(IN SAS) Do problem 2.4 on p. 65 in Applied Statistics and the SAS ProgrammingLanguage.Here is the data for problem 2.4:001MW08013008010002FW08811007205003MB05018810002004FB 10806801005MW06812208204006FB101 07404007FW07810406603008MW04811207006009FB07719011009010FB06616410610 option2.4 Using the data set from problem 2.2, generate frequencies and bar charts for GENDER.Omit the cumulative statistics and percentages for your table.SAS data cot called PROB2 5. containing variables

Step 1: Create the dataset data problem_24; input ID $ Gender $ Race $ Age Height Weight;…

Answered: (IN SAS) Do problem 2.4 on p. 65 in…

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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There is a dataset named xi with two variables i, and x. For the below data step, what's the 2nd BY group? data x2; set xi; by i; run; 1 2 3 4 5 6 7 obs 1-2 obs 3-4 obs 6-7 O obs 5-7 i 60808 9 9 10 10 11 X 10 SFF22 10 11 11 12 12 12
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Consider again the Framingham Heart Study from problem 8, but suppose fasting glucose levels are simply recorded as numbers and NOT categorized. The same risk factors are considered: Risk Factors -Sex -Age -BMI (normal weight, overweight, obese) -Genetics Use Table 7-50 on page 161 of the textbook to select the correct test from the gray box above. What test would be used to assess whether the different sexes (male and females) have the same mean Glucose Level? What test would be used to assess whether the different categories of BMI have the same mean Glucose Level? What test would be used to assess whether Age is related to Glucose Level? Test Choices ANOVA Chi-Square GOF Chi-Square test for independence Test for equality of means Test for equality of proportions Other
2b. It is thought that 20% of Annual Tax returns to the Australian Tax Office (ATO) contain errors of one kind or another. An auditor in the ATO investigating the number of returns with errors in a particular industry takes a sample of 25 returns and classifies each return as being “in error” or “not in error”. i. If the variable X is used to represent the number of returns in the sample that are in error, and assuming this industry is no different to other industries in terms of the error rate, then state:• the values that X may take;• the distribution of this variable; and • the parameter/s of this distribution. ii. Determine the probability that 6 or less returns in this sample are in error. The auditor found that there were 13 tax returns with errors in this sample. iii. Determine the probability of finding 13 or more returns with errors if indeed the error rate was 20%. iv. Based upon your answer for part iii., what conclusion might the auditor make about this particular industry…
The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 13.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 11.50 9.25 11.00 12.00 14.00 17.00 18.00 Ultrasound 4.50 9.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 12.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = x-ray ultrasound. Round your answers to three decimal places.) 1% - Interpret the interval in context. O We are 95% confident that the true mean body fat percentage…
Refer to the following data set. Data for Eight Phones Brand AT&T AT&T Uniden Panasonic 4773B Uniden Model Panasonic 6592T Vtech CL84100 Vtech TL92271 D2997 D1788 DS6521 CS6649 Price ($) 70 70 100 60 35 70 70 60 Overall Score 73 (b) What is the average talk time for the phones? hours 70 78 72 70 73 72 72 Voice Quality Excellent Very Good Very Good Very Good Very Good Very Good Excellent Very Good Talk Time (Hours) (c) What percentage of the phones have a voice quality of very good? % 7 7 13 13 10 7 7 (a) What is the average price for the phones? (Round your answer to the nearest cent.) $ 7
3. The dataset butterfat in the package faraway contains the average butterfat content (percent- ages) of milk for random samples of twenty cows, ten two-year old and ten mature (greater than four years old), from each of five breeds. Therefore, for each combination of breed and age categories, there are ten observations. The data are from Canadian records of pure-bred dairy cattle. Questions of interest are (i) if butterfat content differs with age and/or breed, and (ii) if any potential breed effect is the same for the two age groups. (a) Make appropriate plots of the data and comment on them. (b) Determine an appropriate model, and write it down mathematically, to answer the questions of interest. What are your conclusions? (c) Is the best breed in terms of butterfat content clearly superior to the second best breed? Justify.
Please help me on questions 12-16. Thank you!
Suppose you have traveled back in time to March 2020 and we are interested in finding out how many people currently have COVID-19. Use your understanding of the statistics to explain what we would need to do to find out how many people in America currently have Covid-19 (i.e. explain how statistical concepts would be able to help with this task.)
A report by the New York Times in 2022 indicated that, on average, a married woman in the United States goes out with her female friends an average of 5.7 times peryear. A student at Century College conducts a study of her own by randomly surveying married women in White Bear Lake and obtained this data for the number of times in a year: 3 1 1 3 7 2 9 4 6 4 3 8 0 5 6 4 0 1 3 0 Use your calculator to determine the mean and standard deviation for this sample. Then, at the level of significance, Test the claim that married women in White Bear Lake, on average, go out with their female friends less than the overall national average. Be complete, show every step including hypotheses, a labelled graph, and clearly state the final result. Do not use the P-value method. Explain what the final result means in the context of this problem.
I need help with only question 14. I need help with parts a,b,c,d, and e.
In a recent study on American sleep habits, 1300 adults were asked questions about their sleep cycles. The study found that 39 % say they get sleepy on the job and their work suffers at least a few days each month. An additional 21 % said the problems occur a few days each week and 9 % say sleepiness on the job is a daily occurrence. For the remaining respondents, sleepiness was not a problem at all. Summarize the given information by filling out the frequency and relative frequency distribution table. Sleepy At Work? Frequency Relative Frequency Not at all A few days each month A few days each week Daily

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