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Suppose a geyser has a mean time betwen eruptions of 83 minutes. Let the interval of time between the erupitons be normally distributed with standard deviation 24 minutes.
a. what is the probability that a randomly selected time interval between eruptions is longer than 94 minutes?
b. what is the probability that a random sample of 10 time intervals between eruptions has a mean longer than 94 minutes?
c. what is the probability that a random sample of 30 time intervals between eruptions has a mean longer than 94 minutes?
Using the .05 level, what should the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing.
a box contains n marbles each of which is labeled by engraving by one of the integers 1 2 . . . n. two of the marbles
Please give an example on higher wages vs. education level using a sample population of 30 men and women. Compute the measures of central tendency, dispersion, and skew for your data
What is the probability that a particular driver has two speeding violations.
This problem involves calculating and interpreting the 95% confidence interval for a proportion. While you can use SPSS to determine proportions, you need to calculate the confidence interval by hand.
Plot the sales data as a time series and do you think this series is stationary or nonstationary
Would this be a T-value distribution? Can you take me through the steps to determine upper and lower limits of a 95% confidence interval?
You are given the following data. Test the claim that there is a difference in the means of the two groups. Use = 0.01. State the null and alternate hypotheses
The sample was collected by interviewers going to people's homes in randomly chosen areas in each of the 9 countries. The population represented by this sample was:
The proportion of left handers is 0.10. What is the number of left handers in the sample and what notation is given to that number? What is the values of p and ^p?
To findout the point estimate of the difference among population mean. Elucidate the percentage increase in the number of days on the disabled list.
Find the calcium level that is the borderline between low calcium levels and those not considered low. Carry your intermediate computations to at least four decimal places.
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