1. The impact on sampling of increasing the sample size is:

Select one:

A.the amount of sampling error is always reduced.B.the potential for extreme sampling error is reduced.C.the sample mean will always be closer to the population mean.D.There is no specific relationship between sample size and sampling error.

2. What sample size would be required to translate a population standard deviation from 2.9 to a standard error of the mean that is 1/10of the standard deviation? Select one: A.100 B.10 C.0.841 D.1000

3. Which of the following distributions is most likely to approach a normal distribution? Select one: A.distribution of all possible sample means of sample size 30 B.distribution of all possible sample means of sample size 60 C.distribution of all possible sample means of sample size 90 D.distribution of all possible sample means of sample size 120 4. The average score of all golfers for a particular course has a mean of66and a standard deviation of3.5. Suppose49golfers played the course today. Find the probability that the average score of the49golfers exceeded67. Select one: A..1293 B..4772 C..0228 D..3707 5. A recent poll of 120 adults who frequent the local farmers market found that 54 have purchased reusable cloth bags for their groceries. Based on these data, what is the margin of error for a 95% confidence interval of the proportion of adults who have purchased reusable cloth bags? Select one: A.0.0432 B.0.0117 C.0.0454 D.0.089 E.0.075 6.The Central Limit Theorem is considered powerful in statistics because __________. Select one: A.it works for any sample size provided the population is normal B.it works for any sample provided the population distribution is known C.it works for any population distribution provided the population mean is known D.it works for any population distribution provided the sample size is sufficiently large 7. Automobile mechanics conduct diagnostic tests on 150 new cars of particular make and model to determine the extent to which they are affected by a recent recall due to faulty catalytic converters. They find that 42 of the new cars tested do have faulty catalytic converters. The 99% confidence interval for the true proportion of new cars with faulty catalytic converters is Select one: A.0.2434 to 0.3166 B.0.1660 to 0.3940 C.0.2081 to 0.3519 D.0.1856 to 0.3744 E.0.1243 to 0.4123 8. Regarding the standard error of the mean, ________. Select one: A.as the sample size increases, the standard error increases B.it is defined as one-half of the population standard deviation C.as the sample size increases, the standard error decreases D.as the sample size decreases, the standard error decreases 9. Suppose a random sample of n measurements is selected from a binomial population with probability of success p=.32. Given n= 400, describe the shape, and find the mean and the standard deviation of the sampling distribution of the sample proportion,. Select one: A.skewed right;128,9.33 B.approximately normal;0.32,0.0005 C.approximately normal;0.32,0.023 D.skewed right;0.32,0.023 10.One year, the distribution of salaries for professional sports players had mean$1.6million and standard deviation$0.7million. Suppose a sample of100major league players was taken. Find the approximate probability that the average salary of the100players that year exceeded $1.1 million. Select one: A.approximately 1 B..7357 C..2357 D.approximately 0

11.McCain Foods (Canada) of New Brunswick produces frozen French fries. Suppose one line of fries has an average length of 7.62 centimetres with a standard deviation of 1.27 centimetres. To make sure that the quality standard is met, they plan to select a random sample of n=100 fries each day. Yesterday, the sample mean was 7.75 centimetres. What is the probability that the mean would be 7.75 centimetres or more if they are meeting the quality standards? Select one: A.0.0398 B.0.3413 C.0.4602 D.0.6587 E.0.1539

12.Which of the following statements is false? Select one: A.Increasing the sample size will reduce the potential for extreme sampling error. B.There is no way to prevent sampling error short of taking a census of the entire population. C.Increasing the sample size will always reduce the size of the sampling error when the sample mean is used to estimate the population mean. D.Sampling error can occur whendiffers from due to the fact that the sample was not a perfect reflection of the population.

13.The Central Limit Theorem is important in statistics because _____. Select one: A.for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size B.for any size sample, it says the sampling distribution of the sample mean is approximately normal C.for a largen, it says the population is approximately normal D.for a largen, it says the sampling distribution of the sample mean is approximately normal, regardless of the population