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Suppose that the mean systolic blood pressure of normal adults is 120 millimeters of mercury (mm Hg) and the standard deviation is 5.6. Assume the variable is normally distributed.
A.) If an individual is selected at random, find the probability that the person's pressure will be between 118 and 121.8mm Hg.
B.) If a sample of 30 adults is selected at random, find the probability that their mean pressure will be between 118 and 121.8mm Hg.
Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing);
Twenty three percent of automobiles are not covered by insurance. On a particular weekend, 35 automobiles are involved in accident.
In a simple linear regression analysis of 18 data points the following ANOVA table was found.
The mean is a useful measure, but it can be misleading. Describe a circumstance when the mean is very useful as the average and a circumstance when the mean is very misleading as the average.
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
Assuming that the dogs did better than what would be expected with random guessing, did they do well enough to be used for actual medical diagnoses? Why or why not?
To give 98% confidence interval for population mean μ, you would use critical value.
Categorize the following as discrete or continuous random variables.
For thefts involving more than $1,000, there is an inverse relationship between the value of the goods stolen and the length of the prison sentence given to the thief.
What is the expected number of Republicans who will win office in the coming election?
A manager of a small store wanted to discourage shoplifters by putting signs around the store saying "Shoplifting is a crime!" However, he wanted to make sure this would not result in customers buying less.
Using the original data, estimate the population standard deviation with 90% probability.
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