A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly...

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A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, and the<br>standard deviations were reported to be 10.4% and 10.2%, respectively. Was there a significance increase in RMR of the women runners over the sedentary women? Assume the populations to be approximately normally<br>distributed with equal variances. Use a P-value in the conclusion.<br>Click here to view page 1 of the table of critical values of the t-distribution<br>Click here to view page 2 of the table of critical values of the t-distribution<br>Let sample 1 be the women runners and let sample 2 be the sedentary women. State the null and alternative hypotheses.<br>Ho: H- = 0<br>H H-2 >0<br>Determine the test statistic.<br>(Round to two decimal places as needed.)<br>

Extracted text: A study shows that running increases the percent resting metabolic rate (RMR) in older women. The average RMR of 35 elderly women runners was 32.1% higher than the average RMR of 35 sedentary elderly women, and the standard deviations were reported to be 10.4% and 10.2%, respectively. Was there a significance increase in RMR of the women runners over the sedentary women? Assume the populations to be approximately normally distributed with equal variances. Use a P-value in the conclusion. Click here to view page 1 of the table of critical values of the t-distribution Click here to view page 2 of the table of critical values of the t-distribution Let sample 1 be the women runners and let sample 2 be the sedentary women. State the null and alternative hypotheses. Ho: H- = 0 H H-2 >0 Determine the test statistic. (Round to two decimal places as needed.)
A marketing expert for a pasta-making company believes that 40% of pasta lovers prefer lasagna. If 13 out of 20 pasta lovers choose lasagna over other pastas, what can be concluded about the expert's claim? Use a 0,10 level<br>significance.<br>Click here to view the binomial probability sums table for n=17 and n=18<br>Click here to view the binomial probability sums table for n=19 and n=20<br>Let a success be a pasta lover that chooses lasagna over other pastas. Identify the null and alternative hypotheses.<br>O A. Ho p<0.4<br>O B. H, p=0.4<br>H, p>04<br>VE. Ho p=0.4<br>H, p#0.4<br>OC. H, p>0.4<br>H, p=04<br>H1: p=0.4<br>CO D. Ho p=0.4<br>OF. H, p 0.4<br>H, p=0.4<br>H, p<0.4<br>The test statistic is a binomial variable X with p= 13 andn=29<br>(Type integers or decimals. Do not round.)<br>

Extracted text: A marketing expert for a pasta-making company believes that 40% of pasta lovers prefer lasagna. If 13 out of 20 pasta lovers choose lasagna over other pastas, what can be concluded about the expert's claim? Use a 0,10 level significance. Click here to view the binomial probability sums table for n=17 and n=18 Click here to view the binomial probability sums table for n=19 and n=20 Let a success be a pasta lover that chooses lasagna over other pastas. Identify the null and alternative hypotheses. O A. Ho p<0.4 o="" b.="" h,="" p="0.4" h,="" p="">04 VE. Ho p=0.4 H, p#0.4 OC. H, p>0.4 H, p=04 H1: p=0.4 CO D. Ho p=0.4 OF. H, p 0.4 H, p=0.4 H, p<0.4 the test statistic is a binomial variable x with p= 13 andn=29 (type integers or decimals. do not round.) the="" test="" statistic="" is="" a="" binomial="" variable="" x="" with="" p="13" andn="29" (type="" integers="" or="" decimals.="" do="" not="">
Jun 10, 2022
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