7.2 Two cholesterol-lowering medications (statins) and a placebo were given to each of 10volunteers with total cholesterol readings of 240 or higher. After 6 weeks, the followingtotal cholesterol values were recorded:Statin A: 220 190 180 185 210 170 178 200 177 189Statin B: 160 168 178 200 172 155 159 167 185 199Placebo: 240 220 246 244 198 238 277 255 190 188=2 Chapter 7Analysis of VarianceCreate a SAS data set by reading these data. As an interesting exercise, try readingthree lines like this:220 190 180 185 210 170 178 200 177 189160 168 178 200 172 155 159 167 185 199240 220 246 244 198 238 277 255 190 188That is, have the program create the treatment variable (call it TREAT) with values of'A', 'B', and 'Placebo'. Next run a oneway ANOVA followed by a Student-Newman-Keulsmultiple-comparison test.stand before (Use SAS) Do problem 7.2 on p.232 in Applied Statistics and the SAS ProgrammingLanguage. (Hint: For 7.2, use two DO loops, you may want to look at p.215 for anexample SAS code)Here is the data for problem 7.2:220 190 180 185 210 170 178 200 177 189160 168 178 200 172 155 159 167 185 199240 220 246 244 198 238 277 255 190 188

Answered: 7.2 Two cholesterol-lowering…

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

QOCH.C The number of cell phones per 100 residents in countries in Europe is given in Table #1 for the year 2010. The number of cell phones per 100 residents in countries of the Americas is given in Table #2 also for the year 2010 ("Population reference bureau," 2013). Table #1: Number of Cell Phones per 100 Residents in Europe 100 76 100 130 75 84 112 84 138 133 118 134 126 188 129 93 64 128 124 122 109 121 127 152 96 63 99 95 151 147 123 95 67 67 118 125 110 115 140 115 141 77 98 102 102 112 118 118 54 23 121 126 47 Table #2: Number of Cell Phones per 100 Residents in the Americas 158 117 106 159 53 50 78 66 88 92 42 3 150 72 86 113 50 58 70 109 37 32 85 101 75 69 55 115 95 73 86 157 100 119 81 113 87 105 96 Let μ1 = mean number of cell phones…
EXAMPLE 3.20 Suppose a study of speeding violations and drivers who use cell phones produced the following fictional data: Uses cell phone while driving Does not use cell phone while driving Total Table 3.2 Speeding violation in the last year 25 45 70 No speeding violation in the last year 280 405 685 Total Problem a. Find P(Driver is a cell phone user). b. Find P(Driver had no violation in the last year). c. Find P(Driver had no violation in the last year was a cell phone user). d. Find P(Driver is a cell phone user U driver had no violation in the last year). e. Find P(Driver is a cell phone user driver had a violation in the last year). 1. Find P(Driver had no violation last year driver was not a cell phone user) 305 450 *** 755 The total number of people in the sample is 755. The row totals are 305 and 450. The column totals are 70 and 685. Notice that 305 + 450 = 755 and 70 +685 755. Calculate the following probabilities using the table.
The exercise involving data in this and subsequent sections were designed to be solved using Excel. Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow. Repair Time(hours) Months SinceLast Service Type ofRepair Repairperson 2.9 2 electrical Dave Newton 3.0 6 mechanical Dave Newton 4.8 8 electrical Bob Jones 1.8 3 mechanical Dave Newton 2.9 2 electrical Dave Newton 4.9 7 electrical Bob Jones 4.2 9 mechanical Bob Jones 4.8 8 mechanical Bob Jones 4.4 4 electrical Bob Jones 4.5 6 electrical Dave Newton Ignore for now the months since the last maintenance service (x1 ) and the repairperson…
You will use the following data set to answer all parts of the project. This data set is the number of students enrolled at CCA from 2015 to 2019 by semester Fall 2015 6933 Summer 2015 2495 Spring 2015 7518 Fall 2016 7386 Summer 2016 2301 Spring 2016 8056 Fall 2016 8025 Summer 2016 2235 Spring 2016 8725 Fall 2018 7982 Summer 2018 2140 Spring 2018 8436 Fall 2019 5859 Summer 2019 2089 Spring 2019 9048 1) Find the mean, median, and mode for CCA Student enrollment data set. Then using the formulas for samples, find the variance and standard deviation. 2) Organize the data set on student enrollment by creating a frequency distribution and include the relative frequency. Group the data into seven logical equal intervals starting with 2,000 ≤ x < 10,000 and so on. x f relative f…
Note here that the Y column (minutes spent) is the first, and the X column (number of copiers serviced) is the second.
Choose all of the following true statements. {7,"Albert R.", 7/2, True} is not a set because it contains mixed data types. {7,"Albert R.", T/2, True} is a set. {7,"Albert R.", T/2, True} is the same as {True, "Albert R.", 7, 7/2} O 14/2 e {7," Albert R.", 7/2, True} O T/3 € {7,"Albert R.", 7/2, True} O 2/3 ¢ Z ACB= Vx. [x E A → x E B where A, B are sets. 6. {3} € {5,7,3} The empty set is a subset of every set.
I. Write P if it is a primary source and S if it is a secondary source. There is a price adjustment on our electric bill according to the latest news. * Students of BS-Biology gathered important features of their research from the data published in the newspapers. * A weatherman reports the development of a typhoon signal in the affected area. A student of BS Psychology is directly observing the behavior of patients with depression. *
Can you also take a screenshot or list all the graphical procedures when doing the attached question by using Minitab
We are given a table for the city of Detroit, Michigan USA for the period of 1961 to 1973 with the following information: a column with the number of full-time police per 100,000 citizens and a column with the number of homicides per 100,000 citizens. Year Police Homicides 1961 260.35 8.6 1962 269.8 8.9 1963 272.04 8.52 1964 272.96 8.89 1965 272.51 13.07 1966 261.34 14.57 1967 268.89 21.36 1968 295.99 28.03 1969 319.87 31.49 1970 341.43 37.39 1971 356.59 46.26 1972 376.69 47.24 1973 390.19 52.33 On the same x-axis representing the year, construct the time series of the number of police and the number of homicides on the same graph. Identify the variable that demonstrated the higher percentage increase relative to its initial value (police or homicides), and share your conclusions on the matter. Did the increase in police officers have an impact on the murder rate?…
THE FOLLOWING FIGURE IS USED TO ANSWER THE FOLLOWING QUESTION. The percentage of deaths due to pneumonia, Influenza, and COVID-19: Figure 1 NCHS Mortality Reporting System: Pneumonia, Influenza, and COVID-19 Mortality of Deaths Due to Poeumonia, influents, and COVID-19 * * 12 30 40 NCHS Mortality Reporting System: Pneumonia, Influenza, and COVID-19 Mortality Data through the week ending April 11, 2020, as of April 16, 2020 50 Tidenk Threshold Seasonal Baseline 2018 10 20 50 -% of Deaths due to Pneumoni, Influenx or COVID-19 30 MMWK Week was higher than expected for the majority of 2018 and 2019. W in week 10 of 2020 was roughly 3X greater than expected. O on average met the level of epidemic in week 20 of 2019 O is highest mid-year and lowest at the end of each year.
I need help with this problem
The manager of a trendy downtown café in Columbus, Ohio, collects weekly data on the number of customers it serves. The accompanying file contains the data. Week Customers 1 944 2 997 3 962 4 956 5 1045 6 1120 7 1069 8 1000 9 923 10 835 11 840 12 784 13 793 14 851 15 903 16 854 17 918 18 991 19 986 20 930 21 983 22 1008 23 962 24 888 25 895 26 978 27 1047 28 1050 29 1136 30 1225 31 1205 32 1195 33 1188 34 1177 35 1097 36 1074 37 1017 38 967 39 1007 40 949 41 930 42 1010 43 984 44 1091 45 1189 46 1254 47 1182 48 1235 49 1323 50 1305 51 1381 52 1365 1. Use the simple exponential smoothing technique with α = 0.2 to make a forecast for Week 53. Note: Do not round intermediate calculations. Round final answer to 2 decimal places. 2. Use the simple exponential smoothing technique with α = 0.4 to make a forecast for Week 53. Note: Do not round intermediate calculations. Round final…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS