Question 1 10 Points (Choose the best option) The normal curves, shown above, differ: only in their means. only in their standard deviations. in both their means and standard deviations. in neither their means nor standard deviations. 2. Question 2 10 Points (Choose the best option) The parameters that determine the normal curve, shown above, appear to be: 3. Question 3 10 Points (Choose the best option) Say that, in the population of healthy adults, ages 25-34 years old, the distribution of fasting plasma glucose is normally distributed with a "true mean" of 90 mg/dL and a "true standard deviation" of 10 mg/dL. Then, we know that 68% of the population will have a fasting plasma glucose level between: 85 mg/dL and 95 mg/dL; 80 mg/dL and 100 mg/dL; 70 mg/dL and 110 mg/dL; 60 mg/dL and 120 mg/dL.

4. Question 4 10 Points (Choose the best option) Calcium is a nutrient that is essential in bone formation. However, some persons suffer from overly low calcium levels in their blood (hypocalcemia) and others suffer from overly high calcium levels (hypercalcemia). The normal range for serum calcium is (8.4 mg/dL, 10.6 mg/dL). This interval: had to be calculated as 2. had to be determined from a normal curve for serum calcium for the whole population represents where serum calcium levels fall for the "middle 95%" of healthy persons. provides a definitive diagnosis of individuals with hypocalcemia or hypercalcemia. 5. Question 5 10 Points (Choose the best option) Say that the "population mean" for fasting plasma glucose is known to be 90 mg/dL in healthy young adults. Thus, if a researcher selects a sample of N = 20 persons from the 25-34 year old population of healthy persons, measures fasting plasma glucose on each one, and calculates a sample mean of 89.2 mg/dL, the fact that this sample mean is not equal to 90 mg/dL reflects: sampling error. inappropriate reference to a sample statistic as a population parameter. fasting plasma glucose not following a normal distribution in the whole population. a large standard deviation parameter for fasting plasma glucose. 6. Question 6 10 Points (Choose the best option) A researcher gathers data and reports a "standard error of the mean" statistic for fasting plasma glucose of 2.5 mg/dL. To obtain this statistic she: could have measured fasting plasma glucose on only a single subject. most likely used only a single sample that included multiple subjects. had to use multiple samples with the same number of subjects in each one.

determined the "true" standard deviation of fasting plasma glucose from other sample-based studies. 7. Question 7 10 Points (Choose the best option) The SPSS output panel, above, comes from a study of fasting plasma glucose in a sample of N = 100 subjects. The value of the SEM statistic from this study implies: the average distance that values of fasting plasma glucose for individual subjects fell from the sample mean was 0.887 mg/dL. the average distance between the sample mean and the unknown true population mean is estimated to be 0.887 mg/dL. the average distance that values of fasting plasma glucose for individual subjects fell from the true population mean was 0.887 mg/dL. the standard deviation overstates dispersion of fasting plasma glucose levels around the sample mean. 8. Question 8 10 Points (Choose the best option) If one has calculated a standard deviation statistic for fasting plasma glucose of S = 10 in a sample of N = 100 subjects, then the SEM statistic in that study will be: 1 2 5 10 9. Question 9 10 Points (Choose ALL that apply).If the true mean of fasting plasma glucose in the population of healthy young adults is 90 mg/dL and the true standard deviation is 10. Then, the Central Limit implies that, across all possible samples of N = 100 healthy young adults: The distribution of will be approximately normally distributed.

The theoretical mean of the distribution of will be centered at 90 mg/dL. The theoretical standard deviation of will be . The standard error of the mean statistic will be close to 10, but generally not exactly equal to it due to sampling variation. 10. Question 10 10 Points (Choose ALL that apply.) A study of fasting plasma glucose levels in a sample of healthy young adults reports a 95% confidence interval for the population mean of (87.9 mg/dL, 92.4 mg/dL). This implies: 95% of healthy young adults have a fasting plasma glucose level between 87.9 mg/dL and 92.4 mg/dL. the normal range of fasting plasma glucose levels in healthy young adults goes from 87.9 mg/dL to 92.4 mg/dL the formula was applied to determine the boundaries of this range; there is a 95% chance that the interval includes the value of the true population mean for fasting plasma glucose.