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Q1) i) You want to examine regional differences (IV) in household savings (DV measured in dollars.) You arbitrarily choose samples of households in West, South, and East.
ii) You wish to compare differences in sales dollars (DV) for 43 employees before and after they have attended motivational seminar.
iii) A sample of people is asked their height, and then measurement of their actual height is taken. Your null hypothesis is that self-reported and actual heights (DV is height measured in inches) do not vary.
iv) You want to test null hypothesis that gender (IV) makes no difference in buying one of four makes of cars (DV= Honda, Toyota, Lexus, Acura). Which statistical test would you conduct?
v) Re item 4, assume the critical value for this test is 4.92, and you obtain a computed statistical value of 7.45. Is there evidence to refuse null hypothesis? Describe why or why not?
Evaluate the performance of this decision.
What type of error has possibly been committed? Explain the error in ordinary language.
Formulate the hypotheses that can be used to determine whether the mean of all account balances is significantly different from $1,150
Use the trend equation to calculate the points for 2003 and 2005. Plot them on the graph and draw the regression line.
For a population with a mean of μ = 50 and a standard deviation of σ = 10, how much error, on average, would you expect between the sample mean (M) and population mean for:
Standard deviation was increased to 40, determine the overall effect on their society? Would this change be a good thing?
What is the probability that the cereal would be high calorie? In other words, what is P (high calorie)?
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
Use the method of least squares to model the relationship between x and y.
What can we conclude from these figures at a level of significance of .01?
If 25 men aged 18-24 are arbitrarily chosen, determine probability that their mean serum cholesterol level is between 165 and 200.
If the standard deviation of the amount of coffee dispensed is 0.4oz and the amount of coffee dispensed is normally distributed.
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