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Pulse rate is an important measure of the fitness of a person's cardiovascular system. The mean pulse rate for all U.S. adult males is approximately 72 heart beats per minute. A random sample of 21 U.S. male adults who jog at least 15 miles per week had a mean pulse rate of 52.6 beats per minute and a standard deviation of 3.22 beats per minute.
What is the 95% confidence interval for the mean pulse rate of all U.S. adult males who jog at least 15 miles per week.
How do I interpret the interval found above? and does it appear that jogging at least 15 miles per week reduces the mean pulse rate for adult males?
What assumptions are required for the validity of the CI?
A random sample of n=31 households is asked the number of TV sets in the household. The responses are-What is the mean number of TVs?
Determine the standard error of students that favoured the move.
Based off the three requirements that must be met before an analysis of variance test (ANOVA) can be used: Samples must be randomly selected from the populations to be evaluated.
The Rathburn Manufacturing Company makes electric wiring, which it sells to contractors in the construction industry. Approximately 900 electric contractors purchase wire from Rathburn annually.
If 36 women are selected at random, find the mean, and standard deviation, of the population of sample means. Suppose that the sampling is done without replacement and use a finite population correction factor.
Suppose among 312 large city residents sampled, 65 refused to cooperate. What is the margin of error at the 95% confidence level.
A random sample of size 16 is chosen from a population and a 90% confidence interval for the standard deviation will be determined. What value of should be located in the chi-square distribution table?
Make a point estimate and a 95% confidence interval estimate.
Test, at the 5% level of significance, whether the population standard deviation of hours spent studying is less than 10. Use the Critical value approach.
What is the 99% confidence interval?
When we have data that are measured at the interval/ratio level of measurement, there are:
Explain a Type I error for this situation. Explain a Type II error for this situation.
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