(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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(a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested: H0: H1: Calculate: (ii) state the degrees of freedom for this test (iii)…
Example 19.4 Suppose that we are given the following data relating to marks obtained by students in Statistics in the three different sections of a B.Com class in a certain college. The maximum marks were 100. Section A 46 56 60 58 80 39 66 61 81 70 43 75 57 59 87 50 73 62 Section B 82 46 63 88 69 61 43 73 52 Section C 37 72 92 19 70 40 83 76 68 21 90 74 49 65 58 Test whether the differences among the three sample means are significant. 60 76 74 48 55 54 67 58 64 70 65 80 52 70
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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Question 3 2 a. Twenty Ozone levels around Los Angeles were obtained in a forested area as follows 160 176 160 180 167 170 162 196 185 163 161 (169 167 162 - 165 163 162 168 173 172 Use these data to estimate the mean, 15 % trimmed mean of ozone levels b. A true false test consists of 16 questions. Calculate the number of ways in which a student II. 3 right and 13 wrong can mark this test and get: I. 10 right and 6 wrong 160.160 180-185-10
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…
A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science students. Table 1 shows the data she collected. Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) Respondent number Knowledge score (Out of 50) Calcium intake (mg/day) 1 10 450 11 38 940 2 42 1050 12 25 733 3 38 900 13 48 985 4 15 525 14 28 763 5 22 710 15 22 583 6 32 854 16 45 850 7 40 800 17 18 798 8 14 493 18 24 754 9 26 730 19 30 805 10 32 894 20 43 1085 Does knowledge score predicts the calcium intake of a person?
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…
8:14 ◄ App Store 1190 1202 1185 1205 1172 1231 1231 1210 1185 1182 1187 Use this data for problems 1 thru 4. Print Layout Statistics hw 2 1172 1217 1197 1168 1191 1198 1207 1197 1208 1187 1208 1250 1177 1204 1198 1211 1217 1202 1218 1198 Group1 1199 1182 1210 1223 *** 1172 1190 1176 1220 1220 1235 1203 1240 1200 1. Calculate the mean, median and mode of this data. 2. Calculate the Coefficient of skewness of the data using Pearson's formula. Is the data skewed? 3. What is the range of the above data? 4. What is the standard deviation of the data. Assume it is a sample. 1198 1209 1208 384 485 191 491 465 1207 1204 1185 1201 1197 Group2 459 509 524 494 444 540 468 488 376 376 487 556 1205 1177 1221 1194 1183 AD Read Aloud 1197 1189 1183 1225 1179 1194 1221 1204 1198 1227 5. For the two datasets, calculate the descriptive statistics (Mean, Median, Mode, Std Deviation, Range, Q1, Median, Q3) 6. Create a boxplot for each of the datasets on the same graph. 7. Describe the data. ... Headings
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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

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