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| all members of an identifiable group |
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| choosing a subset such that all samples of specified size have equal |
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| choosing a subset that matches a specified population or other sample. |
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| a numerical or nominal characteristic of a population. |
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| a numerical or nominal characteristic of a sample. |
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| statistic that describes a sample |
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| statistic applied to a sample to infer a characteristic of a population. |
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| something that exists in more than one amount or form in a sample or population. |
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| variable that exists in different amounts |
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| variable that exists in difference kinds |
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| assigning numbers or names on the basis of observed variation. |
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| any inaccuracy in measurement |
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| Measurement Error, 3 Types: |
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Definition
Time-sampling error
Content-sampling error
Interscorer error |
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| spurious changes in performance measured at different points. |
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spurious changes in performance measured with different sets of items. |
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spurious changes in performance measured by different scores. |
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| a variable controlled by an experimenter or allowed to vary naturally that may affect or be related to a dependent variable. |
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| a variable that may change or vary with changes in the independent variable |
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| an uncontrolled variable other than the independent variable that may impact the dependent variable. |
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| How do you decide which statistic to use? |
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| What kind of basic question is being asked. |
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| a scale of measurement that represents names (eg. Categories) and not quantities |
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| scale of measurement that represents rank but equal differences between numbers do not represent equal differences between the things measured. |
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| a scale of measurement for which equal differences between numbers represent equal differences between the things measured and with zero defined arbitrarily. |
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| a scale of measurement for which equal differences between the things measured and zero means that precisely none of the things measured is present. |
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| Grouped frequency distribution |
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Definition
| Same as simple but values (typically quantitative) are grouped into class intervals. |
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| A graph of a frequency distribution for quantitative variables |
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| A graph of a frequency distribution for qualitative variables (diff between this and histogram is this has space between the bars) |
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| A display of values arrayed into a stem and leaf. |
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| Advantage over histogram? |
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| You can see the actual values |
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| How symmetric is the distribution? |
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| normal curve, can fold in half |
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| tail points to high scores |
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| tail points to low scores |
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| How peaked is the distribution? |
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| leaps off page, lots in middle |
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| looks flat, lots towards edges |
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| Distribution of most frequent scores |
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| Modal Distribution: 3 types: |
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Definition
| Unimodal, bimodal, uniform |
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| (aka, rectangular distribution); equal probability of drawing something |
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| 3 Measures of Central Tendancy |
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Definition
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| Mode can be used for which scale? |
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Definition
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| Median can be used for which scales? |
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Definition
Ordinal
Interval
Ratio scales |
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| Mean can be used for which scales? |
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Definition
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| The mean is preferred over the median, which in turn is preferred over the mode because of the amount they are based upon If the distance is skewed or extreme scores are present, however, the median is preferred over the mean. Median is less affected by skewness or extreme scores. |
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| theoretical distribution of a statistic based on all possible random samples drawn from the same population. Used to determine probabilities. |
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| random fluctuations in statistics from sample to sample drawn from the same population. |
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| Standard Error of the Mean(SEM) |
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| standard deviation of a sampling distribution of the mean. |
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| H1- what you want to show |
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| H0 opposite of what you want to show |
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| the extent to which measures are consistent and repeatable |
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| the extent to which a measure actually measures what its supposed to. |
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