Let's say I am studying the difference in blood glucose levels in two treatments, treatment A and treatment B. I elect to use an unpooled t-test and my results say that I reject HO. What is my conclusion about the blood glucose levels in the different treatments? O The blood glucose levels in Treatment A and Treatment B are not the same O We need to calculate a p value before we can tell O Treatment A has higher blood glucose levels than Treatment B O Treatment A and Treatment B have similar blood glucose levels

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Ankylosing spondylitis is an inflammatory disease which affects the spine and sacroiliac joint and can lead to the fusing of vertebrae in the spine. Exercise is important in helping manage pain, therefore a pharmaceutical company wanted to test if their new biologic would increase the time a patient could exercise before experiencing discomfort. The following table gives the time (in minutes) seven patients were able to exercise before reporting pain, both at baseline and then again after six months of taking the biologic.Exercise Time (in minutes)Subject 1 Baseline 30 Post-treatment 40Subject 245 40Subject 350 60Subject 435 37Subject 555 60Subject 620 25Subject 775 75Assume the population(s) of all exercise times is (are) normally distributed. Use JMP to test whether the evidence suggests that the time a person with ankylosing spondylitis can exercise before experiencing discomfort increases after taking this new biologic. Validate the test statistic from JMP by computing it manually.…

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I need help with all parts of this question 18

first picture is the background information

You wish to test whether a particular drug manages to bring body temperature down. So, you conduct a pilot study where 47 people receive the drug, and 45 people receive a placebo.  The body temperatures of patients from the treatment group are group 1 (variable X1);  those from the placebo group are group 2 (variable X2). What is the research hypothesis? mu1 > mu2 mu1  ≠  mu2 mu1 < mu2 mu1 = mu2

Do test scores at pre-treatment differ from test scores at post-treatment? Note, this analysis should be conducted ignoring the treatment group they are in. Do male and female subjects differ on their pre-test score performance? Knowing the number of hours the student studied for the exam, can you predict their post-test scores? Is there a significant relationship between subject’s IQ and pre-test scores? Do the three treatments differ significantly from one another at pre-test? Do student IQ scores differ significantly from the population (μ = 100 & σ = 15)? Create your own research question based on the data. (All analyses are to be tested at α =.05, two tailed)