Fall 07 Midterm

Fall 07 Midterm - BCOR 1020 Midterm Fall 2007 True/False:...

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BCOR 1020 Midterm Fall 2007 True/False: 1. Inferential statistics refers to using sample data to estimate unknown population parameters and drawing conclusions about populations whereas descriptive statistics refers to organizing, summarizing, and presenting data. (a) True (b) False 2. Categorical data cannot be represented using numbers. (a) True (b) False 3. The number of insurance claims processed at in a week is an example of discrete data. (a) True (b) False 4. Ordinal data are data that can be ranked. (a) True (b) False 5. Interval and ratio data are quantitative. (a) True (b) False 6. A volunteer collecting survey data from shoppers at the Flatirons mall is collecting a random sample of residents of Boulder County. (a) True (b) False 7. The Pareto chart is used to display the “significant few” causes of problems. (a) True (b) False 8. It is appropriate to use the Empirical Rule to describe a population that is left-skewed. (a) True (b) False 9. Given the sample data set 10, 5, 2, 6, 3, 4, 10, the standard deviation is 3.2. (a) True (b) False 10. The sum of all the probabilities of outcomes in a sample space equals one. (a) True (b) False 1
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( ) ( | ) ( ) P A B P A B P B = . (a) True (b) False 12. Two events are independent if P(C|D) = P(C). . (a) True (b) False 13. The compliment of an event A , denoted by ' A , has probability ) ( 1 ) ' ( A P A P - = . (a) True (b) False 14. A random variable is a function or rule that assigns a numerical value to each outcome in the sample space of a random experiment. (a) True (b) False 15. The expected value of a continuous random variable cannot be an integer. (a) True (b) False Identifying Distributions: In each of problems 16-19, a random variable or experiment will be described. Based on the description identify the appropriate probability model (distribution) from the following list. You may use one distribution more than once. (a) Normal Distribution (b) Binomial Distribution (c) Poisson Distribution (d) Exponential Distribution 16. Which probability model would best describe the number of accidents at the intersection of two streets over the course of a month? 17. Define X to be the number of tickets written for speeding out of the next 30 traffic violation tickets written by a police officer. The distribution on X is best described by which probability model? 18. For a randomly-selected customer placing a call to a customer-support center, the waiting time until s/he speaks to a customer service representative is best described by which probability model? 19. Which probability model best describes the distribution on the diameter of a tennis ball? 2
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This note was uploaded on 10/08/2009 for the course BCOR 2200 taught by Professor Tomnelson during the Spring '08 term at Colorado.

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Fall 07 Midterm - BCOR 1020 Midterm Fall 2007 True/False:...

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