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34 Cards in this Set
- Front
- Back
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Facts and figures in which conclusions can be drawn.
a) Variable b) Data c) Quantitative d) Sample |
b) Data
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Descriptions of characteristics that have no inherent numerical meaning. Numbers may or may not be assigned to the descriptions.
a) Dependent variable b) Independent variable c) Qualitative d) Quantitative |
c) Qualitative
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Data evaluated on a nominal scale are sometimes called ___________ because they describe a quality of the person or thing studied.
a) Quantitative b) Qualitative c) Independent variable d) Dependent variable |
b) Qualitative
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Characteristics measures on a numerical scale, the results have an inherent meaning.
a) Quantitative b) Qualitative c) Independent variable d) Dependent variable |
a) Quantitative
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Observations for which the differences between numbers have meaning on a numerical scale are sometimes called ___________ observations.
a) Quantitative b) Qualitative c) Independent variable d) Dependent variable |
a) Quantitative
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A characteristic of interest in a study that has different values for different subjects or objects.
a) outcome b) data c) sample d) variable |
d) variable
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The independent variable is:
a) measured on a numerical scale b) the outcomes in a study, response or criteron c) the explanatory or predictor variable in a study d) a subset of the population |
c) the explanatory or predictor variable in a study
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The dependent variable:
a) the outcomes in a study, response or criteron b) measured on a numerical scale c) the explanatory or predictor variable in a study d) a subset of the population |
a) the outcomes in a study, response or criteron
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Which of these is sometimes called the response or criteron variable?
a) independent variable b) dependent variable c) ordinal scale d) discrete scale |
b) dependent variable
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_________ level of measurement is used for the simplest level of measurement when data values fit into categories.
a) Nominal b) Ordinal c) Numerical d) none of the above |
a) Nominal
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This level of measurement is usually described in terms of proportion or percentages.
a) Ordinal b) Numerical c) Nominal d) all of the above |
c) Nominal
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55% male; 45% female is an example of what level of measurement?
a) Nominal b) Ordinal c) Numerical d) none of the above |
a) Nominal
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When an inherent order occurs among the categories, the observations are said to be measures on a(n)
a) nominal scale b) ordinal scale c) numerical scale d) discrete scale |
b) ordinal scale
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Which of the statements below best describes an ordinal scale?
a) variables that are ordered and have arithmetical relationship between the different classifications b) variables that are ordered but have no arithmetical relationship between the different classifications c) an inherent order occurs among the categories d) a & b e) b & c f) none of the above |
e) b & c
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"Agree, Neutral, Disagree" would be an example of a __________ scale.
a) Nominal b) Ordinal c) Numerical d) Continuous |
b) Ordinal
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Variables where the characteristics have numerical values and the difference between the numbers has meaning.
a) Ordinal b) Nominal c) Continous d) Numerical |
d) Numerical
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Which of the scales of measurement illustrates that there's difference between adjacent categories is the same throughout the scale.
a) Numerical b) Ordinal c) Nominal d) none of the above |
a) Numerical
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A "Hierarchial" scale is also called a(n)
a) nominal scale b) ordinal scale c) numerical scale d) discrete scale |
b) ordinal scale
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T/F?
The difference between adjacent categories is not the same throughout an ordinal scale. |
true
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T/F?
The difference between adjacent categories is not the same throughout a numerical scale. |
false
(they are the same) |
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T/F?
The median is less sensitive to extreme values than the mean. |
true
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If the outlying values for observations are small, the distribution is skewed to the
a) right, negatively b) left, negatively c) right, positively d) left, positively |
b) left, negatively
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If the outlying values for observations are large, the distribution is skewed to the
a) right, negatively b) left, negatively c) right, positively d) left, positively |
c) right, positively
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If the mean and the median are equal,
a) the distribution of observations is symmetric b) the distribution is skewed to the right c) the distribution is skewed to the left d) none of the above |
a) the distribution of observations is symmetric
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If the mean is larger than the median
a) the distribution of observations is symmetric b) the distribution is skewed to the right c) the distribution is skewed to the left d) none of the above |
b) the distribution is skewed to the right
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If the mean is smaller than the median
a) the distribution of observations is symmetric b) the distribution is skewed to the right c) the distribution is skewed to the left d) none of the above |
c) the distribution is skewed to the left
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T/F?
The mean is used for numerical data and for symmetric (not skewed) distribution. |
true
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T/F?
The mode is used for ordinal data or for numerical data if the distribution is skewed. |
false
(the median is...) |
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T/F?
The mode is used primarily for bimodal distribution. |
true
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T/F?
The median is generally used for observations measured on a log scale. |
false
(the geometric mean is...) |
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T/F
Regardless of how the observations are distributed, at least 75% of the values always lie between these two numbers: the mean minus 2 SDs and the mean plus 2 SDs. |
true
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T/F
For a bell-shaped distribution, approximately 67% of the observations lie between the mean +/- 2 SDs. |
false
(+/- 1 SD) |
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T/F
For a bell-shaped distribution, approximately 95% of the observations lie between the mean +/- 2 SDs. |
true
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T/F
For a bell-shaped distribution, approximately 97.9% of the observations lie between the mean +/- 3 SDs. |
false
(99.7%) |
