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The mean age of a sample of 60 students from a class was found out to be 25.3 years. The variance in population age was 16 years.
a) Calculate a point estimate for the population mean
b) Find the 95% Confidence interval for the population mean.
c) Find the 99% Confidence interval for the population mean.
The NY Dept of Motor Vehicles (DMV) designs its license plates with space for 7 letters or numerals. In the most recent iteration, the DMV uses three letters followed by 4 numbers.
Now assume institutional cache is used. Hit rate for cache is 0.6. Determine the total average response time.
Find the z-score for each score in the population. Transfer the original population into a new population of N=5 scores with a mean of μ=60 and a standard deviation of σ=8
Construct the 90 percent confidence interval for the proportion of checking account customers who have a Visa card with the bank. (Round your answers to 3 decimal places.)
Among the half that had surgery, 80% showed improvement after three months, but only 54% of those who used the wrist splints improved. what's the standard error of the difference in the two proportions?
Using an investment game, the study demonstrated that people who inhaled oxytocin were more likely to give their money to a trustee compared to people who inhaled an inactive placebo. For this experimental study, identify the independent variable ..
A large population of overdue bills has balances that follow a normal curve. When we take a sample of 100 of these the average is $500 and the SD is $100.
Rhe frequency distribution summarizes a sample of times (in minutes) between eruptions of a cretain geyser. Find the approximate population mean and approximate population standard deviation of the data.
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
If IQ scores on a Stanford-Binet Test are basically distributed with the mean of 100 and a standard deviation of 15, then about how many people in a randomly chosen million would be expected to score at 160 or above?
Determine the expected shape of distribution of sample mean? Compute the likelihood of choosing a sample with mean of at least $112,000?
There is no proof the new policy is more effective, but we cannot finish the policy has no effect on smog. Interpretation of P-value for the given context.
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