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Correlation
Regression
Chi Square
Two Way ANOVA
100
1) The degrees of freedom for a Pearson's Correlation test with a sample of N=45.
What is df = 43?
100
The purpose of regression is not just to find a relationship between two variables, but to __________ the value of one variable from the value of the other.
What is predict?
100
This happens to the critical value of chi-square test if the number of categories is increased.
What is the critical value increase?
100
A researcher would like to examine the effects of a gluten free diet and exercise on well-being. She categorizes people by whether they eat a gluten free or regular diet and whether they exercise regularly or non-regularly during the week. Then she measures their rates of well-being.
What is a Two-Way ANOVA?
200
A college professor reports that students who finish exams early tend to get better grades than students who hold on to exams until the last possible moment. The direction of this relationship is ____________
What is negative?
200
This statistic tells you what proportion of the variability in "y" is explained by "x".
What is r-squared?
200
Chi-Square tests are used with _________ variables, which means that they are _____________ tests.
What is nominal & nonparametric?
200
In a Two-Way ANOVA, what does the interaction measure?
What is the synergistic effect of the two IVS on the DV?
300
For a sample of n = 29 individuals, how large a Pearson correlation is necessary to be statistically significant for a two-tailed test with α = .05?
What is .367?
300
When interpreting the output for a regression, the column you use to compare which predictors are stronger than others.
What is beta?
300
Ten years ago, only 15% of the U.S. population consisted of people more than 65 years old. A researcher plans to use a sample of n = 300 people to determine whether the population distribution has changed during the past ten years. If a chi-square test is used to evaluate the data, what is the expected frequency for the older-than-65 category?
What is fe = 45?
300
A psychologist uses a Two-Way ANOVA to examine the effects of sugar and caffeine consumption on the activity level of adolescents. After recording the activity level for each child, the psychologist determines that the value of η2 for the interaction is .345. What does this tell us about how sugar AND caffeine consumption affects activity levels?
What is 34.5% of the variance in activity level can be explained by the interaction between sugar & caffeine consumption?
400
All of the following are true of correlations EXCEPT: A) The value of a correlation can be affected by the range of the data B) outliers can have a major impact on the value of a correlation C) the value of a correlation can range from -1 to 1 D) All of the above are true
What is D) All of the above are true?
400
You conduct a regression analysis on reaction time and find the following beta weights for three predictors, and determine this predictor to be the highest positive predictor of reaction time: Sugar consumption: beta =.333 Alcohol consumption: beta = -.465 Caffeine consumption: .226
What is sugar consumption?
400
A chi-square test for independence has df = 2. What is the total number of cells in the matrix that were used to classify individuals in the sample?
What is 4 cells?
400
You obtain the following results for a Two-Way ANOVA. What can you conclude about the main effects for each IV and the Interaction? Main effect of Political Affiliation: F(3,68) = 2.65, p >.05 Main effect of Ethical Orientation: F(3, 68) = 5.45, P <.05 Interaction: F(3, 68) = 6.87, p <.05
What is there is a significant interaction and main effect of ethical orientation but there is not a significant effect of political affiliation?
500
What is the value of the pearson’s correlation for the following information: SP = 9, SSx = 25, SSy = 4.
What is r=.90?
500
The regression line for a scatterplot of X and Y values is found by minimizing __________.
What is the distance from all of the points to the line?
500
A researcher is examining the relationship between color preferences and gender. A sample of 40 men and 60 women is obtained and each person is asked to identify his/her preference between two choices of paint colors for a new student lounge: lime green or electric orange. For this sample, 15 of the men preferred lime green, and 35 of the women preferred also preferred lime green. If a chi-square test is used to evaluate the relationship, what is the expected frequency for men preferring color A?
What is fe 20?
500
A two-way ANOVA has a significant interaction of Gender and Marital Status on measures of Happiness. Married women M= 8, Married men M= 15, Single women=13, Single men = 6. Draw the graph using the following information, and use this to help you explain the interaction in words.
Women tend to be happier when they are single rather than married. Men tend to be happier when they are married rather than single.