Term
8 Steps in Testing Relationships
Step 1 |
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Definition
| Statement of Null Research Hypothesis |
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8 Steps in Testing Relationships
Step 2 |
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Definition
| Setting Level of Risk or Significance |
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8 Steps in Testing Relationships
Steps 3 and 4 |
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Definition
| Selection of Appropriate Test |
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8 Steps in Testing Relationships
Step 5 |
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Definition
| Determination of Value for Rejection |
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8 Steps in Testing Relationships
Step 6 |
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Definition
| A Comparison of Obtained and Critical Value |
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Term
8 Steps in Testing Relationships
Steps 7 and 8 |
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Definition
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Term
True or False
JUST BECAUSE TWO VARIABLES ARE RELATED TO ONE ANOTHER, THIS HAS NO BEARING ON WHETHER ONE CAUSES THE OTHER. |
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Definition
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True or False
Just because a correlation coeffiecient is significant, it does not mean its meaningful |
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Term
EVEN IF THERE IS A POSITIVE RELATIONSHIP, AND IF THERE IS A RELATIVELY SMALL CORRELATION,
THEN |
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Definition
| THERE IS AN INDICATION THERE ARE LOTS OF OTHER THINGS GOING ON IN THAT RELATIONSHIP THAT MAY BE IMPORTANT AS WELL |
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Term
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Definition
| A statement about the way things will happen in the future, often by not always based on experience or knowledge. |
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Term
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Definition
| Although guaranteed information about the information is in many cases impossible, prediction is necessary to allow plans to be made about possible developments |
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Term
True or False
Prediction is closely related to uncertainty. |
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Definition
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Term
| How do we begin to predict a result with a graph? |
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Definition
| Create a regression equation, plot a regression line, or best line to fit. |
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Term
| When using a scatter plot, regression equation, to come up with a best line or fit, it allows us to. |
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Definition
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Term
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Definition
| The distance between each individual data point and the regression line. |
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Term
| Coefficient of Determination |
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Definition
| Used in context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. |
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Definition
| The square of the sample of correlation efficient between the outcomes and their predicted values, or in the case of simple linear regression, between the outcomes and the values of the single regressor being used for prediction. |
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| What range does the coefficient of determination cover? |
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Definition
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| Determining the score on one variable (criterian or dependent variable). |
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Definition
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| From the value of another score (predictor or independent variable) |
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Definition
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| The higher the magnitude of correlation between the two variables, the _______ the prediction. |
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Definition
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| This tells us how much imprecision there is in an estimate? |
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Definition
| Standard error of estimate value. |
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Term
The higher the correlation the ________
the error. |
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Definition
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Term
| If correlation is +1 or -1, the standard error estimate is. |
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Definition
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| If all data points fall on the regression line, than there is ______________ in the error estimate. |
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Term
| Closer to regression line is better or worse prediction. |
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Definition
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| Standard error estimate is 0, than prediction is __________. |
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Term
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Definition
| A branch of statistics that assumes that data have come from a type of probability distribution and makes inferences about the parameters of the distribution. |
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Definition
Distribution-Free statistics
Do not require same assumptions as parametric tests. |
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Term
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Definition
| Allows you to determine if what you observe in a distribution of frequencies would be what you expect to occur by chance. |
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Term
| Anova used to ___________. |
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Definition
| test hypothesis, used when more than two groups are being tested, and these groups are compared on average. |
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Term
| One way analysis of variance or single factor |
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Definition
| ANOVA - a technique used to compare means of two of more samples (using F distribution). The can only be used for numerical data. |
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Term
| Factorial ANOVA (including two way ANOVA) |
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Definition
1 continuous dependent variable with normal distribution
2 or more categorical independent variables |
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Definition
| factorial design where there is more than one treatment factor being explored. |
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Term
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Definition
| In one way analysis of variance is used to assess whether the expected values of a quantitative variable within several predefined groups differ from each other. |
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Term
| An F-test is any statistical test in which the test statistic has an F-distribution under the null hypothesis |
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Definition
| It is most often used when comparing statistical models that have been fit to a data set, in order to identify the model that best fits the population from which the data were sampled. |
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Term
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Definition
| FACTORAL DESIGN WHRE THERE IS MORE THAN ONE TREATMENT FACTOR BEING EXPLORED. |
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Term
A one-way ANOVA measures the effect of one independent variable on a dependent variable,
WHEREAS
A two-way ANOVA |
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Definition
| measures the effect of two independent variables on the dependent variable. |
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Term
| FACTORIAL ANALYSIS OF VARIANCE |
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Definition
| Factorial ANOVA measures whether a combination of independent variables predict the value of a dependent variable. |
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Term
| The goodness of fit of a statistical model describes |
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Definition
| how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question. |
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Term
| Would you pay attention to an r square of .5 |
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