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Men's heights are normally distributed with a mean of 68.9in and standard deviation of 2.8in. Women's heights are normally distributed with mean 63.9in and standard deviation of 2.5in. The standard doorway height is 80 in.
a) What percentage of men are too tall to fit through a standard doorway without bending, and what percentage of women are too tall to fit?
b) If a statistician designs a house so that all of the doorways have heights that are sufficient for all men except the tallest 5%, what doorway height would be used?
Explain which indicate that changes in the concentration of carbon dioxide which cause changes in the global temperature
If you select a random sample of 16 cups and are willing to have an α = 0.05 risk of committing a Type I error, compute the probability of a Type II error (β) if the population mean amount dispensed is actually:
Analyze the data using linear contrasts to make the following comparisons:
How much of the variation in the dependent variable would be explained by the independent variable in this situation? Use job satisfaction and employee turnover as the variables for this problem.
lowering the price does not decrease this behavior and we should not decide to lower prices based on this research." Comment on the executive's conclusion. What type of inference is being made? Will the decision not to lower prices be a good one.
A city official has stated that 20% of the items sold by pawn shops within the city have been stolen. Ralph has just purchased 4 items from one of the city's pawn shops.
The choices are to be designated by the letter a, b, c, d, and e. The professor wishes to use a random-number table to determine which letter choice should correspond to the correct answer for a question. Using the number correspondence 1 for a, 2 fo..
If p denotes the p -value of the corresponding hypothesis test, which of the following is true?
Determine the largest plausible average balance for the accounts of those using her managed fund in which you could have 90% confidence.
A population of data from a paper supply company is known to have a mean weight of 55 ounces per ream and a population standard deviation of 5 ounces. The population is known to be bell shaped and symmetrical.
I believe this can be done by plotting out every 3 years average number of people working past 65 since 1997 until now and then making a predictability study as to number of people who will be working over the age of 65 in 2012.
When is it best to use either of them? What types of variables can you apply them to, how many variables can each encompass, and which can be employed for a prediction of a new observation?
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