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Alcohol appears to be involved in a variety of birth defects, including low birth weight and retarded growth. A researcher would like to investigate the effect of prenatal alcohol on birth weight. A random sample of n=16 pregnancy rates is obtained. The mother rats are given daily doses of alcohol. The average weight for the sample is x=15 grams. The researcher would like to compare the sample with the general population of rats. It is known that regular newborn rats (not exposed to alcohol) have an average weight of 18 grams. The distribution of weighs is normal with standard deviation=4.
Evaluate the effect of alcohol exposure on birth weight following the steps for hypothesis testing using .05.
The probability of success for any trial of a binomial experiment is 25%. Find the probability that the proportion of successes in a sample of 500 is less that 22%. Repeat with a sample of 800. Repeat with a sample of 1,000.
Assume that the mean SAT score in Mathematics for 11th graders across the nation is 500, and that the standard deviation is 100 points. Find the probability that the mean SAT score for a randomly selected group of 150 11th graders is between 475 a..
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
Ace Machine Works estimates that the probability its lathe tool is properly adjusted is 0.8. When the lathe is properly adjusted, there is a 0.9 probability that the parts produced pass inspection.
If absolute value of test statistic is less than critical value in hypothesis test decision is to?
a) Under what circumstances can z be greater than one? b) Under what circumstances can a probability be greater than one?
Explain the logic of what you have done to a person who is unfamiliar with the analysis of variance.
A random sample of 56 people measured accuracy w/ positive errors representing watches that are ahead of the correct time and negative rep. those behind the time.
The manufacturer of a coffee dispensing machine claims the ounces per cup is normally distributed with population mean equal to 8 ounces and standard deviation equal to 0.9 ounces. If 50 cups of coffee were measured, what is the probability that.
A beverage company is trying to ?nd out the distribution of the breaking strength of their glass bottles. Fifty bottles are selected at random and tested for breaking strength, with the following results (in pounds per square inch):
A random sample obtained from a population has a mean of µ=100 and a standard deviation of σ = 20. The error between the sample mean and the population mean for a sample of n = 16 is 5 points and the error between a sample men and population mean ..
Describe what assumptions must be met to use this test. Finally, where in your course project data set might you employ a paired t-Test?
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