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a) Explain the difference between one-factor and two-factor ANOVA. (b) Write the linear model form of one-factor ANOVA. (c) State the hypotheses for a one-factor ANOVA in two different ways.
d) Why is one-factor ANOVA used a lot?
Mean=63.6 Standard deviation=2.5 If 36 data points are arbitrarily chosen, determine the probability that mean is less than 64.
Find the critical values and identify the rejection regions. Calculate d and sd. Use the t-test to find the standardized test statistic t. decide whether to reject or fail to reject the null hypothesis.
The credit score of a 35 year old applying for a mortgage at Ulysses Mortgage Associates is normally distributed with a mean of 600 and a standard deviation of 100.
(A) What sums are needed to calculate a correlation coefficient? (B) What are the two ways of testing a correlation coefficient for significance?
What are the requirements that must be met for a regression analysis? What happens if these requirements are violated? Why is the analysis of residuals important?
What happens to the probability of getting exactly 50% heads?
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
The Financial Advisor exam has a mean of 500 and a standard deviation of 20. If the bank chooses to hire either Steve or Mark based solely on their exam performance, who is the bank more likely to hire? Show evidence for your answer.
Explain the concepts involved in hypothesis testing, including what hypothesis testing is, and an explanation of the four types of scales used to measure data.
Compute the following linear programming problem and describe the special case of a linear programming problem in which.
Suppose the random variable X is normally distributed with mean =50 and standard deviation =7 calculate P(X).
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five point in time during a manufacturing cycle.
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