.7 9.74 12.4 6.4 8.62 7.15 4.8 9.0 12.1 5.2 11.56
a) Create the claims Saxenda is making?
b) Is this data significant? Justify your response!
c) What would a Type I error mean in context? Who would be hurt from this mistake?
d) Doctors are skeptical, because they feel this new drug might help kick start the mentality about eating, but are
also worried about the idea that no change to dietary or exercise routine is dangerous. The doctors also want to
know about the subjects in the study. Pre-human studies with this drug found minuscule change in rodent
weight... proportional speaking the doctors believe Saxenda has a real weight loss potential of 7.5 pounds at the
5% significance level. What's the probability of making a Type Il error? Does this hurt the patient more or
Saxenda (don't elaborate too much here)?
Transcribed Image Text:9) More and more weight loss "miracle" drugs have been showing up on the market lately and the FDA has a challenge to determine what drugs are safe in a variety of different categories. The drugs all target parts of the brain involved with appetite and satiety, and interfere with hunger signals; so they can reduce the chances that you'll overeat. All of these drug companies are making huge pushes in the pharmaceutical world for patients to ask for these prescriptions from their doctors. The makers of a new drug, Saxenda wish to make an injectable treatment specifically for people with a Body Mass Index (BMI) of at least 30. The makers of Saxenda are making the claim patients will lose an average of at least 10.15 pounds within one month even with no change in their dietary or exercise routine. The following data shows the weight loss (in pounds) from volunteers who participated in some initial medical studies: 4.75 9.98 11.12 10.13 8.7 9.74 12.4 6.4 8.62 7.15 4.8 9.0 12.1 5.2 11.56 a) Create the claims Saxenda is making? b) Is this data significant? Justify your response! c) What would a Type I error mean in context? Who would be hurt from this mistake? d) Doctors are skeptical, because they feel this new drug might help kick start the mentality about eating, but are also worried about the idea that no change to dietary or exercise routine is dangerous. The doctors also want to know about the subjects in the study. Pre-human studies with this drug found minuscule change in rodent weight... proportional speaking the doctors believe Saxenda has a real weight loss potential of 7.5 pounds at the 5% significance level. What's the probability of making a Type Il error? Does this hurt the patient more or Saxenda (don't elaborate too much here)?
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