Deck 32: Statistics
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Deck 32: Statistics
1
The mean, mode, and median for the following distribution are__________, __________, and __________.
1, 2, 2, 3, 4, 5, 6, 3, 3, 5, 3, 3, 9, 10
A) Mean = 6.21, Mode = 2 and Median = 3
B) Mean = 4.21, Mode = 2 and Median = 3.5
C) Mean = 4.21, Mode = 3 and Median = 3
D) Mean = 6.21, Mode = 3 and Median = 3.5
1, 2, 2, 3, 4, 5, 6, 3, 3, 5, 3, 3, 9, 10
A) Mean = 6.21, Mode = 2 and Median = 3
B) Mean = 4.21, Mode = 2 and Median = 3.5
C) Mean = 4.21, Mode = 3 and Median = 3
D) Mean = 6.21, Mode = 3 and Median = 3.5
Mean = 4.21, Mode = 3 and Median = 3
2
It is common practice in Advertising and PR research to set the probability level used in hypothesis testing to__________.
A) .25
B) .95
C) .10
D) .05
A) .25
B) .95
C) .10
D) .05
.05
3
The __________ asserts that the statistical differences (or relationship) being analyzed are due to chance or random error.
A) Alternate hypothesis
B) Substantive hypothesis
C) Null hypothesis
D) Type I hypothesis
A) Alternate hypothesis
B) Substantive hypothesis
C) Null hypothesis
D) Type I hypothesis
Null hypothesis
4
The correlation between the amount of time spent reading newspapers and the amount of time watching television news is r = ?0.68. This represents a __________ negative correlation
A) Low
B) Moderate
C) Moderately high
D) High
A) Low
B) Moderate
C) Moderately high
D) High
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5
For children between the ages of 18 months and 29 months, there is approximately a linear relationship between "height" and "age." The relationship can be represented by: y = 64 + 0.60(x), where y represents height (in centimeters) and x represents age (in months). If Joseph is 20 months old, what is his predicted height?
A) 86 centimeters
B) 76 centimeters
C) 66 centimeters
D) 96 centimeters
A) 86 centimeters
B) 76 centimeters
C) 66 centimeters
D) 96 centimeters
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6
What is the commonly tolerated error in public relations and advertising?
A) 1%
B) 2%
C) 3%
D) 5%
E) over 10%
A) 1%
B) 2%
C) 3%
D) 5%
E) over 10%
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7
All the following are limitations of chi-square EXCEPT:
A) The categories must be mutually exclusive
B) Works only for nominal or ordinal levels
C) Shows the relationship between expected and observed frequencies
D) At least, five observations per category are required
A) The categories must be mutually exclusive
B) Works only for nominal or ordinal levels
C) Shows the relationship between expected and observed frequencies
D) At least, five observations per category are required
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8
Concerning basic correlational statistics which of these statements is correct.
A) A positive relationship in correlation statistics exists when one variable increases while the other decreases
B) A correlation of r = 0.00 means that there is no relationship between the two variables
C) Correlation is the same as cause and effect
D) The degree of correlation varies between 0.00 and +1.00
A) A positive relationship in correlation statistics exists when one variable increases while the other decreases
B) A correlation of r = 0.00 means that there is no relationship between the two variables
C) Correlation is the same as cause and effect
D) The degree of correlation varies between 0.00 and +1.00
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9
__________ is a value that shows the relationship between expected frequencies and observed frequencies.
A) t-test
B) Correlation
C) Chi-square
D) Simple linear regression
A) t-test
B) Correlation
C) Chi-square
D) Simple linear regression
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10
If the calculated chi-square value equals or exceeds the value found in the table, the differences in the observed frequencies are considered to be statistically significant.
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11
A p-level of 0.20 means that there is an 80 percent chance of making a right decision.
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12
The difference between a hypothesis and a research question is that hypotheses predict an outcome whereas research questions cannot.
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13
A correlation of 0.20 is considered very high.
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14
Commonly in advertising and public relations research, we want to be confident that our results are right, maybe, 70 percent of the time.
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15
Differentiate between correlation and regression.
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16
Calculate the measures of central tendency for the following scores: 62, 67, 71, 77, 81, 82, 88, 89, 90, and 96. If two new scores, 66 and 92, are added, how does it change the average and median?
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