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This question is asking for speculation about the possible results of a study if we change the size of the population. It all depends on unknowns such as how representative the 100 adults are of the population. In general, the larger the population the sure we are that it is representative of the population.
In a poll of 100 adults, 45% reported they believed in "faith healing." (USA Today, 20 April 1998). Based on this survey, a "95% confidence interval" for the proportion in the population who believe in faith healing is about 42% to 48%. If this poll had been based instead on 5000 adults, do you think the "95% confidence interval" would be wider or narrower than the interval given? Explain
What is critical z-value which corresponds to confidence level of 88%.
A bonding company want to insure a construction projects completion. If the project is cancelled due to the contractor's lack of performance
A shipment of 500 dolls is received by Panda Importers. The quality control manager selects a random sample of 75 to test. Five are bound to be defective. Construct a 90 percent confidence interval for the population proportion of defective dolls ..
Develop appropriate hypotheses such that rejection of H0 will support the researcher's contention.
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Suppose we wish to test the null hypothesis that there are no differences among the proportion of men and women who developed a rash. Evaluate the P-value of the chi-square test of this hypothesis.
Suppose that the number of babies born during an hour at a hospital's maternity wing follows a Poisson distribution with a mean of 4 per hour.
The last lessons have spent a lot of time describing the slope and intercept terms (and their variances) of the one-variable sample regression function.
Based on these data, does it seem that strength of relationship between sales and promotions expenditures is enough to permit using linear regression forecasting model? Describe why?
A recent election return indicated that 55% voted for a proposal, 40% voted against it, and 5% abstained. What is the probability that a voter either abstained or voted against the proposal?
Construct the payoff table for this decision situation. Compute the expected value of each alternative amount of milk that could be stocked, and select the best decision.
Formulate the hypotheses that can be used to determine whether the sample data support the hypothesis that the mean fuel efficiency rating for midsize cars is greater than the mean fuel efficiency rating for large cars.
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