In another double-blind study, five patients with borderline high blood pressure were given four different treatments (one of whichwas a placebo) for three months at a time, in random order. Their blood pressure was recorded during each treatment phase, and isshown below. A two-way ANOVA showed a significant difference between at least one pair of the treatments.Patient Treatment A Treatment B Treatment C Treatment D111211612411410410911810531181191301184109109117115122123130126a) What confidence level should you use to construct confidence intervals for the differences between the means of these groups?b) Find the appropriate t. How many degrees of freedom did you use?Round your answer to 3 decimal places.t*= i;df = ic) Construct the six confidence intervals for the differences in the means of each pair of groups. (Hint: MSE = 5.04)Round your answers to 2 decimal places.HA - HB =( iHA - Hc =( iiHA - HD =( iHB - Hc =( iiHB - HD =( iHC - HD =( id) Which groups differ significantly? Can you tell which treatment was the placebo?v differ significantly.Treatmentwas the placebo.2.

Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

In another double-blind study, five patients with borderline high blood pressure were given four different treatments (one of which was a placebo) for three months at a time, in random order. Their blood pressure was recorded during each treatment phase, and is shown below. A two-way ANOVA showed a significant difference between at least one pair of the treatments. Patient Treatment A Treatment B Treatment C Treatment D 112 116 124 114 104 109 118 105 3 118 119 130 118 109 109 117 115 1. 2.

In another double-blind study, five patients with borderline high blood pressure were given four different treatments (one of which was a placebo) for three months at a time, in random order. Their blood pressure was recorded during each treatment phase, and is shown below. A two-way ANOVA showed a significant difference between at least one pair of the treatments. Patient Treatment A Treatment B Treatment C Treatment D 112 116 124 114 104 109 118 105 3 118 119 130 118 109 109 117 115 1. 2.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

According to a study on the effects of smoking by pregnant women on rates of asthma in their children, for expectant mothers who smoke 20 cigarettes per day, 22.2% of their children developed asthma by the age of two in the US. A biology professor at a university would like to test if the percentage is different in another country. She randomly selects 319 women who only deliver one child and smoke 20 cigarettes per day during pregnancy in that country and finds that 82 of the children developed asthma by the age of two. In this hypothesis test, Do the hypothesis test. Use a level of significance of a = 0.05; Use the unrounded values in Excel to find the answers for #3 and #4 1. This is an example of 2. Find the standard error. 3. Find the z value. Question 10 V a hypothesis test.
A 2012 article in the New England Journal reports the results of a randomized trial to assess the association between regular usage of asthma medication prior to turning 18 years old, and height at age 18 years. As per the authors, "From December 1993 through September 1995, we randomly assigned 1041 children between the ages of 5 and 13 years with mild-to-moderate asthma to one of three study groups in the double-blind, placebo-controlled CAMP trial." (reference: Kelly H, et al. Effect of Inhaled Glucocorticoids in Childhood on Adult Height. New England of Medicine (2012). 367 (10)) The random assignment groups were Budesonide, Nedocromil and placebo. The following graphic shows the distribution of female and male participant heights at different times in the study follow-up, presented for the Budesonide and placebo samples. A Unadjusted Height Distribution 200 I Budesonide I Placebo 190 180- 170- 160- 150- 140- 130- 120- 110- 100- 0- Trial entry 2 Yr Trial end Adult Trial entry 2 Yr…
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
When neither the subject nor those having contact with the subject know the treatment assignment, the study is called unbiased. double-blind. blind. statistically significant. randomized.
How many subjects in the "patch only" group would you expect not to quit
A large clinical trial of the effect of diet on breast cancer assigned women at random to either a normal diet or a low-fat diet. To check that the random assignment did produce comparable groups, we can compare the two groups at the start of the study. Asked if there is a family history of breast cancer: 1276 of the 5964 women in the low-fat group and 1507 of the 7726 women in the control group said "Yes." If the random assignment worked well, there should not be a significant difference in the proportions with a family history of breast cancer. How significant is the observed difference? State: Is there evidence of a difference in the proportion of women with a family history of breast cancer between the treatment and control groups? Plan: Let pi be the proportion for the treatment group, and Pz the proportion for the control group. State the hypotheses for your test. Ha:Pi + P2 Solve: Give the value of the test statistic. Use the calculator. Select an answer ♥ Ho:pi = p2 What is the…
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
A group of 600 patients who suffer from seasonal allergies is asked to participate in a study to determine the effectiveness of a new medication. The patients are divided randomly into two groups, one was given the actual medication and one received a placebo pill. After 2 months of treatment, 64% of the patients who took the medication had fewer allergy symptoms, while only 36% of those who took the placebo had fewer allergy symptoms. a. What is the treatment variable? b. What is the response (or outcome) variable? c. Was this an observational study or a controlled experiment? Explain how you know. d. Assuming the rest of the study was well-designed, use your answers to discuss whether it would be reasonable to conclude that taking the new medication caused fewer allergy symptoms.
A study prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in a cohort of 600 adults participating in the Sleep Heart Health Study. Study participants were classified into four groups depending on the extent of their sleep-disordered breathing (none, mild, moderate, or severe). The counts of deaths over the course of the study are reported for each group in the following two-way table. Mild Severe 100 Death No Death Total None 40 100 140 40 100 140 Moderate 20 100 120 Total 200 400 600 100 200 We want to know whether the study findings give evidence of a significant difference of the number of deaths between the different groups. Set up the alternative hypothesis (H, : The distribution of the categorical variable is not as given by the null hypothesis (lack of fit) At least ones of the means is different from the others O The two categorical variables are dependent The distribution of the categorical variable is not…
A study prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in a cohort of 600 adults participating in the Sleep Heart Health Study. Study participants were classified into four groups depending on the extent of their sleep-disordered breathing (none, mild, moderate, or severe). The counts of deaths over the course of the study are reported for each group in the following two-way table. Death No Death Total None 40 100 140 Mild 40 100 140 Moderate 20 100 120 Severe 100 100 200 Total 200 400 600 We want to know whether the study findings give evidence of a significant difference of the number of deaths between the different groups. The observed test statistic is 3.610 42.857 5.476 8.075
After having one group of athletes run a lap, and a different group throw the shotput, the university track coach took the pulse rates of both groups. Is this an observational study, or an experiment?
State the hypotheses for each of the three separate tests included in the two-factor ANOVA.