### Understanding Hyperhidrosis and Treatment with BotoxHyperhidrosis is a stressful medical condition characterized by chronic excessive sweating. Botox was approved for the treatment of hyperhidrosis in adults in 2004. A clinical trial examined the effectiveness of Botox for excessive armpit sweating in teenagers aged 12 to 17 years. Participants received either a Botox injection or a placebo injection (a simple saline solution) and were examined four weeks later to see if their sweating had been reduced. Here are the study's findings:#### Study Results:| | Reduced | Not Reduced | Total ||------------|---------|-------------|-------|| **Botox** | 72 | 28 | 100 || **Placebo**| 52 | 148 | 200 || **Total** | 124 | 176 | 300 |#### Statistical AnalysisConstruct a 95% confidence interval for $ p_1 - p_2 $ where $ p_1 $ denotes the proportion of teenagers who experienced a reduction in sweating in the Botox group and $ p_2 $ denotes the proportion of teenagers who experienced a reduction in sweating in the placebo group. Round your answers to three decimal places and use four decimal places for any interim calculations.- **Confidence Interval:** $( \_\_\_\_ , \_\_\_\_ )$ We are 95% confident that there **is** a difference in the proportion of teenagers with hyperhidrosis who experienced a reduction in sweating.

The objective is to construct a 95% confidence interval for the difference between proportions i.e.,…

Answered: Hyperhidrosis is a stressful medical…

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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Welsch, Davis, Burke, and Williams (2002) conducted a study to evaluate the effectiveness of a carbohydrate-electrolyte drink on sports performance and endurance. Experienced athletes were given either a carbohydrate-electrolyte drink or a placebo while they were tested on a series of high-intensity exercises. One measure was how much time it took for the athletes to run to fatigue. Data similar to the results obtained in the study are shown in the following table: 8.3 Time to run to fatigue (in minutes) Group Mean SE (standard error) Placebo 21.7 2.2 Carbohydrate-electrolyte 28.6 2.7 Construct a bar graph that incorporates all of the information in the table. Looking at your graph, do you think that the carbohydrate-electrolyte drink helps performance? а. b.
evicard The use of both alcohol and tobacco by high school senibrs has declined in the last 30 years. Alcohol use is down from 68.2% to 43.1%, and the use of cigarettes by high school seniors has decreased from 36.7% to 20.4%. A random sample of 300 high school seniors from a large city indicated that 54 had smoked a cigarette during the 30 days prior to the survey. At the a = 0.05 level of significance is this lower than the national average?
Oishi & Shigehiro (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced 5 or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has an average score of µ = 40. The well-being scores for this sample are as follows: 23, 37, 41, 35, 43, 37, 33, 34, 36, 38, 31, 38. On the basis of this sample, is well-being for frequent movers significantly different from the well-being of the general population? Test with alpha a = .05. Is this a one- %3D tailed or two-tailed test?
What is the distinguishing feature of a case-control study such as this? An epidemiologist performed a case-control study examining whether tobacco use was associated with oral cancer. The investigator recruited a random sample of 75 adults with oral cancer and 72 adults without oral cancer. Participants were interviewed and asked about their history of tobacco use. O Exposure status was assessed, and then the participants were followed up over time to see who developed the outcome. O The exposure and outcome were measured at the same time, so temporality cannot be established. O Participants were selected based on disease status, and then exposure status was assessed from the past. O The investigator randomized participants into exposure groups and then followed them to see who developed the outcome.
Recall that small effects may be statistically significant if the samples are large. A study of small-business failures looked at 153 food-and-drink businesses. Of these, 107 were headed by men and 46 were headed by women. During a three-year period, 17 of the men's businesses and 7 of the women's businesses failed. (a) Find the proportions of failures for businesses headed by men (sample 1) and businesses headed by women (sample 2). These sample proportions are quite close to each other. p̂men = p̂women = Give the P-value for the z test of the hypothesis that the same proportion of women's and men's businesses fail. (Use the two-sided alternative.) The test is very far from being significant. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = (b) Now suppose that the same sample proportions came from a sample of 30 times as large. That is, 210 out of 1380 business headed by women and 510 out of 3210 businesses…
We are testing whether a particular program of low impact exercise can improve the cholesterol level of stroke patients. We enroll a group of stroke patients in our study, and after six weeks we measure their serum cholesterol level in mmol/L, resulting in the following data: 6.1 9.3 6.3 4 9 5.5 6.3 4.2 4.7 7.8 4.3 7.5 9.1 4.2 6.9 8.1 5.6 9.4 8.3 8.8 7.2 5.7 6.5 3.8 3.8 9 9.4 4.5 8 7 4.5 9.4 6.6 4.1 6.6 9.1 3.9 5.3 (a) Construct a 95% confidence interval. _______< u < ______ From an existing study, we know that the average cholesterol level of all stroke patients is 7 mmol/L. We want to know if the level in our patients is significantly different from this. (b) What is our Test statistic? ______ (c) What is the two-tailed p-value of this result? ______
A tire manufacturer has been producing tires with an average life expectancy of 28,000 miles. Now the company is advertising that its new tires' life expectancy has increased. In order to test the legitimacy of the advertising campaign, an independent testing agency tested a sample of 12 of their tires and has provided the following data. Longevity (In Thousands of Miles) 28.0 26.5 27.2 26.0 28.3 26.4 29.1 25.0 28.1 27.7 28.3 26.9 a. Determine the mean and the standard deviation. Formulate the correct hypotheses to determine whether b. or not the tire company is using legitimate advertising. At the .05 level of significance using the critical value approach, test to determine whether or not the tire company is using legitimate advertising. Assume the population is normally distributed. d. Repeat the test using the p-value approach. C.
To examine the effect of relaxing music on math test performance, a researcher wants to compare the average math test scores of participants who completed the test with relaxing music to performance of participants who completed the same math test without music. The partially computed data collected in the study are shown below: Math Test with Music: Math Test without Music: n1 = 16 n2 = 12 M1 = 82 M2 = 78 SS1 = 150 SS2 = 140 Based on these results, is there a significant effect of relaxing music on math test performance? Use a t-test for independent samples with p < .01, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations, round all numbers to two decimal places to avoid rounding errors. ANSWER H0: H1: Computed pooled variance sp2: Estimated standard SM1 - M2: Computed t: Critical t-value for…
In Exercises, we present descriptions of designed experiments. In each case, identify the a.experimental units.b.response variable.c.factor(s).d.levels of each factor.e.treatments. Dexamethasone and IQ. In the paper “Outcomes at School Age After Postnatal Dexamethasone Therapy for Lung Disease of Prematurity” (New England Journal of Medicine, Vol. 350, No. 13, pp. 1304–1313), T. Yeh et al. studied the outcomes at school age in children who had participated in a double-blind, placebo-controlled trial of early postnatal dexamethasonetherapy for the prevention of chronic lung disease of prematurity. One result reported in the study was that, at school age, the control group of 74 children had an average IQ score of 84.4, whereas the dexamethasone group of 72 children had an average IQ score of 78.
From the same cohort, all cases and 10 controls per case were chosen for analysis. The following results were observed. Serum Level of Vitamin D Incident Cases of MS Healthy Individuals Above 40 ng per ml 2 40 20-40 ng per ml 4 40 Below 20 ng per ml 4 20 What is the total cost of the vitamin D assays in this nested case control study? O $2,200 O $1,100 O $1650 $550
You’re interested in knowing if a walking plus strength training exercise program results in a significantly greater increase in maxVo2 as compared to a walking only or a strength training only exercise program. Participants are randomly selected and then randomly assigned to one of three groups— walking plus strength training, walking only, or strength training only. After 6-months of exercise the participants are assessed. Which statistical analyses was used?
A deficiency of the trace element selenium in the diet can negatively impact growth, immunity, muscle and neuromuscular function, and fertility. The introduction of selenium supplements to dairy cows is justified when pastures have low selenium levels. Authors of a research paper supplied the following data on milk selenium concentration (mg/L) for a sample of cows given a selenium supplement (the treatment group) and a control sample given no supplement, both initially and after a 9-day period. Initial Measurement Treatment Control 11.4 9.1 9.6 8.7 10.1 9.7 8.5 10.8 10.2 10.9 10.6 10.6 11.9 10.1 9.9 12.3 10.7 8.8 10.2 10.4 10.3 10.9 11.4 10.4 9.3 11.6 10.6 10.9 10.9 8.3 After 9 Days Treatment Control 138.3 9.2 104 8.9 96.4 8.9 89 10.1 88 9.6 103.8 8.6 147.3 10.4 97.1 12.4 172.6 9.2 146.3 9.5 99 8.4 122.3 8.8 103 12.5 117.8 9.1 121.5 93 (a) Use the given data for the treatment group to determine if…

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