What test?
Random
Correlation
Random II
Simple stats
100
You have collected nominal data on gender and preference of car color. This is the type of analysis that would be appropriate to conduct.
Chi-square
100
The type of variable reported in frequency tables.
nominal or categorical
100
This is why we check a bivariate scatterplot.
linearity
100
Probability of committing a Type I error.
alpha or significance value
100
A result that is statistically significant at the .05 level would be reported in a research article as this.
p<.05
200
The formula Ŷ = a + (b1)(X1) + (b2)(X2) + (b3)(X3) is the formula for
multiple regression
200
If the variance is 9, then the standard deviation is this.
3
200
A relationship where high values of x are associated with low values of y and low values of x are associated with high values of y.
negative correlation
200
Results of a study that is not significant are this.
inconclusive
200
The most common descriptive statistics reported for continuous variables.
mean and standard deviation
300
I have one dichotomous variable as a predictor and a continuous variable as an outcome with treatment and control groups.
t-test for independent means
300
A health psychologist is interested in the effectiveness of a new exercise on reducing the rate of heart attacks because the exercise requires no equipment and, therefore, can be done without cost. This would be the research hypothesis.
The exercise will reduce the rate of heart attacks.
300
If you were interested in the relationship between number of hours worked per week and college grades, this is the type of analysis you would conduct.
correlation
300
The difference between observed and predicted values.
deviation or residual
300
Ordinary average of a group of numbers is this.
Mean
400
I am investigating the relationship between grades and distance to school.
correlation
400
An educational psychologist who gives the same test twice to the same people to check the accuracy of the test is assessing this.
reliability
400
When we interpret correlation coefficients.
only if they are significant
400
A statement that there is no difference between three populations.
null hypothesis
400
Descriptive statistic that is not useful to present.
variance
500
I have a categorical variable (no time spent in jail, little time spent in jail, lifetime spent in jail) and want to investigate the effect of this variable on happiness.
ANOVA
500
This is the type of sample that would be ideal to have.
random sample
500
The type of inferential test that we use for correlations is this.
t-test
500
A false negative.
Type II error
500
The probability that you will reject a false null hypothesis.
power
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