answer and discuss completely HIn physiology, an objective measure of aerobic fitness is how efficiently the body canabsorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted aresearch wherein subjects participated in a predetermined exercise run of 1.5 miles.Measurements of oxygen consumption as well as several other variables such as age,gender, runtime, resting and maximum pulse rates, and weight were recorded from 50randomly selected gym members. Dr. Castillejo is interested in determining whether anyof these other variables can help predict oxygen consumption. She believes that apossible link between these factors will help her determine how to improve the health ofher gym members.Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. Thevariables are described below.gender- either male or femaleruntime-time to run 1.5 miles (in min)age - age of the gym member in yearsweight - weight of the gym member (in kg)oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min)rest pulse - resting pulse rate (in bpm)maximum pulse - maximum pulse rate during the run (in bpm) 2. A low resting heart rate can mean a high degree of physical fitness, which is associated with reducedrates of cardiac events like heart attacks. By working out regularly in the gym, the heart becomes moreefficient, pumping the lowest amount of blood one needs when in a relaxed state. Normal resting heartrate for adults ranges from 60 to 100 beats per minute but a well-trained athlete can have a normal restingheart rate of 40 beats per minute. Dr. Castillejo wants to know if her gym members have attained thisaverage resting heart rate of athletes. Use the R commander output below to address Dr. Castillejo'sconcern. Write a brief report about the analysis by identifying the set of hypotheses to be tested, theappropriate test to use, and implications and recommendations of/from the conclusions.R COMMANDER OUTPUTR COMMANDER OUTPUTShapiro-Wilk normality testOne Sample t-testdata:restpulsedata: restpulseW = 0.97057, p-value = 0.24418t = 17.41684, df = 49, p-value < 0.00001R COMMANDER OUTPUTWilcoxon signed rank test with continuity correctiondata:restpulseV = 1275, p-value < 0.00001

Run of 1.5 by Dr. Castillejo age age of gym members in years gender male or female runtime…

Answered: In physiology, an objective measure of…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 26PPS

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totu In physiology, an objective measure of aerobic fitness is how efficiently the body can absorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted a research wherein subjects participated in a predetermined exercise run of 1.5 miles. Measurements of oxygen consumption as well as several other variables such as age, gender, runtime, resting and maximum pulse rates, and weight were recorded from 50 randomly selected gym members. Dr. Castillejo is interested in determining whether any of these other variables can help predict oxygen consumption. She believes that a possible link between these factors will help her determine how to improve the health of her gym members. Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. The variables are described below. gender- either male or female runtime-time to run 1.5 miles (in min) age - age of the gym member in years weight - weight of the gym member (in kg) oxygen…
When exposed to an infection, a person typically develops antibodies. The extent to which theantibodies respond can be measured by looking at a persons titer, which is a measure of the number of antibodies present. The higher the titer is, the more antibodies that are present. The data in Table represent the titers of 11 ill people and 11 healthy people exposed to the tularemia virus in Vermont. Is the level of titer in the ill group greater than the level of titer in the healthy group? Use the α = 0.10 level of significance.
A diabetic person is interested in determining how the amount of aerobic exercise impacts his blood sugar. When blood sugar reaches 170 mg/dl, he goes out for a run at a pace of 10 minutes per mile. On different days, he runs different distances and measures his blood sugar after completing his run. The preferred blood sugar level is in the range of 80 to120 mg/dl. Levels that are too low or too high are extremely dangerous. The data generated are given in the following table: Distance (miles),x Blood sugar(mg/dl gram),y 2 136 2 146 2.5 131 2.5 125 3 120 3 116 3.5 104 3.5 95 4 85 4 94 4.5 83 4.5 75 Based on the scenario above, analyse the data with appropriate statistical methods and describe your findings in details. Use alpha=0.05 [note: use hypothesis, test statistics confidence interval etc.] ]
Part B please
As the manager of a fashion brand, vou have recently run a large scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards. your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the…
You are asked to design a study to investigate the effectiveness of the Atkins diet (IV = diet, DV = weight loss. Describe a study that would utilize a dependent t-test as the test statistics.
An important issue is whether there are racial differences in hypertension among children. We define hypertension as being above the 95th percentile for either systolic blood pressure (SBP) or diastolic blood pressure (DBP) among children of the same age, height, and sex. Since some of the children were observed at multiple visits, a GEE model was run of hypertension on ethnic group. There were three ethnic groups considered: Caucasian, African American, and Hispanic. One issue is that BMI, which may vary among ethnic groups, is positively related to hypertension. Hence, a logistic regression model was run, as shown in Table 13.55. 13.89 What is the estimated OR for hypertension comparing Hispanic boys vs. Caucasian boys based on the results in Table 13.55? (Call this OR2 .) Provide a 95% CI for this estimate. 13.90 Suppose the average BMI of Hispanic boys is higher than that for Caucasian boys. Is BMI a confounder of the association between ethnic group and hypertension? If so, is it…
A major home improvement store conducted its biggest brand recognition campaign in the company’s history. A series of new television advertisements featuring well-known entertainers and sports figures were launched. A key metric for the success of television advertisements is the proportion of viewers who “like the ads a lot”. A study of 1,189 adults who viewed the ads reported that 230 indicated that they “like the ads a lot.” The percentage of a typical television advertisement receiving the “like the ads a lot” score is believed to be 22%. Company officials wanted to know if there is evidence that the series of television advertisements are less successful than the typical ad (i.e. if there is evidence that the population proportion of “like the ads a lot” for the company’s ads is less than 0.22) at a 0.01 level of significance. Test hypothesis ?
As the manager of a fashion brand, you have recently run a large-scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the data…
The proportion of Americans who have frequent migraines is 15.2% according to the CDC. An acupuncturist claims that her treatment can reduce this figure significantly. A random sample of 371 Americans is administered the acupuncturists treatment and 41 report experiencing migraines.
As the manager of a fashion brand, you have recently run a large-scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards. your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the…
A physician recorded the number of seizures that each of 20 patients with severe epilepsy had during an eight-week period. -What are the observational units? -What is probably the population being studied?

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