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Several studies in the 1990's investigated the effectiveness of using non-steroidal anti-inflammatory drugs in the treatment of familial andenomatous polyposis (FAP). The data set provided below contains the number of colonic polyps after 12 months for the placebo and treatment groups. 1.Choose the correct null and alternative hypothesis. Note: μ1μ1 represents the average number of polyps for the placebo group and μ2μ2 represents the average number of polyps in the treatment group. 2.Compute the test statistic. Round your answer to 4 decimal places. 3.Compute the p-value. Round your answer to 4 decimal places.

Several studies in the 1990's investigated the effectiveness of using non-steroidal anti-inflammatory drugs in the treatment of familial andenomatous polyposis (FAP). The data set provided below contains the number of colonic polyps after 12 months for the placebo and treatment groups. 1.Choose the correct null and alternative hypothesis. Note: μ1μ1 represents the average number of polyps for the placebo group and μ2μ2 represents the average number of polyps in the treatment group. 2.Compute the test statistic. Round your answer to 4 decimal places. 3.Compute the p-value. Round your answer to 4 decimal places.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Background: Several studies in the 1990's investigated the effectiveness of using non-steroidal anti-inflammatory drugs in the treatment of familial andenomatous polyposis (FAP). The data set provided below contains the number of colonic polyps after 12 months for the placebo and treatment groups.

1.Choose the correct null and alternative hypothesis. Note: μ1μ1 represents the average number of polyps for the placebo group and μ2μ2 represents the average number of polyps in the treatment group.

2.Compute the test statistic. Round your answer to 4 decimal places.

3.Compute the p-value. Round your answer to 4 decimal places.

 

The image presents a table comparing data from a placebo group and a treatment group. Below is the transcription of the table: | Placebo | Treatment | |---------|-----------| | 63 | 2 | | 29 | 18 | | 62 | 1 | | 6 | 24 | | 14 | 4 | | 44 | 34 | | 28 | 3 | | 9 | 1 | | 41 | 4 | | 47 | | | 50 | | Each row in the table corresponds to a pair of data points: one from the placebo group and one from the treatment group. Some entries in the treatment column are missing, which might indicate a lack of data for those particular instances. This data could be used to draw comparisons between the placebo and treatment outcomes.
Transcribed Image Text:The image presents a table comparing data from a placebo group and a treatment group. Below is the transcription of the table: | Placebo | Treatment | |---------|-----------| | 63 | 2 | | 29 | 18 | | 62 | 1 | | 6 | 24 | | 14 | 4 | | 44 | 34 | | 28 | 3 | | 9 | 1 | | 41 | 4 | | 47 | | | 50 | | Each row in the table corresponds to a pair of data points: one from the placebo group and one from the treatment group. Some entries in the treatment column are missing, which might indicate a lack of data for those particular instances. This data could be used to draw comparisons between the placebo and treatment outcomes.
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