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You wish to test if there is a difference in the average time male and female students spend studying for a business statistics class. Construct the null hypothesis:
a) Mean signM-Mean signF>0
b) Mean signM-Mean signF=0
c) Mean signM-Meansign F=/0 (Don't know how to make that sign,,,sorry)
d) MeansignM-MeansignF<0
is there a linear relationship between age and education and if so how strong is that relationship? is it possible to
Small bag of Skittles candies has following assortment: red (12), blue (5), orange (15), brown (0), green (16), and yellow (7). Create the probability distribution for x.
Explain the value of test statistic using t distribution for the given value. Illustrate value of the t test statistic if you are testing a hypothesis.
Prove that each of the following sets is countable: The set of all numbers with two distinct decimal expansions (like 0.500... and 0.4999...);
Suppose that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more?
What percent of the SAT verbal scores are less than 650 and if 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 575?
A firm will promote two employees out of a group of six men and three women. list the chances of this experiment if there is particular concern about gender equity.
In testing the difference between two means from two independent populations, the sample sizes do not have to be equal to be able to use the Z statistic.
If another sample of 1000 companies is taken, do you expect the sample mean to be 7.2 again? Why or why not? Repeating this experiment many times with different samples.
A company that manufactures computer chips wants to use a multiple regression model to study the effect that different variables have on y, the total daily production cost
Many states are carefully considering steps that would help them collect sales taxes on items purchased through the Internet.
45 percent households say they would feel secure if they had $50,000 in savings. you randemly select 8 households and ask them if they would feel secure if they had $50000in savings
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