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The word ginormous was added to the Merriam-Webster Dictionary a few years ago. AOL conducted an online poll in which internet users were asked "What do you think of the word 'ginormous'?" Among the internet users who chose to respond, 12,908 gave the word the thumbs up while 12,224 other users gave it a thumbs down. What do these results tell us about how the general population feels about the word ginormous? What methods of statistics can be used with the sample data for inferences about the general population? Explain.
Find the probability of each event described.- The first two you grab are the wrong sizes.- The first medium shirt you find is the third one you check.
Would given change your P-value? Use a sketch of the distribution of the test statistic under the null hypothesis to illustrate and explain your answer.
The calculated Z test statistic is a positive value that leads to a p-value of .045 for the test. If the significance level (α) is .01, the null hypothesis would be rejected.
It is false that some recessions are not periods of economic decline. Therefore, it is false that no recessions are periods of economic decline.
You are running a chi-squared test. You have 2 groups with 3 characteristics each, what would your critical value be with an alpha of .025?
Suggest other situations in which selection bias could be important. Discuss how one might get unbiased data in these situations.
an instructor has given a short quiz consisting of two parts. for a randomly selected student let x the number of
A sample of 100 orders revealed that 82 were delivered within the promised time. At the 0.10 significance level, can we conclude that less than 90% of the orders are delivered in less than 10 minutes?
If a survey of 100 randomly selected united states residents is to be taken, what is the approximate probability that at least 60 will be under 31 years of age?
They want to be 95% confident in their estimate within 2.5% Assuming set up costs are expensive compared to the actual sampling, what size sample would then need to achieve these results at a 60% response rate?
Calculate the sample size needed given these factors:
suppose that in one region of the country the mean amount of credit card debt per household in households having credit
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