Match the terms with their definitions. Paired sample T test, Inferential statistics, descriptive statistics, Non-parametic inferential statistical...

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Psychology

Match the terms with their definitions.
Paired sample T test, Inferential statistics, descriptivestatistics, Non-parametic inferential statistical procedures,Chi-square, Correlation, Independant-samples T test, Parametricinferential statistical procedures
1) This parametric statistical procedure is used when you have adependent variable that is interval (1, 2, 3, 4, .....and so on),and an independent variable that is dichotomous (1=yes, 2=no forexample). This tests compares the means (averages) of two samplesand tells you if there are statistically significant differencesbetween the two samples.
2) This statistical test determines the strength of a linearrelationship between two variables. It measures the degree ofrelatedness and the direction of the relationship. It is a measureof \"effect size\" (effect size is from chp 21)
3) This parametric statistical procedure is used when you havescores from two points in time (pre-test and post-test), and thedependent variable is interval level. this test indicates whetherthere is a statistically significant difference in mean (average)scores between time 1 (pretest) and time 2 (posttest)).
4) When you can assume that a variable is normally distributedin a population and the dependent variable of interest is aninterval level variable (measured continuously with one meaning oneand two meaning two etc.) these types of statistical tests areused
5) These are used when you are using a sample to test ahypothesis about a population.
6) This non-parametric statistical procedure is used when youhave a dependent variable that is either dichotomous, categorical,or ordinal and an independent variable that is dichotomous,categorical or ordinal. The results tell you whether the observedsample data is the same as what you would expect (the expecteddata), if the two variables are not associated.
7) When you cannot assume that a variable is normallydistributed in a population and the dependent variable of interestis not an interval level variable but rather a dichotomous (ie1=yes or 2=no; 1=male or 2=female), categorical (ie1=cats, 2=dogs,3=birds), or ordinal (ie 1=never, 2=sometimes, 3=often, 4=always)with the numbers only used to represent categories, these types ofstatistical tests are used
8) The procedures used to describe and summarize data

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1Independent sample ttestThis parametric statistical procedure is used when you have a dependent variable that is interval 1 2 3 4 and so on and an independent variable that is dichotomous 1yes 2no for example This tests compares the means averages of two samples and tells you if there are statistically significant differences between the two samples 2CorrelationThis statistical test determines the strength of a linear See Answer

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Match the terms with their definitions. Paired sample T test, Inferential statistics, descriptivestatistics, Non-parametic inferential statistical procedures,Chi-square, Correlation, Independant-samples T test, Parametricinferential statistical procedures 1) This parametric statistical procedure is used when you have adependent variable that is interval (1, 2, 3, 4, .....and so on),and an independent variable that is dichotomous (1=yes, 2=no forexample). This tests compares the means (averages) of two samplesand tells you if there are statistically significant differencesbetween the two samples.
2) This statistical test determines the strength of a linearrelationship between two variables. It measures the degree ofrelatedness and the direction of the relationship. It is a measureof \"effect size\" (effect size is from chp 21)
3) This parametric statistical procedure is used when you havescores from two points in time (pre-test and post-test), and thedependent variable is interval level. this test indicates whetherthere is a statistically significant difference in mean (average)scores between time 1 (pretest) and time 2 (posttest)).
4) When you can assume that a variable is normally distributedin a population and the dependent variable of interest is aninterval level variable (measured continuously with one meaning oneand two meaning two etc.) these types of statistical tests areused
5) These are used when you are using a sample to test ahypothesis about a population.
6) This non-parametric statistical procedure is used when youhave a dependent variable that is either dichotomous, categorical,or ordinal and an independent variable that is dichotomous,categorical or ordinal. The results tell you whether the observedsample data is the same as what you would expect (the expecteddata), if the two variables are not associated.
7) When you cannot assume that a variable is normallydistributed in a population and the dependent variable of interestis not an interval level variable but rather a dichotomous (ie1=yes or 2=no; 1=male or 2=female), categorical (ie1=cats, 2=dogs,3=birds), or ordinal (ie 1=never, 2=sometimes, 3=often, 4=always)with the numbers only used to represent categories, these types ofstatistical tests are used
8) The procedures used to describe and summarize data