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Which of the variables below do you think will be roughly normally distributed? Please select all that apply.
a) Weights of 10 year old boys
b) Incomes of 40 year of adults.
c) The numbers that show up when you roll a die.
d) The amount of coffee which a filling machine puts into a 1 pound can.
Define the variable - the weight in pounds - it is a dependent variable. Find the mean, median, mode, variance, and standard deviation for your data.
Suppose population standard deviation for those drinking regular coffee is 1.20 cups per day and 1.36 cups per day for those drinking decaffeinated coffee.
The mean income of a group of sample observations is $500; the standard deviation is $40. According to Chebyshev's theorem, at least what percent of the incomes will lie between $400 and $600?
Two airlines fly to Memphis. according to airport data for the past year, wings airlines planes arrived on time 330 times and were late 60 times. Global airlines planes arrived on time 430 times and were late 50 times.
Compute the mean, median, mode and standard deviation for the following discrete probability distribution.
A survey of 600 non-fatal accidents showed that 111 involved the use of a cell phone. Find a point estimate for p, the population proportion of accidents that involved the use of a cell phone.
The mean of a normal probability distribution is 60; the standard deviation is 5.
When the underlying average of a time series is very stable and there is no trend, cyclical, or seasonal influences,
Determine the critical value, z0, to test the claim about the population proportion p
What is the P-value of the test, assume the standard deviation is 3 years, a 95% confidence interval for the average time
Suppose B^0 and B^1(beta hut 0 and beta hut 1) are the least squares estimates of B0 and B1 of the first model. Find the estimates of B0* and B1* in terms of B^0 and B^1.
He measures the heights of 25 men from this century and finds the mean and standard deviation for his sample.
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