Data-Based and Statistical Reasoning Flashcards

1
Q

Measurements of Central Tendency

A

Provide a single value representation for the middle of a group of data (mean, median, mode)

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2
Q

Measurements of Central Tendency

A

Provide a single value representation for the middle of a group of data (mean, median, mode)

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3
Q

Measures of Central Tendency

A

Provide a single value representation for the middle of a group of data (mean, median, mode)

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4
Q

Measures of Central Tendency

A

Provide a single value representation for the middle of a group of data

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5
Q

Arithmetic Mean (Average)

A

A measure that equally weighs all values; it’s most affected by outliers

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6
Q

Median

A

The value that lies in the middle of the data set; 50% of the data points are above and below the median

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7
Q

Median

A

The value that lies in the middle of the data set; 50% of the data points are above and below the median

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8
Q

Mode

A

The data point that appears most often; there may be multiple, or zero, modes in a data set

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9
Q

Mode

A

The data point that appears most often; there may be multiple, or zero, modes in a data set

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10
Q

Range

A

The difference between the smallest and largest number in a sample

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11
Q

Distribution

A

Classified by measures of central tendency and measures of distribution; it has a particular shape

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12
Q

Distribution

A

Classified by measures of central tendency and measures of distribution; it has a particular shape

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13
Q

Normal Distribution

A

Symmetrical, mean, median and mode are the same

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14
Q

Standard Normal Distribution

A

Normal distribution with a mean of zero and standard deviation of 1

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15
Q

Skewed Distribution

A

Have differences in their mean, median and mode; skew is in the direction of the tail

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16
Q

Bimodal Distribution

A

Multiple peaks; it may be useful to perform data analysis on the two groups separately

17
Q

Bimodal Distribution

A

Multiple peaks; it may be useful to perform data analysis on the two groups separately

18
Q

Measures of Distribution

A

Range
Interquartile Range
Standard Deviation
Outliers

19
Q

Interquartile Range

A

Difference between the value of the third quartile and the first quartile

20
Q

Interquartile Range

A

Difference between the value of the third quartile and the first quartile

21
Q

Standard Deviation

A

Measurement of the variability about the mean; it is used to calculate how much the data varies

22
Q

Standard Deviation

A

Measurement of the variability about the mean; it is used to calculate how much the data varies

23
Q

Outliers

A

A result of true population variability, measurement error or non-normal distribution

24
Q

Outliers

A

A result of true population variability, measurement error or non-normal distribution

25
Probability of Independent Events
Does not change based on the outcomes of other events
26
Probability of Dependent Events
Does change depending on the outcomes of other events
27
Mutually Exclusive Outcomes
Cannot occur simultaneously
28
Mutually Exclusive Outcomes
Cannot occur simultaneously
29
Hypothesis Tests
Use a known distribution to determine whether a hypothesis of difference (the null hypothesis) can be rejected
30
Hypothesis Tests
Use a known distribution to determine whether a hypothesis of difference (the null hypothesis) can be rejected
31
Null Hypothesis
States that two populations are equal or that a single population can be described by parameter equal to a given value
32
Correlation
Expresses a relationship between two sets of data using a single number
33
Positive Correlation
Indicates a positive association between the two variables; that is, when one variable increases the other also tends to increase as well
34
Negative Correlation
Indicates a negative association between the two variables; that is, when one increases the other tends to decrease or vice versa
35
Correlation does not imply causation
Conclusions cannot be drawn about behavioral problems based on correlation