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X is a normally distributed random variable with a mean of 5.00. If the probability thatXis less than 6.32 is 0.67 (as shown below), then what is the standard deviation of X?
Develop a regression model that could be used to predict the final average in the course based on the first test grade. Predict the final average of a student who made an 83 on the first grade.
The standard deviation is thought to be $750. How many card holders should be sampled? Your company charges a set dollar amount for each account in the sample.
Mmean of 67 inches and a population standard deviation of 4 inches. For any one person selected at random, what is the probability that their height will be: more than 69 inches?
Seven employees were included from Area A, 9 from Area B and 12 from Area C. The test statistic was computed to be 4.91. What can we conclude at the 0.05 level?
Sketch curves representing the distribution of the original population and the sampling distribution of x for a sample of size n+16.
He measured whether their answers to a standard set of mental problems were affected. His approach to manipulating his independent variable involved
Construct a 95% confidence interval for the proportion of red candies. Using your same data determine if the proportion of green candies in a package of M&Ms is differen than what is claimed by the company.
The 50 computer mice inspectors at a particular factory can only inspect 34 mice per hour. Does the company have reason to believe that these inspectors are slower than average at α = 0.10?
Compute an exponential smoothing forecast with a =.20, an adjusted exponential smoothing forecast with a = .20 and B =.20 and a linear forecast. Compare the three forecast, using MAD and average error (E) and indicate which seem to be most accurat..
How would you choose an appropriate level of significance for your statistical test? What are the possible outcomes and limitations of your statistical test?
In the context of this scenario, what would be the consequences of making a Type I error?
What proportion of time is the machine down due to a type 1 failure? What proportion of time is the machine down due to a type 2 failure? What proportion of time is it up?
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