Researchers conducted a study to determine whether magnets are effective in treating back pain. The results (higher values indicate larger reductions in pain levels) are shown in the table for the...


Researchers conducted a study to determine whether magnets are effective in treating back pain. The results (higher values indicate<br>larger reductions in pain levels) are shown in the table for the treatment (with magnets) group and the sham (or placebo) group.<br>treatment<br>sham<br>sample size<br>19<br>22<br>mean<br>12<br>10<br>standard deviation<br>4<br>3<br>Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not<br>assume that the population standard deviations are equal. Use the p-value method and a 0.01 significance level to test the claim that<br>the treatment mean measure of reduction in back pain is greater than the sham mean measure of reduction in back pain. (Hint:<br>Consider statistictreatment

Extracted text: Researchers conducted a study to determine whether magnets are effective in treating back pain. The results (higher values indicate larger reductions in pain levels) are shown in the table for the treatment (with magnets) group and the sham (or placebo) group. treatment sham sample size 19 22 mean 12 10 standard deviation 4 3 Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Use the p-value method and a 0.01 significance level to test the claim that the treatment mean measure of reduction in back pain is greater than the sham mean measure of reduction in back pain. (Hint: Consider statistictreatment"Statisticsham-) Enter the p-value. (Round your answer to nearest ten-thousandth.) When using tables to find a tight range for the p-value, enter one of the boundaries of the interval (not 0 or 1) found using the tables. 1. Extract Information: 2. Original Claim: 3. H H;: 4. Test Statistic: 6. p-Value: 5. Distribution (Graphically): 7. Statistical Conclusion:

Jun 08, 2022
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