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Diastolic blood pressure are assumed to follow a normal distribution with a mean of 85 and a standard deviation of 12.
a. What proportion of people have diastolic blood pressure less than 90?
b. What proportion have diastolic blood pressures between 80 and 90?
c. If someone has a diastolic blood pressure of 100, what percentile does this represent?
State the quick rule for a significant correlation and explain its limitations. What sums are needed to calculate a correlation coefficient? What are the two ways of testing a correlation coefficient for significance?
Decision making under risk is the same as decision making under uncertainty because in both the probabilities are unknown.
As part of this trial, they want to find out whether there is a difference between effectiveness for women and for men. At = .05, what is the test value?
If a member of this senior class is selected at random, find the probability that the student a) smokes but does not drink alcoholic beverages; b) eats between meals and drinks alcoholic beverages but does not smoke; c) neither smokes nor eats bet..
When the null hypothesis is rejected in the goodness-of-fit test, it means there is close agreement between the observed and expected frequencies.
Hypothesis test for the difference between two means - Assume the population standard deviations are not the same. At the 0.05 significance level, is there a difference in the mean waiting time?
Distinct random variable
A) Resistant statistics should always be used. B) Resistant statistics should be used when the data is not bell-shaped. C) Sensitive statistics should be used when the data is not bell-shaped. D) Sensitive statistics should always be used. E) Resista..
An analysis of 1,000 cellular phone calls made from company phones at the offices of Kant, Taekitini, Moore, LLC reveals that the length of these calls is normally distributed, with m = 240 seconds and s = 40 seconds.
Based on this sample information, develop a 90 percent confidence interval for the population mean yearly premium.
What is the purpose of sampling? What are some concerns and dangers of sampling? How important is the sample design to data validity? Explain.
If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means:
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