WGU statistics Leave the first rating Students also studied Terms in this set (40) Save ap stats 7.2 19 terms gtgtgtgtgtgt2 Preview Stats Final 21 terms s346015Preview Which Test Decision?
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ib3536Preview Stats Fi 20 terms Ellio Practice questions for this set Learn1 / 7Study using Learn P(A and B) = P(A) x P(B) measures of spreadnumber of measures used to determine the distance of data from the center of the data set, such as range, standard deviation skewed rightthe long tail of the curve is on the positive side of the peak stem plotvisual representation of data in which individual data points are plotted to the right of a vertical line, chart, and the left shows the interval categories Choose an answer 1measures of spread2measure of central tendency 3multiplication rule for independent events 4standard deviation Don't know?
dot plotgraphical representation of data that plots frequency of data along a horizontal line standard deviationmeasure on average of how far the data points are from the mean skewed leftskewed distribution where the long tail of the curve is on the negative side of the peak outlierobservation point that is significantly distant from the other observations in the data set standard deviation rulestandard proportion/percentage of data points that lie within each standard deviation away from the mean for a normal distribution interquartile rangedifference, in value, between the bottom/top 25% of the sample/population distributionarrangement of values that illustrates their frequency/occurence centerone of three measures that describe what's normal in a data set- mean, median, mode five number summaryminimum, Q1, median, Q3, maximum measure of central tendencysummary measure that's used to describe an entire set of data with one value that represents the middle/center of the data set's distribution. mean, median, mode reliable datadata is both consistent/repeatable frequency dsitributionrecord of the number of times data occurs within a certain category valid datadata that results from a test that accurately measures what it was intended to measure check sheetstructured form/table that allows data to be collected by marking how often an event has occurred in a certain interval numerical summarya number used to describe a specific characteristic about a data set.quartilevalues that divide a data set into four equally sized groups histogramgraph that displays data through vertical bars that show the counts/numbers in each range skewnessmeasure of the degree to which a probability distribution leans towards one side of the average, where the median/mean aren't the same relative frequencyway to approximate a percentage by dividing the number of times an event occurred in an experiment by the total number of trials
box plotgraphical rendering of the range and the first, third quartiles of a data set with the data set's median in the center conditional percentagesway to approximate a percentage by dividing the number of times an event occurred in an experiment by the total number of respondents in that row or column hypothesis teststatistical test to tell us whether a result is significant causationrelationship of cause and effect between two, more variables significant differencemeasurable difference between two groups, samples that reflects a real difference, rather than the difference being by chance casual relationshiprelationship between two variables that can be classified as cause, effect simpson's paradoxcounterintuitive situation in which a trend in different groups of data disappears, reverses when the groups are combined least squarestechnique for finding the regression line degrees of freedomnumber whose value is one less than the sample size, when conducting a hypothesis test correlation coefficientmeasure of the linear relationship between two attributes. numerical value demonstrates how closely the attributes vary together.conditional probabilityprobability that depends on the occurrence of an earlier event disjointtwo events which cannot both occur at the same time sample spacethe entire set of outcomes for a trial or experiment the law of large numbersas the number of trials increases the empirical probability converges on the theoretical probability, that is the estimate of the true probability becomes more accurate theoretical probabilityactual, exact, classical probability. computed by dividing the number of outcomes where the desired event occurs by the total number of outcomes. outcomes must be equally likely multiplication rule for independent eventsP(A and B) = P(A) x P(B) law of total probabilityfundamental principle of probability which states that the product of all branches of a probability tree added together equals 1 empirical probabilityestimation of probability derived from recording data about what has happened during a series of experiments