Chapter 1 1. Explain the difference between a population and a sample (from a statistical point of view). (4pts) 2. Explain the difference between quantitative variable and qualitative variable. (4pts) 3. Explain the difference between descriptive statistics and inferential statistics. (4pts) Chapter 2 1. For a dataset, without constructing of the frequency distribution table; how to obtain the class width of frequency distribution table if the number of classes is given? (2pts) Note: Use the formula in the slides; here frequency distribution table is not provided. 2. Explain the difference between a frequency distribution table and a relative frequency distribution table (4pts) Chapter 3 1. Explain the difference between mean and median. Is mean always larger than median? (4pts) 2. Explain the difference between and x . How do you determine which is appropriate to use in a problem? (4pts) 3. Explain the difference between and s. How do you determine which is appropriate to use in a problem? (4pts) 4. What is the relationship between variance and standard deviation? (2pts) 2 5. Explain the difference between range and interquartile range. (4pts) 6. Explain what the coefficient of variation is. What is the advantage of using it compared to standar
d deviation? (4pts) Chapter 4 1. Explain the meaning of Event with equally likely outcomes. (4pts) 2. Explain the difference between joint(nonexclusive) events and disjoint(mutually exclusive) events. (4pts) 3. Explain the difference between P(A) and P(A|B). What does it mean if they are equal in value? What does it mean if they are unequal in value? (4pts) 4. Explain the difference between P(A|B) and P(B|A). Must they be equal in value? (4pts) 5. Explain the difference between Permutation and Combination. (4pts) Chapter 5 1. Explain what a discrete random variable is. List examples.(4pts) 2. What are the requirements for a discrete probability distribution? (4pts) 3. Explain what binomial probability distribution is. Hint: list requirements in slides.(4pts) Chapter 6 1. Explain what a continuous random variable is. List examples. (4pts) 2. Explain some basic characteristics of Normal Distribution. (4pts) 3. What is the standard Normal Distribution? (2pts) 4. Explain the difference between a raw score (x value) and a standard score(z value). (4pts) 5. How to convert a raw score to a standard score; and how to convert a standard score to a raw score? (4pts) 3 6. Explain how to use Table 2 for each of the following intervals: a) z a (more than) c) a