For a simple random sample of pulse rates of women (measured in beats per minute), n = 141 and s = 12.7. The normal range of pulse rates of adults is typically given as 60 to 100 beats per minute. If the range rule of thumb is applied to that normal range, the result is a standard deviation of 10 beats per minute. Use the sample results with a 0.05 significance level to test the claim that pulse rates of women have a standard deviation equal to 10 beats per minute; see the accompanying JMP display that results from using the original list of pulse rates instead of the summary statistics. (Hint: The bottom three rows of the display provide P-values for a two-tailed test, a left-tailed test, and a right-tailed test, respectively.) What do the results indicate about the effectiveness of using the range rule of thumb with the "normal range" from 60 to 100 beats per minute for estimating in this case? Assume that the simple random sample is selected from a normally distributed population. i Click the icon to view the JMP display. Let o denote population standard deviation f the pulse rates of women (in beats per minute). Identify the null and alternative hypotheses. H₂: H₁:σ▼ (Type integers or decimals. Do not round.) Identify the test statistic. □ (Round to two decimal places as needed.) Identify the P-value. (Round to three decimal places as needed.) State the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. that there the null hypothesis. There ▼sufficient evidence to ▼the claim that pulse rates of women have a standard deviation equal to 10 beats per minute. The results indicate significant evidence that using the range rule of thumb with the "normal range" from 60 to 100 beats per minute for estimating effective in this case.

The heart rate of humans are normally distributed with a mean of 90.3 bpm and std. dev. of 7.3 bpm.  What are the heartbeats that separate the lower 25% from the rest and the upper 20% from the rest?

Dr. Shoals predicts that people who walk a mile in moderately high heels will have less back pain than when they walk in very high heels. 27 participants walk in 4-inch heels and then 2.5-inch heels. He calculates the standard deviation of the difference scores and finds sD = 3.37. The mean back pain when walking in 4-inch heels is 6.75, and when walking in 2.5-inch heels, it is 3.25. What is the t statistic for this experiment

On an exam with u=52, a person has a score of x=14, which value for the standard deviation would give this person the highest position in the class distribution?