Exam 9: Making Sense of the Numbers

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What is the median in the following set of numbers: 1,16,35,14,7

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C

A measure of spread around the center of distribution that gives the researcher the score at a specific place within the distribution is called a___________.

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percentile

Which of the following is NOT a technique to help decide if there is a relationship between two variables?

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A graph that allows a researcher to see bivariate relationships using an X and Y axis is called what?

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When more cases in a distribution curve are in the extreme upper or lower areas of the curve,the curve is no longer bell-shaped; it becomes___________.

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This coefficient tells the researcher the size and direction of effects in multiple regression analysis and is known as the___________coefficient.

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A simple table showing how many,or what percent of the cases fall into each variable category is called___________.

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When using bivariate statistics,the researcher

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The statistical analysis technique used for nonexperimental data analysis in interval and ratio level data is called what?

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A Z-score is a standardized measure that uses what two measures in one score?

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Because standard deviation is not easy to interpret,Dr.Mottle uses another standard measure that expresses scores on a frequency distribution in terms of a number of standard deviations from the mean.What is Dr.Mottle using?

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Statistical significance indicates

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A type II error

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Levels of significance tell a researcher whether a relationship among variables is likely due to chance alone.

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Multiple Regression Analysis results tell the researcher two things,the percentage of prediction accuracy and

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A scattergram reveals three aspects of a bivariate relationship.Which of the following is NOT an aspect?

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Why does a researcher assign numbers to variable attributes or categories in each variable?

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A bivariate table

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Many naturally occurring phenomena fit the___________curve when data points are plotted.

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Inferential statistics uses___________to allow a researcher to test hypotheses,permit inferences from sample to population and to evaluate the strength of relationships among variables.

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