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Question: Toothpaste Ken is traveling for his business. He has a new 0.85-ounce tube of toothpaste that's supposed to last him the whole trip. The amount of toothpaste Ken squeezes out of the tube each time he brushes varies according to a Normal distribution with mean 0.13 ounces and standard deviation 0.02 ounces. If Ken brushes his teeth six times on a randomly selected trip, what's the probability that he'll use all the toothpaste in the tube?
a researcher collects data on two independent samples. the first group consists of 20 human subjects has a sample mean
Packages from packing machine have a mass, which is normally distributed with mean 200g and standard deviation 2g. Find the probability that the package from the machine weighs
a) Create a probability model for the amount you win at this game. b) Find the expected amount you'll win.
comparison of the degree of linear correlation are considered most accurate in terms ofa. the standardized regression
among the 15 scientists working on a research project 10 have ph.d.s. if four of these scientists are chosen at random
A recent survey indicated that 82% of single women aged 25 years old will be married in their lifetime. Using the binomial distribution.
A large company buys four such printers. What is the probability that the mean lifetime of the four printers is more than 1568 hours?
question previous small study was investigating the total cost of 10 specific items of fruits and vegetables which
Substance abuse risk and bipolar disorder. Wilens and colleagues (2008) studied the association between bipolar disorder and substance abuse.
The standard deviation of the ages of a sample of 21 executives from the northern states was 8.4 years; while the standard deviation of the ages of a sample of 30 executives from southern states was 12.8 years.
Go through the conditions for which the sampling distribution of a sample proportion is approximately normal, and explain why they would apply to this situation.
1. Suggest several lurking variables that might help explain the association between marital status and income.
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