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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.
I have five simple scenarios that state a problem, gives the p-value from an appropriate hypothesis test. For each scenario, I need to state the null and alternate hypotheses and use the given p-value to:
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.
Find the critical value for a two tailed F-test with alpha=.05 when the sample size from which the variance for the numerator was obtained was 21 and the sample size from which the variance for the denominator was obtained 12
For each exercise, classify the data as quantitative or qualitative.
Write a sentence showing how the outcome of the hypothesis test and the measure of effect size would appear in a research report.
A data sample is sorted into a 3 × 2 contingency table based on two factors, one of which has three levels and the other of which has two levels.
Assuming that both patients are on time, find the expected amount of time that the 1:30 appointment spends in the doctor's office.
A real emergency situation is a rare event, with a probability 0.004. Given that the alarm has just sounded, what is the probability that a real emergency situation exists?
An insurance company has gathered the following information regarding the number of accidents reported per day over a period of 100 days.
For Example, into what range of possible values should the sample proportion fall 95% of the time, according to the Empirical Rule?
a company manufactures 13 types of cars. prior to full-scale production 4 of each type are made and a sample of 5 cars
consider the following experiment a ball is drawn without replacement from an urn containing two red and three blue
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