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1 | |
A basic difference between a bar chart and a histogram is: |
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| | A) | a bar chart consists of vertical bars whereas a histogram consists of horizontal bars. |
| | B) | a histogram is distributed normally whereas a bar chart is not. |
| | C) | a histogram doesn't have spaces between bars and also has a normal curve included in it. |
| | D) | a bar chart depicts absolute values whereas a histogram depicts relative magnitudes. |
| | E) | a histogram includes the history of past behavior whereas a bar chart depicts current data. |
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2 | |
It is generally recommended that a pie chart should not be split in more than ___ sections. |
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| | A) | 5 |
| | B) | 7 |
| | C) | 9 |
| | D) | 11 |
| | E) | 10 |
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3 | |
The range and standard deviation are: |
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| | A) | measures of location |
| | B) | measures of dispersion |
| | C) | measures of central tendency |
| | D) | measures of peripheral tendency |
| | E) | measures of local tendency |
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4 | |
What is the median for the following data set: 1,1,2,3,4,5,6,7,8,13. |
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| | A) | 1 |
| | B) | 4 |
| | C) | 5 |
| | D) | 4.5 |
| | E) | 50 |
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5 | |
What is the range for the following data set: 1,1,2,3,4,5,6,7,8,13. |
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| | A) | 1 |
| | B) | 12 |
| | C) | 13 |
| | D) | 1 to 13 |
| | E) | 5 |
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6 | |
Standard deviation is a measure of the average deviation around a distribution's: |
|
| | A) | mean |
| | B) | median |
| | C) | mode |
| | D) | range |
| | E) | variance |
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7 | |
Univariate tests of significance involve: |
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| | A) | hypothesis testing in situations where variance equals one |
| | B) | hypothesis testing using one variable at a time |
| | C) | hypothesis testing using analysis of variance for two or more variables |
| | D) | testing if sample variance is same as the population variance |
| | E) | testing if sample mean is the same as the population mean |
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8 | |
A z-test is preferred to a t-test whenever the sample size is larger than: |
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| | A) | 20 |
| | B) | 30 |
| | C) | 40 |
| | D) | 50 |
| | E) | 200 |
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9 | |
The term one-way ANOVA implies that: |
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| | A) | there is only one dependent variable |
| | B) | the null hypothesis is unidirectional |
| | C) | there is only one independent variable |
| | D) | there is only one way of analyzing variance in the data set |
| | E) | none of the above |
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10 | |
Which of the following statements is true about ANOVA: |
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| | A) | The independent variable in ANOVA must be categorical |
| | B) | The dependent variable in ANOVA must be interval scale |
| | C) | The dependent variable in ANOVA must be ratio scale |
| | D) | The dependent variable in ANOVA must be in the same form as the independent variable |
| | E) | All of the above |
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11 | |
In order to compare pairs of means for statistical differences while using ANOVA, one could do any of the following follow-up tests, EXCEPT: |
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| | A) | Tukey's test |
| | B) | Fischer's test |
| | C) | Scheffe's test |
| | D) | Duncan's test |
| | E) | Dunn's test |
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12 | |
The best measure of central tendency for a question on ethnic background is median. |
|
| | A) | True |
| | B) | False |
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13 | |
The best measure of central tendency for a question about income (response options were split into seven categories) is median. |
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| | A) | True |
| | B) | False |
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14 | |
Assume that a researcher compares the average number of cups of coffee consumed by students with the average number of soft drinks consumed per day by the same sample of students. The two samples are independent samples. |
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| | A) | True |
| | B) | False |
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15 | |
An F-test can help identify pairs of means that are significantly different from each other. |
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| | A) | True |
| | B) | False |