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An orange juice producer buys only one kind of oranges. The amount of juice squeezed from each of these oranges is approximately normally distributed with a mean of 4.2 ounces and a population standard deviation of 1 ounce. If a sample of 100 oranges is selected:
(a) What is the probability that the average juice squeezed is less than 4.15 ounces?
(b) What is the probability that the average juice squeezed is more than 4.3 ounces?
(c) What is the probability that the average juice squeezed is between 4.15 ounces and 4.3 ounces?
(d) Do we need the Central Limit Theorem to solve (a) and (b)? Why or why not? Explain.
Calculate the coefficient of skewness and coefficient of variation of minutes spent commuting. What do these statistics tell us?
Stats Questions Set. Which of the following statements correctly compares the t -statistic to the z -score when creating a confidence interval?
Utilize the given degree of confidence also sample data to construct a confidence interval for population proportion.
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
The standard deviation of grade points was 0.65 and the mean was 2.89. The standard error for the sample was
Student volunteers in a weight loss project were randomly assigned to one of three diets. After 2 months on the diets, subjects were weighed and weight loss was recorded for each person.
A rare disease has just broken out. Doctor Johnson is trying to help, but while treating patients he might expose himself to the disease.
The sample standard deviation of the first set of strengths was 8.2 ksi, the second set's S value was 9.8 ksi, and the S value for the 25 differences in strengths was 3.3 ksi.
a) Test whether there is a difference between attitudes in the 2 cities. Use a 95% alpha. b) What does your result say about attitude consistency across cities?
Market researchers use it by correlating product attribute ratings with a dependent measure such as overall satisfaction. They then rank the product attributes to determine which attributes are the most important. They call this Key Driver Analysi..
Set up hypotheses and test to find out whether or not population variance is larger than $100.
In the 1992 U.S. presidential election, Bill Clinton received 43% of the vote compared to 38% for George H. W. Bush and 19% for Ross Perot. Suppose we had taken a random sample of 100 voters in an exit poll and asked them for whom they had voted.
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