Chapter 1
1. Explain the difference between a population and a sample (from a statistical point of view).
Explain the difference between quantitative variable and qualitative variable.
Explain the difference between descriptive statistics and inferential statistics.
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? Note: Use the formula in the slides; here frequency distribution table is not provided.
Chapter 3
Explain the difference between a frequency distribution table and a relative frequency distribution table
1. Explain the difference between mean and median. Is mean always larger than median?
2. Explain the difference between µ and x . How do you determine which is appropriate to use in a problem?
Explain the difference between σ and s. How do you determine which is appropriate to use in a problem?
What is the relationship between variance and standard deviation? 2
5. Explain the difference between range and interquartile range.
6. Explain what the coefficient of variation is. What is the advantage of using it compared to standard deviation?
Chapter 4
Explain the meaning of “Event with equally likely outcomes”.
Explain the difference between joint(nonexclusive) events and disjoint(mutually exclusive) events.
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?
Explain the difference between P(A|B) and P(B|A). Must they be equal in value?
Explain the difference between Permutation and Combination.
Chapter 5
Explain what a discrete random variable is. List examples.(4pts)
What are the requirements for a discrete probability distribution? (4pts)
Explain what binomial probability distribution is. Hint: list requirements in slides.(4pts)
Chapter 6
Explain what a continuous random variable is. List examples. (4pts)
Explain some basic characteristics of Normal Distribution. (4pts)
What is the standard Normal Distribution? (2pts)
Explain the difference between a raw score (x value) and a standard score(z value). (4pts)
How to convert a raw score to a standard score; and how to convert a standard score to a raw score? (4pts) 3
Explain how to use Table 2 for each of the following intervals: a) z < a (less than) b) z > a (more than) c) a < z < b (between) Here a and b are constant z units. b is larger than a Describe the strategies we mentioned in class for theses 3 cases (6pts)
Explain what the Inverse Normal Distribution is. How would you figure out whether a problem is Normal Distribution type or Inverse Normal type? (4pts)