Deck 6: Central Tendency

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Question
Data cleaning follows data input, which follows data coding.
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Univariate analysis is the study of two or more variables.
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Univariate, descriptive statistics are sometimes also called summary statistics.
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Data coding is the process of preparing data for input into statistical software programs.
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Data input is the process of identifying and removing reporting and recording errors.
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It is common practice to assume that unexamined data usually contain various errors that must be identified and removed.
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Summary statistics are used to highlight important features about unusual observations.
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The mean is often used when analyzing continuous variables.
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The mean and median should never be reported at the same time.
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The mean is a commonly used statistic involving nominal variables.
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The mean is defined as the sum of a series of observations, divided by the number of observations of an array.
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When data are missing, a common practice is to estimate their values and include them in data analysis.
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Problems pertaining to the data can complicate calculations of the mean.
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The median should always be used when a few very large or very small values affect estimates of the mean.
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The location of the median is half the distance from the observation with the average value.
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Examples of the median are common in demographic studies of income.
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The mode is defined as the most frequent (typical) value(s) of a variable.
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The mode is used with nominal-level data.
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Deck 6: Central Tendency
1
Data cleaning follows data input, which follows data coding.
True
2
Univariate analysis is the study of two or more variables.
False
3
Univariate, descriptive statistics are sometimes also called summary statistics.
True
4
Data coding is the process of preparing data for input into statistical software programs.
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5
Data input is the process of identifying and removing reporting and recording errors.
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6
It is common practice to assume that unexamined data usually contain various errors that must be identified and removed.
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7
Summary statistics are used to highlight important features about unusual observations.
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8
The mean is often used when analyzing continuous variables.
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9
The mean and median should never be reported at the same time.
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10
The mean is a commonly used statistic involving nominal variables.
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11
The mean is defined as the sum of a series of observations, divided by the number of observations of an array.
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12
When data are missing, a common practice is to estimate their values and include them in data analysis.
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13
Problems pertaining to the data can complicate calculations of the mean.
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14
The median should always be used when a few very large or very small values affect estimates of the mean.
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15
The location of the median is half the distance from the observation with the average value.
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16
Examples of the median are common in demographic studies of income.
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17
The mode is defined as the most frequent (typical) value(s) of a variable.
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18
The mode is used with nominal-level data.
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