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To estimate p, you will use the proportion p hat = 150/250 of your sample who favored eliminating the carnival. The number p hat is a: bias statistic parameter mean To estimate p, you will use the proportion p hat = 150/250 of your sample who favored eliminating the carnival. A 95% confidence interval for the population proportion p is: 150 +/- .03 .6 +/- .03 .6 +/- .06 150 +/- .06 The variation from sample to sample when the poll is repeated is described by the standard deviation (1.5%). We would like this variation to be small, so that repeated polls give almost the same result. To reduce the standard deviation, we could use an SRS of size less than 1000. use an SRS of size greater than 1000. use a confidence level less than 95%. Both (b) and (c). If a significance test gives P-value 0.005, the margin of error is 0.005. the null hypothesis is very likely to be true. we do have good evidence against the null hypothesis. we do not have good evidence against the null hypothesis. If a significance test gives a P-value of 0.50, the margin of error is 0.50 we do not have good evidence against the null hypothesis we do have good evidence against the null hypothesis the null hypothesis is very likely to be true If I toss a fair coin five times and the outcomes are TTTTT, then the probability that tails appears on the next toss is . 0.5 less than 0.5 greater than 0.5 1 # of people Probability A household is a group of people living together at the same address. Choose one American household at random and record how many people it contains. Here are the probabilities: What is the probability that the household chosen contains only one person? 1 ? .15 .25 .35 .75 .32 2 .17 3 .16 4 .07 5 .02 6 ≥7 .01 # of people Probability What is the probability that a randomly chosen household contains 4 or more people? A household is a group of people living together at the same address. Choose one American household at random and record how many people it contains. Here are the probabilities: 1 ? .32 2 .17 3 .10 .16 .26 .90 .16 4 .07 5 .02 6 ≥7 .01 One digit simulates one shot; 4 and 7 are a hit, other digits are a miss. Two digits simulate one shot; 00 to 47 are a hit and 48 to 99 are a miss. One digit simulates one shot; odd digits are a hit and even digits are a miss. Two digits simulate one shot; 00 to 46 are a hit and 47 to 99 are a miss. A basketball player makes 47% of her shots from the field during the season. To simulate whether a shot hits or misses y ou would assign random digits as follows: A grocery chain runs a prize game by giving each customer a ticket that may win a prize when a box is scratched. Printed on the ticket are the following probabilities for a customer who shops once a week: Amount won $500 $50 $10 Probability .01 .05 .20 .50 .26 .74 .69 What is the probability of winning nothing? A grocery chain runs a prize game by giving each customer a ticket that may win a prize when a box is scratched. Printed on the ticket are the following probabilities for a customer who shops once a week: Amount won $500 $50 $10 Probability .01 .05 .20 $9.50 $54.50 $560.00 $0.26 What is the expected value of a customer's winnings in this game? |