QNT561 QNT 561 FINAL EXAM questions with correct answers

QNT561 QNT 561 FINAL EXAM 1) A difference between calculating the sample mean and the population mean is 2) Which of the following measures of central location is affected most by extreme values? 3) Which level of measurement is required for the median? 4) Which level of measurement is required for the mode? 5) In a set of observations, which measure of central tendency reports the value that occurs most often? 6) The weighted mean is a special case of the 7) The relationship between the geometric mean and the arithmetic mean is 8) Suppose you compare the mean of raw data and the mean of the same raw data grouped into a frequency distribution. These two means will be 9) In a set of 10 observations the mean is 20 and the median is 15. There are 2 values that are 6, and all other values are different. What is the mode? 10) Which of the measures of central tendency is the largest in a positively skewed distribution? 11) Which of the following is not a measure of dispersion? 12) A disadvantage of the range is 13) The mean deviation is 14) The standard deviation is 15) The variance is 16) In a positively skewed distribution 17) Which of the following statements is true regarding the standard deviation? 18) Under which of the following conditions would the standard deviation assume a negative value. 19) For a stem-and-leaf display 20) Reference: Ref4-1 Questions 2 to 6 refer to the following information. It reports the number of TV sets sold per day at the Appliance Center. 1 1 333 2 6 3 00234 4 5 1234 6 56788 7 8 8 This arrangement is called a 21) How many days were studied? 22) What was the smallest and largest number of sets sold per day? 23) How many days were there less than 30 sets sold? 24) The actual number of sets sold per day between 60 and 69 is 25) The quartile deviation is 26) In a symmetric distribution 27) A coefficient of skewness of -2.73 was computed for a set of data. We conclude that 28) A scatter diagram: 29) Which of the following is a correct statement about a probability? 30) An experiment is a 1) Which of the following is not a type of probability? 2) Events are independent if 3) The Special Rule of Addition is used to combine 4) We use the General Rule of Multiplication to combine 5) When we find the probability of an event happening by subtracting the probability of the event not happening from 1, we are using 6) When we determine the number of combinations 7) Bayes' Theorem 8) The difference between a permutation and a combination is: 9) The difference between a random variable and a probability distribution is B) . 10) Which of the following is not a requirement of a binomial distribution? 11) The mean and the variance are equal in 12) In which of the following distributions is the probability of a success usually small? 13) Which of the following is not a requirement of a probability distribution? .................................................continued.......................................