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For many years TV executives used the guideline that 30 percent of the audience was watching each of the prime-time networks and 10 percent were watching cable stations on a weekday night. A random sample of 500 viewers in the Tampa-St. Petersburg, Florida, and area last Monday night showed that 165 homes were tuned in to the ABC affiliate, 140 to the CBS affiliate, 125 to the NBC affiliate, and the remainder was viewing a cable station. At the .05 significance level, can we conclude that the guideline is still reasonable?
Compute cumulative probabilities for these numbers in second column. Then create a histogram illustrating data distribution. Using generated Normal probability table, determine probability of Pr(X
An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of two emails per hour. Suppose the arrival of these emails is approximated by the Poisson distribution.
What should the cut-off score be for the interviews? (Round to nearest whole number).
Create a 90% confidence interval for proportion of all kernels that would not pop.
Compute mean and standard deviation for sample of N = 8 females and sample of N = 8 for males.
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
Using the .05 level of significance: a) Is there a difference among types of gasoline? b) Is there a difference in the cars?
Use this information to make a 95% confidence interval to evaluate true average number of copies made each day at this company.
When the level of confidence and sample size remain the same, a confidence interval for a population proportion π will be __________ when p(1-p) is larger than when p(1-p) is smaller.
Formulate the hypotheses to determine whether or not the lathe is in perfect adjustment.
Compare value of test statistics F obtained in part(2) with value of t 2 , square of test statistic for testing H 0 : β 1 =0 that was needed in test null hypothesis that true slope is 0. Interpret the results of this test.
What is the probability that both defective lights will be found within three trials?
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