The National Center for Health Statistics reports that the average systolic blood pressure for males 35-44 years of age has a mean of 121. The medical director of a large company believes the average systolic blood pressure for male executives 35-44 years of age at his company is different from 121. He asks for male executives aged 35-44 to volunteer to participate in his study. He looks at the medical records of the 81 volunteers and finds that the mean systolic blood pressure in this sample is 127.2 with a standard deviation of 28. Assume the population distribution is approximately normal. Conduct a hypothesis test at the 0.05 significance level to test this claim. What is the null hypothesis? What is the alternative hypothesis? What is the significance level? What is the value of the test statistic? Report your answer to two decimal places. What is the p-value? Report your answer to four decimal places. What is the correct decision? What is the appropriate conclusion? | How many of the three conditions/assumptions are met? What is the probability of a type 1 error?
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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