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A researcher believes that if she uses a different text the students will score differently on the standardized test but she doesn't know what the difference is. The test had a mean of 110 and a σ of 12. She tests a sample of 36 students and finds they score 112 on the test. Is this difference significant at the 5% level?
The proportion of parts in an inventory that are outdated and no longer useful is thought to be 0.10. To check this, a random sample of n = 100 parts is selected and 14 are found to be outdated. Based upon this information, what is the probability..
Do you think that all random samples taken from the same population will lead to the same result?
Assume that 60 percent of the voters in a particular region support a candidate. Find the probability that a sample of 1,000 voters will yield a sample proportion in favor of the candidate within 4 percentage points of the actual proportion.
What is the probability that the person thinks that "Made in America" ads boost sales and uses social media online?
Construct the 90 percent confidence interval for the proportion of checking account customers who have a Visa card with the bank. (Round your answers to 3 decimal places.)
To find the necessary sample size to achieve the given level of accuracy of prediction.
At the .01 significance level, is there a relationship between job pressure and age?
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group Perform the chi-square test for a uniform distribution at α = .01
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.
ABC Corporation of California publishes a variety of statistics, including the number of individuals who got a new job during the past 12 months and the mean length of time the individuals have been on the job.
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.
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