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High temp for January 1st is normally distributed with a mean of 40 degrees and a standard deviation of 5 degrees.
Determine the probability that the Jan 1st high temp will be exactly 40 degrees. Determine the probability that the Jan 1st temp will be above 48 degrees.
If Jan 2nd has the same high temp probability distribution, what is the probability that the high will be over 48 degrees 2 days in a row?
Rhode Island Red Chickens the incubation time for Rhode Island Red chicks is normally distributed to find out the number of chicks we expect that will hatch.
Use an alpha level of .01 and test the hypothesis that the two methods are producing the same mean.
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
Compute the mean, median, mode and standard deviation for the following discrete probability distribution.
Given a normal distribution of data, we know from the Empirical Rule that in between 2 standard deviations from the mean
The standard deviation of the sample is 2.5 calls. Using the .05 significance level, can we conclude that the mean number of calls per salesperson per week is more than 44?
For the following data set, indicate whether the shape of the distribution is normal, positively skewed, or negatively skewed. Provide evidence for your answer by calculating the mean, mode, and median.
Constructing a 95% confidence interval for the true length of time for all pepper seeds to germinate you must calculate the margin of error. The margin of error in this case is 0.60.
If the sum of squares total is 800 and the sum of squares error is 170. What is the r-squared value?
The Texas Transportation Institute at Texas A&M University conducted a survey to determine the # of hours per year drivers waste sitting in traffic.
Scores on a test are normally distributed with a mean of 60.9 and a standard deviation of 12. Find P81, which separates the bottom 81% from the top 19%.
What happens to the confidence interval and the power of the test at a particular point of interest. As one increases the sample size of a test, all else remaining the same.
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