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21 Cards in this Set
- Front
- Back
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Survey
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a study of one or more characteristics of a group
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Population
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entire group you want information about
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Sample
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a part of the population
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Census
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occurs when everyone in the population is contacted
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Random Sample
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every member of the population has an equal chance of being selected
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Representative Sample
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a sample that accurately reflects the characteristics of a population
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Biased Sample
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a sample that is not representative of the population
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Biased Question
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a question that encourages a particular response in the way that it is written
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Measures of Central Tendency
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Numbers that describe what is average or typical of the distribution - Measures that indicate the midpoint or central value of a distribution. These measures include the mean, median, and mode. (Mode is used best for non-numerical sets of data, Median is used best when there are outliers, Mean is used best when there are not outliers)
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Mean
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the average of a numerical data set, “ - 1) add all the data 2) divide by “how many numbers there are in the data”
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Median (Q2 )
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)– the middle number in an ordered set of data. If the data has an even number of values, add the two middle numbers together and divide by two.
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Mode
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the value(s) that occur most often
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Range
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it is the difference of the greatest value and the least value of a numerical set of data
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Mean Absolute Deviation (M.A.D)
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the average of the differences each data is from the mean 1) find the mean 2) subtract each number from the mean and write them as positive numbers 3) average those ‘differences’ together
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Box-and-Whisker- Plot
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a data display that separates the middle half of a set of data into a box and the lower and upper quartiles of a set of data into whiskers
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Upper Quartile (Q3 )
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the median of the upper half of the data
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Lower Quartile (Q1 )
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the median of the lower half of the data
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Interquartile Range (IQR)
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the difference between the Upper Quartile and the Lower Quartile IQR = Q3 – Q1
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Upper Extreme
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The greatest number in the data
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Lower Extreme
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the lowest number in the data
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Outliers
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– a data point that is much lower or higher than the rest of the data 1) find the IQR 2)multiply the IQR by 1.5 = w 3) Q3 – w = lower bound outliers Q1 + w = upper bound outliers 4) any numbers that lie outside the bounds, are outliers and are marked as such on the box-and-whisker-plot
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