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Choose a variable and collect data for at least three different groups (samples). Compare the means of the three groups using the one-way ANOVA technique. Complete the following:
1. Write a brief statement of purpose of the study
2. Define the population
3. State how the sample was selected
4. What a value did you use?
5. State the hypotheses
6. What was F test value?
7. State the decision
8. Summarize the results
In terms of p , the researcher should test which of the following null and alternative hypotheses?
What is the probability that the mean life-span of a sample of 64 randomly selected bulbs will exceed 727 hours?
Discuss how you would investigate the operations of the plant to determine why the proportions were off the targeted values. Speculate on three or more possible conditions in plant and bagging process that could have caused the observed results.
The average hourly wage of workers in a fast food restaurant is $5.85 with a standard deviation of $0.35. Assume that the distribution is normal.
Two cards are drawn successively and without replacement from an ordinary deck of playing cards. Compute the probability of drawing-- A heart on the first draw, a club on the second draw.
If 55 people are chosen at random, what is the probability that the sample mean of IQ scores will not differ from the population mean by more than 2 points?
The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context.
Use the given date to find the minimum sample size required to estimate a population proportion and populat mean. Margin of error: 0.004, confidence level, 90%, sample proportion (p) : = 0.45
A sample of 4 trucks is randomly selected. What is the probability that 2 of those tested have defective brakes? (Round your answer to 4 decimal places.)
If 9 loads are chosen at random for a weight check, find the probability that the mean weight of those loads is less than 47.6 tons. Assume that the variable is normally distributed.
Test the claim that the actual amount of coke exceeds 12 ounces. (Note: You can use the value of $s$ as the value of $sigma$ for your hypothesis test).
He can award a bonus to 20 percent of the representatives. What is the cutoff point between those who earn a bonus and those who do not?
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