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1 A histogram is also known as a a Pie

1. A histogram is also known as a:

a. Pie chart

b. Line chart

c. Bar chart

d. Distribution chart

2. When creating a histogram, a key consideration is the definition of the intervals.

a. True

b. False

3. A forensic accountant will normally construct a number of preliminary histograms to determine the appropriate intervals to use for presenting the data to others.

a. True

b. False

4. Absolute frequency is defined as:

a. Standard deviation of a population

b. The derivation of all observations within an interval

c. The sum of all observations within an interval

. The total count of all observations within an interval

5. Relative frequency is the percentage of the total number of observations that fall within an interval.

a. True

b. False

6. Relative frequencies are useful in statistics because they can be interpreted as:

a. Standard deviations

b. Deductions

c. Inferences

d. Probabilities

7 A measure of the degree of asymmetry of a data distribution around its mean is termed:

a. Skewness

b. Robustness

c. Standard deviation

d. None of the above

8. A distribution that is more weighted toward smaller numbers is:

a. Incorrectly constructed

b. Positively skewed

c. Negatively skewed

d. Skewered

9. Items comprising a discrete distribution are countable and have no discrete separation between successive values.

a. True

b. False

10. The most prominent continuous distribution in statistics is:

a. Standard deviation

b. Bayesian distribution

c. Normal distribution

d. Applied distribution

a. Pie chart

b. Line chart

c. Bar chart

d. Distribution chart

2. When creating a histogram, a key consideration is the definition of the intervals.

a. True

b. False

3. A forensic accountant will normally construct a number of preliminary histograms to determine the appropriate intervals to use for presenting the data to others.

a. True

b. False

4. Absolute frequency is defined as:

a. Standard deviation of a population

b. The derivation of all observations within an interval

c. The sum of all observations within an interval

. The total count of all observations within an interval

5. Relative frequency is the percentage of the total number of observations that fall within an interval.

a. True

b. False

6. Relative frequencies are useful in statistics because they can be interpreted as:

a. Standard deviations

b. Deductions

c. Inferences

d. Probabilities

7 A measure of the degree of asymmetry of a data distribution around its mean is termed:

a. Skewness

b. Robustness

c. Standard deviation

d. None of the above

8. A distribution that is more weighted toward smaller numbers is:

a. Incorrectly constructed

b. Positively skewed

c. Negatively skewed

d. Skewered

9. Items comprising a discrete distribution are countable and have no discrete separation between successive values.

a. True

b. False

10. The most prominent continuous distribution in statistics is:

a. Standard deviation

b. Bayesian distribution

c. Normal distribution

d. Applied distribution

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