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The city council of a suburb of Columbus is interested in the level of public support for a new recreation center. A marketing research firm is selected which then selects a simple random sample of 50 adult residents and contacts each to determine whether the resident would be interested in joining this recreation center if it were built. Of these, 35 indicated they would be interested in joining the recreation center. The chance that all 50 residents in a neighborhood end up being the sample of residents selected is:
1) the population of the suburb divided by 50.2) the same as for any other set of 50 residents.3) smaller than average due to the "cluster" effect.4) smaller than average due to stratification.
Spinning a coin, unlike tossing it, may not give heads and tails equal probabilities. I spun a penny 200 times and got 83 heads. How significant is this evidence against equal probabilities?
For the samples summarized below, test the hypothesis that the two variances are equal, at α = 0.05
Data in table represent number of consumer complaints against major U.S. airlines. If one complaint from table is arbitrarily chosen, determine the probability that it was filed against United Airlines.
What is the probability that the person thinks that "Made in America" ads boost sales and uses social media online?
Can you describe in detail the differences in ANOVA and the five-step hypothesis testing method?
What is the probability that the graduate selected will be a male who is not a member of a sports team? What is the probability that the graduate will be either a female or a member of a sports team?
Test whether there is difference in the two population mean. Use p-value approach
A company that produces an expensive stereo component is considering offering a warranty on the component. Suppose the population of lifetimes of the components is a normal distribution with mean of 84 months and standard deviation of 10 months.
A researcher claims that the average age of people who buy theatre tickets is 51. A sample of 30 is selected and their ages are recorded as shown below.
Each home was 24 and the standard deviation of the sample was 5 people. Develop a 98 percent confidence interval for the population mean.
Suppose that a random sample of 800 early replacement buyers yields a mean number of dealers visited of 1 = 3.3, and that a random sample of 500 late replacement buyers yields a mean number of dealers visited of 2= 4.5.
Assume that a 95% confidence interval for the mean is 14.5
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