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31 Cards in this Set
- Front
- Back
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When the population standard deviation is known we use a |
Z test |
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When the population of standard deviation is unknown we use a |
T test |
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The Z test compares data from a ______ |
Sample Mean |
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The larger the difference between the two, the less likely this difference is due too |
Chance |
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If our null hypothesis is that a treatment will change an outcome(does not specify direction) we use a |
2 Tail Test |
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In a two tailed test we divide the critical region into_______ and the proportion of the distribution is |
2 parts on either end of the distribution |
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The critical value for a two tailed z test is |
1.96 |
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If our null hypothesis predicts the treatment will increase or decrease the outcome (does specify direction) we use a |
one tail test |
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In a one tailed test we divide the critical region into _____ and the proportion of the distribution is |
1 part |
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What is the measure of effect size for the z test? |
None |
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What is the measure of effect size for the t test? |
eta sqaured |
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The smaller the sample |
the bigger the error |
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In a t and z test the degrees of freedom is |
n-1 |
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To find a critical value for a t test you |
use the t table, and on the table, the columns represent the alpha and the rows represent the df. |
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If an alpha level decreases the confidence interval gets |
wider |
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If sample size increases or decreases, the confidence interval |
stays the same |
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Factor |
With ANOVA, the term factor is used instead of independent variable. |
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Factorial ANOVA |
More than one factor. |
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Pairwise Comparison |
Comparison between two sample means. |
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Pairwise Error Rate |
Likelihood of making a type 1 error for a single comparison |
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Experiment Wise Error |
The likely hood of making at least one type 1 error with any comparison. |
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Level |
With ANOVA the number of values of the independent variable. |
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Between Subjects Design |
With an ANOVA, those designs in which each subject recieves a single level. |
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Mean Square Between |
The estimate of S X 2 obtained from the deviations of the sample means from MG. |
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Mean Square Within |
The estimate of S x 2 obtained by pooling the variances of the scores from their sample means. |
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ANOVA |
Analysis of Variance |
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As the number of comparisons is increased, the probability of making a Type 1 error for each comparion_____ at .05 |
Remains |
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The probability of making a Type 1 error across all comparisons |
increases rapidly |
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If there is no treatment effect the MSw and Sbet will be |
1 |
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If there is no treatment effect, the F ratio should be approximately |
1 |
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The F ratio should be _______ if there is an effect |
larger than c.v. |
