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1. What are the assumptions underlying a normal distribution?
2. What are the assumptions underlying a binomial distribution?
3. Why do we want to assume that our sample data represent a population distribution?
4. What are the differences between the binomial and normal distributions?
5. What are the similarities between the binomial and normal distributions?
What is the interpretation of the coefficients that emerge from the regression equation. Can you predict a change in the y variable given knowledge of the x variable?
Two semiconductor factories are being compared to see if there is a difference in the average defect rates of the chips they produce. In the first factory, 250 chips are sampled. In the second factory, 350 chips are sampled. The proportions of def..
The null hypothesis is to be tested at the 10% level of significance. The critical value from the table is:
Assume if the students toss the coin 200 times each about 68% should have proportions among what two numbers.
Find the values of the correlation coefficient and the coefficient of determination. Find the slope, y-intercept, and equation of the regression line for the data. Plot the points and a graph of the regression line on the same axes.
A computer diskette manufacturer is concerned that some diskettes have bad sectors that would cause a diskette to hold less information than it was intended to hold.
Test the following claim about the difference between 2 populations proportions p1 and p2 for the given level of significance a and given sample statistic. Is it right-tailed, left-tailed, two-tailed. Assume the sample statistic are from independe..
State the number of degrees of freedom that are associated with each of the following extra sum of squares and why this is the case:
Describe a study you might design that could use the Chi Square statistic. What are the variables? What are the null and alternative hypotheses? Why would the Chi Square test be appropriate for this design?
Find the distribution of profit for a unit price of $500. Use the Decision Table tool to find the best price between $400 and $600 in steps of $25.
Use Chebyshev's theorem to determine what percent of values will fall between 58 and 82 for data set with mean of 70 and standard deviation of 4.
To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments.
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