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1. What is the null hypothesis in a chi-squared test of independence?
2. How many "tails" can a chi-squared test have, one or two?
3. In a regression analysis, what do the residuals from the fitted line add up to?
4. List the assumptions under which the linear regression model is supposed to work.
5. What is the interpretation of the coefficient of determination? Between what values can it vary?
A student team examined parked cars in four different suburban shopping malls. One hundred vehicles were examined in each location. Research question: At α = . 05, does vehicle type vary by mall location?
Based on chi-square table, what is the most correct statement which can be made about the p-value for the test?
Find out and interpret coefficients of correlation and determination for U. S. prices versus Canadian prices.
Determine Probability values based on discrete distribution.You roll a fair die three times.
A college student is taking 5 courses in a semester. He is willing to assume that he will get an A with probability 0.10, a B with probability 0.80, and a C with probability 0.1 in each of the courses. He defines X1, X2, and X3 to be the number of..
What size random sample should you take if you want to estimate the annual salary in the population with 99 percent confidence and a maximum margin of error of $250?
State the decision rule. Compute the value of the test statistic. What is your decision regarding the null hypothesis?
The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X 1 ) and their gender (X 2 ) (0 if male and 1 if female).
Use the following data to write the normal equations of the linear regression between Y and X, and find the least squares regression.
Using one mean Z test to test whether or not to support the claim - Is there evidence that the average hours is below 6? Describe.
When we move from the basic normal distribution to the sampling distribution of the mean we substitute the standard error of the mean for the standard deviation when we make the conversion to the standardized normal distribution.
The sample mean of the sampling distribution of a statistic is 6 and the standard error of the statistic is 1.03. What is the probability that xbar > 7.52?
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