Choose the letter of the correct answer. (2 Points Each) I) in the past 75% of t
ID: 3228017 • Letter: C
Question
Choose the letter of the correct answer. (2 Points Each) I) in the past 75% of the tourists who visited Springfield went to see the Dr. Seuss museum. The vent of the Seuss vis mining whether the promotional we campaign. They P set of ampaign actually increased the proportion of tourists 0.75 hy 0.75 d. Hal P P 0,75 0.75 H. Paso, 75 201 believe my investment has decr in value from in a. set of hypotheses is 40.000. order to test the validity of my be b, He: 40,000 u w 40,000 Het M 40,000 H.: w 40,000 Hoa H 40,000 H. S40.000 He: 40,000 H.: H 40,000 3) A soft drink filling machine, when in perfect adjustment, fills the bottles with 12 ounces of soft drink. over filling or under filling the machine results in the shutdown and readjustment of the machine. To determine whether or not the machine is properly adjusted, the corect set of hypotheses is H H.: H s 2 H. 12 ca 12 H. He 12 2 H.: 12 4) A weatherman stated that the average temperature during July in Springfield does not reach 80 degrees. A sample of 32 Julys is taken. The set of hypotheses is a. He: 80 H u 80 b Ho: 80 H.: 80 Ho: 80 H.: u, 80 d, He: H 80 H. H 80 v 5) A headache medication provides relief for 78% ofthe people who use it. The company tests a new drug and has a p-value of0.134. What does this mean? A. There is 13.4% chance that the new drug is more effective. B. There is a 13.4% chance that natural sampling variation could produce results like these if there really is no difference in the effectiveness. C. There is an 86.6% chance that the new drug is more effective. D. There is a 13.4% chance that the testing was done correctly. 6) The null hypothesis says the two means are equal; the altemative hypothesis states that they are not equal. If this is tested at a 5% significance level and we get a p value of 0.02, this means: indicates data are unlikely assuming a true null it can't evaluate which of two hypotheses more likely. B. Since we have a low p-value, this difference is important it does. C. There is 2% probability no difference exists, and 98% probability D. The p-value is low, so the alternative hypothesis is true.Explanation / Answer
5. Option A is correct: 13.4% chance that new drug is more effective
6.Option D is correct P-value < alpha we reject null and accept alternative hypothesis
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