KOf the 99 participants in a drug trial who were given a new experimental treatment for arthritis, 59 showed improvementthe 89 participants given a placebo, 51 showed improvement. Construct a two-way table for these data, and then use asignificance level to test the claim that improvement is independent of whether the participant was given the drug or aRUFENYVELE KERTTUAMBULAXCritical values of chi-squareCritical Values of x²: RejectHo Only If x² > Critical ValueTable size(rows x columns)2 x 22 x 3 or 3 x 23x32 x 4 or 4 × 22 x 5 or 5 x 2ATRANPrintSignificance level0.016.6359.21013.27711.34513.2770.053.8415.9919.4887.8159.488Done- Of the 99 participants in a drug trial who were given a new experimental treatment for arthritis, 59 showed improvement. Ofthe 89 participants given a placebo, 51 showed improvement. Construct a two-way table for these data, and then use a 0.05significance level to test the claim that improvement is independent of whether the participant was given the drug or aplacebo.Click the icon to view the critical values of x² table.Complete the following two-way table.DrugPlaceboimprovement no improvement

From the given information we have to complete the given two way table From the given information we make following two-way table Improvement no improvement Total Drug 59 40 99 Placebo 51 38 89 Total 110 78 188

Answered: Of the 99 participants in a drug trial…

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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he level of cretaine phosphokinase (CPK) in blood samples measures the amount of muscle damage for athletes. At Jock State University, the level of CPK was determined for each of 25 football players and 15 soccer players before and after practice. The two groups of athletes are trained independently. The data summary is as follows : For football players: Data for Football players n=25 Before Practice After Practice Difference (Before-After) Mean 254.73 225.6 29.13 Standard deviation 115.5 132.6 21.00 For soccer players: Data for Soccer players n=15 Before Practice After Practice Difference (Before-After) Mean 177.1 173.8 3.3 Standard deviation 60.7 64.4 6.88 Assume that all the data above are normal Test the claim that the mean CPK level has DECREASED for soccer players AFTER exercise (compared to the mean BEFORE exercise), using α=0.10. AFTER practice, do football players have a DIFFERENT mean CPK values compared to soccer players? Test this claim by…
Which set of variables has correlation and causation? A. distance traveled and money spent on gas B. distance traveled and money spent on snacks C. distance traveled and number of drinks consumed D. distance traveled and time spent listening to music
Rhino viruses typically cause common colds. In a test of the effectiveness of echinacea, 42 of the 47 subjects treated with echinacea developed rhinovirus infections. In a placebo group, 89 of the 102 subjects developed rhinovirus infections. Use a 0.01 significance level to test the claim that echinacea has an effect on rhinovirus infections. Complete parts (a) through (c) below.
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 66 20 75 32 44 31 44 36 19 23 65 29 61 22 58 25 71 27 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
A colleague of yours is faced with testing a relationship at the .05 level or significance or the .01 level of significance. What is your advice to your colleague? Why?
The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in eleven metropolitan areas across the upper Midwest region (OhioGasPrices.com website, March 18, 2012). Click on the datafile logo to reference the data. DATA file Shell BP Metropolitan Area Marathon Akron, Ohio Cincinnati, Ohio Cleveland, Ohio Columbus, Ohio Ft. Wayne, Indiana Indianapolis, Indiana Lansing, Michigan Lexington, Kentucky Louisville, Kentucky Muncie, Indiana Toledo, Ohio 3.77 3.72 3.87 3.76 3.78 3.87 3.89 3.79 3.83 3.83 3.85 3.77 3.83 3.85 3.93 3.84 3.84 4.04 3.87 3.87 3.99 3.79 3.78 3.81 3.69 3.78 3.84 3.84 3.83 3.79 3.79 3.86 3.86 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. Round SS to 6 decimals, MS to 6 decimals, F to 2…
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