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Review Qs MT2 101109 (1)

# Review Qs MT2 101109 (1) - MIDTERM EXAM PRACTICE QUESTIONS...

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MIDTERM EXAM PRACTICE QUESTIONS Chapters 9-12.4 STA 215 Lamps You might view this as a chance to view part of the exam in advance. I hope you find that useful and use it to learn the material and what might be expected on the exam. Solutions or hints to solutions are provided for many of the questions. Please do not expect me to add more solutions to this as well. You will be permitted to bring to the exam a single sheet (8-1/2 by 11) with any notes you wish (both sides). The exam will include a page with t * factors. SHOW ALL WORK. Use an appropriate number of significant digits. 1. (XX pts) Select the number of the best match from the right hand column (use each choice only once). a. ____ Estimate ± margin of error 1. Confidence interval b. ____ Interval that probably contains the population parameter 2. Confidence interval c. ____ Shows how accurate we believe our guess is 3. Margin of error d. ____ An observed effect is so large that it would rarely occur by chance 4. Statistically significant e. ____ The outcome of one trial must not influence the outcome of any other 5. Independen ce f. ____ As sample size increases, observed mean gets closer to population mean 6. Law of large numbers g. ____ Based on sample data, draw conclusions about a population 7. Statistical inference h. ____ The probability of observing the test statistic or something more extreme 8. p -value 2. DIST - Side 5 of a gambling device has a probability of .06. A gambler bets on side 5 in 200 consecutive throws. Describe the sampling distribution of . What are the data conditions regarding sample size? Are they met? What is the probability the gambler will win 7 or fewer of those throws? Ncdf(-9,-1.489) 3. DIST - Side 1 of a binder clip has a probability of .40. A gambler bets on side 1 in 100 consecutive throws. Describe the sampling distribution of .

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What are the data conditions regarding sample size? Are they met? What is the probability the gambler will win 45 or more of those throws? Normal, mean .4, s.d. .0490 4. Based on the 2000 Census, the proportion of the California population aged 15 years old or older who are married is p = .524. For a random sample of n = 1000 persons from this population, what is the mean of the sampling distribution of p-hat, the proportion of married people in the sample? 5. Based on the 2000 Census, the proportion of the California population aged 15 years old or older who are married is p = .524. For a random sample of n = 1000 persons from this population, what is the standard deviation of the sampling distribution of p- hat, the proportion of married people in the sample? 6. ___ 3 __ A statistic 1. n ___ 2 __ A parameter 2. p ___ 13 __ Mean of the sampling distribution of p 3. ___ 13 __ Standard deviation of the sampling distribution of p 4. np ___2__ Mean of the sampling distribution of 5. ___ 10 __ Standard deviation of the sampling distribution of 6. ___ 1 __ Sample size 7.
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