Suppose that a medical clinic wants to test whether there is a relationship between sex and age class in the number ofdeaths caused by cancer. The table shows the observed frequencies (counts) of a simple random sample of 117 deathsrelated to cancer.Younger than 4545 and olderTotalMale86068Female44549Total12105117Does this sample meet the requirements for conducting a chi-square test for independence?The sample does not meet the requirements because the expected frequency in at least one cell is less than 10.The sample does not meet the requirements because the expected frequency in at least one cell is less than 5.The sample does not meet the requirements because the observations are not independent.The sample meets the requirements because the observed frequency in each cell is at least 5.The sample meets the requirements because the expected frequency in each cell is at least 5.

Male Female Total Younger than 45 8 4 12 45 and older 60 45 105 Total 68 49 117

Answered: Suppose that a medical clinic wants to…

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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3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
In a packing plant, a machine packs cartons with jars. It is supposed that a new machine will pack faster on the average than the machine currently used. New machine: X1 bar = 40.12, s1 = 0.656, nl = 12 Old machine: X2 bar = 43.54, s2 = 0.760, n2 = 12 These are independent samples. Find the pooled variance?
A random sample of patient records from a large medical facility were taken and subjects were classified by smoking status and cholesterol levels. The results are summarized in the table with observed counts next to expected values in parentheses followed by the Chi-square component for each cell in brackets. Cholesterol Level Never Smoked 80 (68.86) [1.80] 49 (48.55) [0.00] 28 (39.59) [3.40] Totals 157 Low Moderate High Smoking Status Former Smoker 63 (63.16) [0.00] 37 (44.53) [1.27] 44 (36.32) [1.63] 144 Current Smoker 57 (67.98) [1.77] 55 (47.93) [104] 43 (39.09) [0.39] 155 Totals 200 141 115 456 Write the appropriate hypotheses if the researchers are interested in whether there is a relationship between smoking status and cholesterol levels.
According to the U.S. Department of Transportation’s Air Travel Consumer Report, the nation’s 12 largest airlines recorded an on-time arrival percentage of 77.4% in 2001. Of interest is to estimate the mean delay time for the 22.6% of all flights that did not arrive on time during 2013. A simple random sample of 28 late arriving flights was selected, and the mean delay time of this sample of 28 flights was 14.2 minutes, with a sample standard deviation of s= 6.4 minutes. Use this information to calculate and interpret a 98% confidence interval for the mean delay time for all flights that did not arrive on time during 2013.
A random sample of patient records from a large medical facility were taken and subjects were classified by smoking status and cholesterol levels. The results are summarized in the table with observed counts next to expected values in parentheses followed by the Chi-square component for each cell in brackets. Cholesterol Level Never Smoked 80 (68.86) [1.80] 49 (48.55) [0.00] 28 (39.59) [3.40] Totals 157 Low Moderate High Smoking Status Former Smoker 63 (63.16) [0.00] 37 (44.53) [1.27] 44 (36.32) [1.63] 144 Current Smoker 57 (67.98) [1.77] 55 (47.93) [104] 43 (39.09) [0.39] 155 Discuss briefly if the conditions for this test have been met. Totals 200 141 115 456
Is there an association between hair color and body type? The table below shows the results of a researcher's observations of randomly selected people. Frequencies of Hair Colors for Various Body Types Blonde Brunette Red Head Short and Slender 73 90 43 Short and Pudgy 110 108 70 Tall and Slender 53 99 70 Tall and Heavy 60 106 78 What can be concluded at the αα = 0.05 significance level? What is the correct statistical test to use? Independence Goodness-of-Fit Paired t-test Homogeneity What are the null and alternative hypotheses?H0:H0: The distribution of hair color is not the same for each body type. Hair color and body type are dependent. The distribution of hair color is the same for each body type. Hair color and body type are independent. H1:H1: The distribution of hair color is the same for each body type. The distribution of hair color is not the same for each body type. Hair color and body type are independent. Hair color and body type are…
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1. We want to investigate whether traffic accidents are more likely on certain days of the week on certain road sections. Which of the following tests best fits the situation?Choose one:a. Two-way analysis of variance OR b. Compatibility test OR c. Paired t-test 2. In which of the following can it be assumed that the sample comes from a normal distribution?Choose one:a. In the Runs test (random test)b. In the compatibility testc. In a two-way analysis of variance
Which outcome is expected if the null hypothesis is true for an analysis of variance? a. SSbetween should be about the same size as SStotal. b. SSbetween should be about the same size as SSwithin. c. MSbetween should be about the same size as MStotal. d. MSbetween should be about the same size as MSwithin.
The following table shows the results of an analysis of variance comparimg three treatment conditions with a sample of n = 7 participants in each treatment. Note that several values are missing in the table. What is the missing value for dfbetween? * SS df MS Between 20 XX XX XX Within XX XX 2 Total XX 16 29 O 23
work shown without excel would be so appreciated!
The dataset "nurses" is a random sample of 1,000 cases from “Health Care Provider Credential Data” from Washington State Open Data Portal. In the sample, there are 418 CNA's and 278 of the CNA's have expired credentials. Use the statistics from the nurses dataset to answer the following question: "With 90% confidence, what percent of all CNA's on Washington State's healthcare provider list are expired?"

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