Answer :
If there are outliers ( extreme values ) in a sample,
d. The standard deviation will be larger than expected ( larger than if there were no outliers ) is ALWAYS true.
If there are outliers (extreme values) in a sample, which of the following is ALWAYS true?...
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
1. All of the following are characteristics of the standard deviation except? A. The lower the standard deviation, the more similar the observations in the dataset. B. Is a measure of the spread of a dataset C. Is robust to outliers D. Is always positive E. Is the square root of the sample variance 2. Two events are mutually exclusive if A. They are not independent B. Their union equals zero C. ...
Which of the following are true? A. At least one quarter of the data values for D3 are less than the median value for D2 B. At least three quarters of the data values represented in D1 are greater than the median value of D3 . C. The data represented in D2 is symmetric. D. All the data values for boxplot D1 are greater than the median value for D2 . E. The data for D1 has a greater median...
Cholesterol levels are measured on a random sample of 1,000 persons and sample standard deviation is calculated and standard error of the sample mean is also calculated. Suppose a second survey were repeated in the SAME population, but the sample size tripled to 3,000 persons. 1. The sample standard deviation of the second sample is going to be smaller than that of the first sample. A. True B. False 2. The sample mean of the second sample is going to...
For each of the following statements, identify whether the statement is true or false, and explain why. Please limit each response to no more than 2 sentences. a) The probability that a continuous random variable takes a specific value is 0. b) Statistical inference is the process of drawing conclusions about unknown statistics by using known parameters. c) The terms “histogram” and “bar graph” are synonyms. d) If two events A and B are independent, then there is no overlap...
15. Which of the following is not a measure of location? (a) mean (b) median (c) variance (d) percentile (e) quartile 16. Which of the following statements is false? (a) the median is a measure of central tendency (b) quartiles are not measures of central tendency (c) the 50th percentile is the median (d) an extreme value is likely to have a greater effect on the median than the mean (e) the 25th percentile is the first quartile (Q1) Indicate...
The data from a simple reaction-time experiment show a sample mean of ¯x = 325 milliseconds and a standard deviation of s = 28. The distribution of the data is unimodal and positively skewed. The median reaction time is (a) The median is same as mode (b) The median is larger than mean (c) The median is same as mean (d) The median is smaller than mean (e) none of these Explain why ?
Question 4 Which statement is NOT correct? OA. The IQR is not sensitive to outliers B. If the data are skewed to the right, then the mean is smaller than the median. C. If the data are skewed to the right, then the mean is pulled to the right. D. The mean is best used for normall distributed data
Which of the following is true about the distribution of sample means? a.) The mean distribution of sample means is normally less than the population mean. b.) The mean distribution of sample means is more variable than population means. c.) The mean distribution of sample means is normally greater than the population mean. d.) The mean distribution of sample means is the same as the population mean.
Which of the following is TRUE? a. The p-value should always be larger than the selected level of significance. b. If the p-value is smaller than the level of significance, then do not reject the alternate hypothesis. c. If we reject the null hypothesis, it is possible that p-value is larger than the selected level of significance. d. If the p-value is larger than the level of significance, then do not reject the null hypothesis.