When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain about 60% of their maximum heart rate. For 20-year-olds, this rate is approximately 120 bpm. A simple random sample of one hundred 20-year-olds was taken, and the sample mean was found to be 107 bpm with a standard deviation of 45 bpm. Researchers wonder if this is evidence to conclude that the expected level is actually lower than 120 bpm.

a) Test the following hypotheses at 5% significance level - follow the five steps.

b) Construct a 95% confidence interval for the population mean weight control heart rate for 20-year-olds and give an interpretation for the calculated confidence interval.

c) Do you think if we changed the confidence level to be 99%, the confidence interval would be wider or narrower? And why?

a) We reject H₀ we can conclude that the expected level is actually lower than 120 bpm

b) In the procedure

c) Confidence interval become wider

Step-by-step explanation:

1. - Hypothesis Null hipothesis H₀ μ₀ = 120

Alternate hipothesis Hₐ μₐ < 120

2. - Is requiered significant level of 5 % that means α = 0,05

and confidence interval is then 1 - 0,05 = 0.95 or 95 %

That definiton divide the area under the bell shape curve in two, the rejection area which is 0,05; and the acceptance region for hipothesis H₀ 95 %.

3. - According to significant level 5% the z value [ z (c) = - 1.64 ]

4. - Now we calculate the vale for z (e) = z statistic

z (e) = (x - μ₀) / (σ/√n) ⇒ z (e) = (107-120) / (45/√100) ⇒ z (e) = - 13*10/45

z (e) = - 2.88

5. - z (e) < z (c) z (e) is in the rejection region

6. - We reject H₀

7. - We have enough evidende to reject H₀ we can conclude that the expected level is actually lower than 120 bpm

c) If we change the confidence level to 99 % α = 0.01

now we have α = 0.01 and the confidence interval is 99 % the confidence interval become wider z (c) in this case is - 2.32. Still z (e) < z (c)

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