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1 of 11 What is true about the following distribution (shown as a normal probability plot)? Nomal Score 3 2 1 -1 -2 -3 700 800 900 1000 1100 1200 1300 1400 1500 Weekdy Income (Dollars) O It comes from a normal distribution O It contains an outlier O It is an example of a dot plot It may not be normally distributed10 of 11 Scores on a certain test are normally distributed with a standard deviation of 13. A researcher wishes to estimate the mean score achieved by all adults on the test. Find the sample size needed to assure with 99 percent confidence that the sample mean will not differ from the population mean by more than 5 units. 07 O 37 O 45 202511 of 11 The monthly earnings of a group of business students are normally distributed with a standard deviation of $594. A researcher wishes to estimate the mean monthly earnings of business students. Find the sample size needed to have a confidence level of 90 percent confidence with a margin of error of $137. 02 05 34 512 of 11 The standard normal distribution is best represented by Z scores of -3 to 3 any distribution without outliers a uniform distributed set of data a mean standard score of 0 and standard deviation of 13 of 11 Find the area to the left of the curve for the following z score. Z = 1.12 0.1314 0.3686 0.6314 0.86864 of 11 Find the area under the curve between the following z scores. z = -1.31 and z = 0.53 C 0.2973 C 0.3931 0.6068 0.7036\f6 of 11 Which of the following values is closest to the area of the shaded part of the curve of the figure below? Assume the shaded area begins at z = 1.6 and ends at z = 3.2. -3.2 -1.6 1.6 3:2 0.0541 0.0548 0.9452 0 0.94597 of 11 What generally happens to the sampling error as the sample size increases? It gets smaller. It gets larger. O It stays the same. There is not enough information to determine.8 of 11 Which of the following describes how the central limit theorem can be used to illustrate the law of large numbers? O The smaller the sample size you take from a population, the closer the sample mean gets to the population mean. The larger the sample size you take from a population, the closer the sample mean gets to the population mean. O The larger the sample size you take from a population, the further the sample mean gets from the population mean. O The larger the sample size you take from a population, the further the sample mean gets from the standard deviation.9 of 11 The waiting times in minutes for a college statistics professor's office hours daily were: 10, 12, 20, 15, 17, 10, 30, 28, 35, 28, 19, 27, 25, 22, 33, 37, 14, 21, 20, and 23. Given that u = 22.3 and assuming o = 7.84, what is the 98% confidence interval for the population mean? 4.03 to 40.57 minutes O 18.2 to 26.4 minutes 18.8 to 25.8 minutes 20.55 to 24.05 minutes