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Explain the difference between independent samples and dependent samples. Classify the following as independent or dependent samples:
a. Weights of identical twins
b. The effectiveness of two different brands of ibuprofen
c. Effect of a new training program on time taken to complete a task, measured by a "before" and "after" test
d. Test scores of a group of students on a math test and a biology test.
Jolly Blue Giant Health Insurance is concerned about rising lab test costs and would like to know. Determine the essential sample size?
Find the 90% confidence interval for the standard deviation for the time it takes an inspector to check a bus for safety if a sample of 27 buses has a standard deviation of 6.8 minutes.
What is the probability that a person who has submitted one entry will win the following?
The Dean of Students believes that the costs are greater this semester. What is the test value for this hypothesis?
Probability that the entire batch will be rejected?
Most of the time managers will have initial (or prior) knowledge of the probabilities that an event or outcome will result. When new information is obtained, initial probability projections can be revised and improved. What statistical techniques ..
Assume men's weights are normally distributed w/ a mean of 172 lb. and a s.d. of 29lb.
(a) At the 5 percent level of significance, does this sample prove a violation of the guideline that the average patient should pay no more than $250 out-of-pocket? State your hypotheses and decision rule. (b) Is this a close decision?
John Rengel is the Quality Assurance Supervisor for Vino Supremo Vinyards. He knows that 10 percent of each box of corks is undersized.
If we fit the least-squares line to the 12 data points (one for each month) we obtain the following results from a software package. Notice that temperature is taken as the explanatory variable and crawling age as the response.
Compute the probability for the given frequency distribution.
A research firm conducted a survey to determine the mean amount people spend at a popular coffee shop during a week. They found the amounts spent per week followed a normal distribution with a population standard deviation of $4.
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