Ch. 1: Conceptual Questions

**
Question 1**.
Use the information in Table 1.6 of page 22 to answer these questions.

1. What is the population of interest for this study?

2. What is the population size (N)?

3. What is the sample size (n)?

4. How many variables are associated with the dataset?

5. Which variables are (i) Quantitative and why? (ii) Qualitative and Why?

6. Is the dataset a time-series or cross-sectional? Why?

7. What percentage of the cars are 'Compact'?

Hint: use the following coding scheme: Compact-coded = 1 if a car is
Compact.

= 0 if otherwise.

(i.e. a car is Large or Midsize).

8. What percentage of the cars use 'Regular' gas?

Hint: use the following coding scheme: Regular-coded = 1 if a car uses
Regular gas.

= 0 if otherwise.

(i.e. a car uses Premium or Diesel).

9. You are paid to find the average highway MPG of all cars, regardless of
brand.

a. What is the parameter of interest for this study?

b. Which 'statistic' would you use for making inference about the parameter?

c. Discuss briefly the inferential process.

Hint: Highlight the key ideas of statistical inference in your
discussion.

**Question 2.** Do problem # 13, p. 25.

**
Chs. 2 &
3: Applications of Descriptive Statistics **

**
Question 1**.
Problem # 23, p. 54.

a. Question in the text (Hint: Use a class width of 3 and the first class
from 0 - 2.9)

b. Question in the text

c. Question in the text

d. Question in the text

e. From the histogram, describe the type of skewness in the distribution
data

f. Compute the basic statistics (mean. median, mode, standard deviation,
coefficient of skewness) for PC usage (in hours) during a week.

i. Examine the coefficient of skewness. Does it support your answer for
part 'e'? Please explain.

ii. Are there outliers in the data? Please justify.

Hint: Compute the standardized value or Z-score for the lowest and
the highest values in the data. **
Question 2.**
Consider the following dataset:

Wife's Age |
22 |
27 |
25 |
32 |
34 |
25 |

Husband's Age |
24 |
33 |
28 |
30 |
40 |
25 |

**
1**.
Use the mean age to explain the distribution of age among the wives vis-a-vis
the husbands

**2**. Use the median age to explain the distribution of age among the wives
vis-a-vis the husbands

**3**. What are the social implications of your findings in parts1 and 2
above?

**4**. Is the relative spread in the ages of women greater or smaller than
the relative spread in the ages of men? Use the coefficient of variation to
justify your answer.

Hint: Use the coefficient of variation.

**
Ch. 4:
Probability Problems
Question.
**A financial
manager made two investments - one in oil industry, and one in the municipal
bonds. After a one-year period, each of the investments will be classified as
either successful (S) or unsuccessful (U). Consider the making of the two
investments as an experiment.

1. This experiment involves how many steps?

2. How many experimental outcomes are possible for this experiment?

3. (a). Use a tree diagram to show all the possible outcomes; (b) List the outcomes in the standard format.

4. What is the probability that only one investment will be successful after one year?

5. What is the probability that none of the investments will be successful after one year?

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Last revised:
Tuesday, May 18, 2021.**