Millersville University of Pennsylvania - ENGL 316Practice Problems and Exams 2013>( DIVIDED INTO CHAPTERS WITH VERIFIED ANSWERS)

Document Content and Description Below

SECTION I: MULTIPLE-CHOICE 1. The universe or "totality of items or things" under consideration is called a) a sample. b) a population. c) a parameter. d) a statistic. 2. A summary measure that ... is computed to describe a characteristic of an entire population is called a) a parameter. b) a census. c) a statistic. d) the scientific method. 3. Which of the following is a discrete quantitative variable? a) The Dow Jones Industrial average b) The volume of water released from a dam c) The distance you drove yesterday. d) The number of employees of an insurance company 4. The classification of student class designation (freshman, sophomore, junior, senior) is an example of a) a categorical random variable. b) a discrete random variable. c) a continuous random variable. d) a parameter.3 SECTION II: TRUE OR FALSE 1. A sample is the portion of the universe that is selected for analysis. True 2. The possible responses to the question “How long have you been living at your current residence?” are values from a continuous variable. True 3. A continuous variable may take on any value within its relevant range even though the measurement device may not be precise enough to record it. True 4. Student grades (A to F) are an example of continuous numerical data. False 5. A statistic is usually unobservable while a parameter is usually observable. False 6. The answer to the question “How do you rate the quality of your business statistics course” is an example of an ordinal scaled variable. True 7. The type of TV one owns is an example of a numerical variable. False 8. Whether the university is private or public is an example of a categorical variable. True 9. The grade level (K-12) of a student is an example of a nominal scaled variable. False 10. The amount of water consumed by a person per week is an example of a continuous variable. True 11. To learn to use statistical programs, you need to understand the underlying statistical concepts. True4 The Islamic University of Gaza Faculty of Commerce Department of Economics and Political Sciences An Introduction to Statistics Course (ECOE 1302) Spring Semester 2009-2010 Chapter 3 - Numerical Descriptive Measures Practice Exam - Solution Instructors: Dr. Samir Safi Mr. Ibrahim Abed SECTION :I MULTIPLE-CHOICE 1. Which of the following statistics is not a measure of central tendency? a) Arithmetic mean. b) Median. c) Mode. d) Q3. 2. Which of the arithmetic mean, median, and mode are resistant measures of central tendency? a) The arithmetic mean and median only. b) The median and mode only. c) The mode and arithmetic mean only. d) All the three are resistant measures. 3. Which of the following statements about the median is not true? a) It is more affected by extreme values than the arithmetic mean. b) It is a measure of central tendency. c) It is equal to Q2. d) It is equal to the mode in bell-shaped "normal" distributions. 4. In a perfectly symmetrical distribution a) the range equals the interquartile range. b) the interquartile range equals the arithmetic mean. c) the median equals the arithmetic mean. d) the variance equals the standard deviation. 5. In general, which of the following descriptive summary measures cannot be easily approximated from a boxplot? a) The variance. b) The range. c) The interquartile range. d) The median. 6. Which descriptive summary measures are considered to be resistant statistics? a) The arithmetic mean and standard deviation. b) The interquartile range and range. c) The mode and variance. d) The median and interquartile range.5 7. In perfectly symmetrical distributions, which of [Show More]

Last updated: 2 years ago

Preview 1 out of 71 pages