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11.Based on the results of 400 registered 1. The time taken in any exam is an example of a: (a) discrete variable (b) continuous variable

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11.Based on the results of 400 registered
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1. The time taken in any exam is an example of a: (a) discrete variable (b) continuous variable (c) categorical variable (d) constant 2. The flag colors is an example of a: (a) discrete variable (b) continuous variable (c) ordinal variable (d) nominal variable 3. The body style of an automobile (sedan, coupe, wagon, etc.) is an example of a: (a) discrete variable (b) continuous variable (c) categorical variable (d) binary variable 4. The weights of 20 students is an example of a: (a) discrete variable (b) continuous variable (c) categorical variable (d) constant 5. The portion of the population that is selected for analysis is called: (a) a sample (b) a frame (c) a parameter (d) a statistic 6. A summary measure that is computed from only a sample of the population is called: (a) a parameter (b) a population (c) a discrete variable (d) a statistic 7. Statistical inference occurs when you: (a) compute descriptive statistics from a sample (b) take a complete census of a population (c) present a graph of data (d) take the results of a sample and draw conclusions about a population 8. The human resources director of a large corporation wants to develop a dental benefits package and decides to select 100 employees from a list of all 5,000 workers in order to study their preferences for the various components of a potential package. All the employees in the corporation constitute the ............ (a) sample (b) population (c) statistic (d) parameter 9. The human resources director of a large corporation wants to develop a dental benefits package and decides to select 100 employees from a list of all 5,000 workers in order to study their preferences for the various components of a potential package. The 100 employees who will participate in this study constitute the (a) sample (b) population (c) statistic (d) parameter 10. Those methods involving the collection, presentation, and characterization of a set of data in order to properly describe the various features of that set of data are called: (a) statistical inference (b) the scientific method (c) sampling (d) descriptive statistics voters, the conclusion that the Republican candidate for U.S. president will win the upcoming election is an example of: (a) inferential statistics (b) descriptive statistics (c) a parameter (d) a statistic 12. Which of the following is a continuous variable? (a) The eye color of children eating at a fast-food chain (b) The number of employees of a branch of a fast-food chain (c) The temperature at which a hamburger is cooked at a fast-food chain branch (d) The number of hamburgers sold in a day at a branch of a fast-food chain 13. The number of students in stat. exam is an example of a (a) discrete variable (b) continuous variable (c) ordinal variable (d) nominal variable 14. A summary measure that is computed from a population is called: (a) a parameter (b) a population (c) a discrete variable (d) a statistic 15. Given categorical data A, E,C,D,F, B, C, B, A, C, B, F, B, C, D, in pie chart the angle value for C is (b) 90 (c) 720 (d) 120 (a) 96 Part II: Give the answer for the following: 1. The following scores represent the examination grades for an elementary statistics course: 22 30 49 16 27 5 49 42 49 32 12 36 38 47 10 21 25 41 15 29 45 35 26 42 15 17 9 35 28 25 40 16 38 41 19 28 Class Free in Relative free Cumulative free a) Fill the blanks in the above table. b) Plot the frequency polygon. Answer: 2. Represent the following data using : a) Bar chart b) Pie chart Grade ABCDF Students 2 4 6 5 3 Answer: 3. Represent the following data using stem and leaf plot, 23, 35, 22, 12, 16, 18, 29, 30, 3, 42, 51, 62, 60, 44, 57, 52, 37, 40, 43, 55 Answer: 4. Represent the following data using dot plot, 1, 3, 4, 5, 4, 3, 4, 5, 6, 2, 2, 5, 6, 6, 6, 3, 2, 3, 4, 1, 2, 1, 2, 3, 4, 5, 6, 4, 5, 2 Answer: 5. Organize the following data in a frequency table using 7 classes then plot the histogram 10 23 28 29 30 30 25 12 34 34 31 32 36 37 37 15 44 48 38 43 51 55 37 19 58 60 26 23 47

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