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When performing a 2-way ANOVA with replication you must first:
A) Perform an interaction hypothesis test
B) Take out the error because you ran replicates and error makes no sense with replicates
C) Perform a hypothesis test on the factor you believe has an effect on the response
D) Perform a hypothesis test on the factor you believe DOES NOT have an effect on the response
Conduct a two-sample test of means. A study by a bank compared the average savings of customers who were depositors for three years or less with those who had been depositors for more than three years.
Create the 90% confidence interval for mean score of all such subjects. You may suppose scores are usually distributed.
If W denotes the total number of spaces one moves under these special conditions, find the mean and standard deviation of W.
The average height of american woman is distributed normally, with a mean of 63.5 inches and a standard deviation 2.5 inches. Approximately what percentage of american women are taller than 58.5 inches,
Test hypothesis that both propellants have same mean burning rate. Utilize α=0.05. Compute the P value.
If a researcher decides to use multiple comparisons in a study with three conditions, what is the probability of a Type I error across these comparisons? Use the Bonferroni adjustment to determine the suggested alpha level.
The assembly time for a product is uniformly distributed between 6 to 10 minutes.
What is the value of the test statistic? (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.)
By using a level of significance of .10, is there evidence that the population mean weight of the candy bars is greater than 4.3?
The manager of a local gymnasium has determined that the length of time patron spend at the gymnasium is normal distributed with mean 80minutes and standard deviation 20 minutes. What is the patrons who spend more than 120 minutes at the gymnasium..
Standard deviation was increased to 40, determine the overall effect on their society? Would this change be a good thing?
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
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