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Given the following hypotheses: the true mean equals 100 (the null) and the true mean does not equal 100 (the alternate), a random sample of six resulted in the following values: 118, 105, 112, 119, 105, 111. Using = .05, can we conclude the true mean differs from 100? In the process of answering this question: a) state the decision rule, b) compute the value of the test statistic, c) make a decision, d) estimate (approximately at least) the p-value.
Calculate the population mean and compare it to the mean of the sampling distribution.
In exercise identify (a) sample and (b) population. Also, find whether sample is likely to be representative of population.
According to a hospital administrator, historical records over the past 10 years have shown that 20 percent of major surgery patients are dissatisfied with after-surgery care in the hospital. A scientific poll based on 400 hospital patients has ju..
What is the computed z-value for testing the null hypothesis that the proportion of successes in Population 1 exceeds the proportion of successes in Population
Explain the applications of statistics in your own field (Business Administration/Accounting) - Construct a stem and leaf display.
The probability is 1 in 4,000,000 that a single auto trip in the United States will result in a fatality. Over a lifetime, an average U.S. driver takes 50,000 trips. (a) What is the probability of a fatal accident over a lifetime? Describe your re..
Nationwide, the average time until a electric utility customer service representative answers a call is 260 second. The Gigantic Kilowatt Energy Company rnadomly sampled 30 calls and found that, on average, they were answered in 227 second with a ..
A leasing firm claims that the mean number of miles driven annually,M , in its leased cars is less than 13020 miles. A random sample of 90 cars leased from this firm had a mean of 12750 annual miles driven.
Suppose that you want to compare the mean size of health care claims submitted by five groups of policyholders. Ten claims are randomly selected from amongst the existing claims for each of the five groups. The data is shown in the following table..
a) Compute a 95% Confidence Interval for the true population proportion of successes. b) Based on this analysis can you conclude that the new system meets the requirement? Explain your conclusion.
If a student guesses on each question, what is the probability that the student will pass the test?
If garage is robbed, determine the probability doors were left open?
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