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Unformatted text preview: 1 Review for Exam 1 Chapter 1 1. Be able to define a population and a sample Homework: #5 2. Be able to identify data as being univariate, bivariate or multivariate. 3. Be able to identify the variable in a situation and determine whether it is categorical (ordinal vs. not ordinal) or quantitative (continuous vs. discrete). Homework: #1 4. Given a set of data, be able to interpret (note: interpret means describe the shape and determine if there are outliers) a histogram (using frequency and relative frequency) for both discrete, continuous and categorical data. Homework: 1.18, 5. Be able to describe the shape of the distribution a) number of peaks: unimodal, bimodal, multimodal b) symmetry: symmetric, positively skewed, negatively skewed Homework: #2 6. Be able to determine if a variable is discrete or continuous. 7. Be able to determine if a function is a density function: a) f(x) 0 ࠵ ) න ¡(¢)£¢ ∞ − ∞ = 1 Homework: 1.22 8. Be able to calculate a proportion (probability) and percentile from a density function. a) For any two numbers a < b ¤¥¦¤¦¥§¨¦© ¦¡ ª«¬®¯ ࠵®§°®®© « «©£ ࠵ = න ¡(¢)£¢ ࠵ « ࠵ ) න ¡(¢)£¢ ± −∞ = ¤®¥±®©§¨¬® Homework: 1.22, 1.24, #4 9. For the exponential distribution: Be able to use the density function to calculate proportions (probabilities) ¡(¢) = ൜ ²® −²¢ ¢ ≥ ¦§ℎ®¥°¨¯® Homework: 1.24, #9 10. For the uniform distribution: Be able to use the density function to calculate proportions (probabilities) ¡(¢) = ൝ 1 ࠵ − « « ≤ ¢ < ࠵ ¦§ℎ®¥°¨¯® Homework: 1.20 2 11. For the normal distribution: be able to use the ztable to calculate proportions (probabilities) and percentiles....
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 Spring '08
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 Statistics, Normal Distribution, Probability theory, representative

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