11) Ping Golf, Inc. conducts a study in which they use a probability sample of 600 golfers. They examine the data from the sample and calculate that 28 percent of them own Ping golf clubs. The 28 percent is: A) the average. B) the sample finding. C) the mean. D) the population parameter. E) the confidence interval. 12) Which of the following refers to a measure of the variability in a population based on the variability found in the sample? A) variance B) standard variance C) standard error D) confidence error E) standard difference 13) When computing standard error, if the variability increases, then the standard error: A) decreases. B) increases. C) remains the same. D) becomes null. E) is not affected because variability has nothing to do with standard error. 14) When computing standard error, if the sample size increases, then the standard error: A) decreases. B) increases. C) remains the same. D) becomes null. E) is not affected because sample size has nothing to do with standard error. 15) In order to estimate a population percentage, all that is needed is the: A) standard error and level of confidence. B) sample percentage and sample size. C) sample percentage and level of confidence. D) sample mean and same size. E) same mean and level of confidence. 16) If a researcher wishes to have a 95 percent confidence interval, then a standard error value of _________ is entered into the formula. A) 95 B) 1.0 C) 1.96 D) 2.58 E) 0.05 17) All other variables held constant, a 95 percent confidence interval will give us a(n) ________ range versus a 99 percent confidence interval. A) wider B) narrower C) more detailed D) more encompassing E) identical 18) A 99 percent confidence interval allows us to say that if we took many, many samples from the population: A) all of the samples would contain a range that included the population parameter. B) 99 percent of the samples would contain a range that included the population parameter. C) 99 percent of the samples would allow us to estimate the mean within + 1 percent. D) 1 percent of the samples would contain a range that included the population parameter. E) 1 percent of the samples would allow us to estimate the mean with + 1 percent. 19) The proper command sequence in XL Data Analyst to generate a confidence interval for a percentage is: A) “Confidence Intervalâ€, “Percentageâ€, select a variable, “OK†B) “Generalizeâ€, “Percentageâ€, select a variable, “OK†C) “Inferenceâ€, “Confidence Intervalâ€, “Percentageâ€, select a variable, “OK†D) “Inferenceâ€, “Percentageâ€, select a variable, “OK†E) “Generalizeâ€, “Confidence Intervalâ€, “Percentageâ€, select a variable, “OK†20) The proper command sequence in XL Data Analyst to generate a confidence interval for a mean is: A) “Confidence Intervalâ€, “Averageâ€, select a variable, “OK†B) “Generalizeâ€, “Meanâ€, select a variable, “OK†C) “Inferenceâ€, “Confidence Intervalâ€, “Averageâ€, select a variable, “OK†D) “Inferenceâ€, “Meanâ€, select a variable, “OK†E) “Generalizeâ€, “Confidence Intervalâ€, “Averageâ€, select a variable, “OKâ€