STATS FINAL

Card Set Information

Author:
AlisonLambert_09
ID:
56398
Filename:
STATS FINAL
Updated:
2010-12-15 21:38:50
Tags:
HATE TEST
Folders:

Description:
TEST SUCKS
Show Answers:

Home > Flashcards > Print Preview

The flashcards below were created by user AlisonLambert_09 on FreezingBlue Flashcards. What would you like to do?


  1. For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t tests because:
    A.a test based on variances is more sensitive than a test based on means.
    B.There is no difference between the two tests, you can use either one.
    C.separate t tests would require substantially more computations.
    D.conducting several t tests would inflate the risk of a Type I error.
    D.conducting several t tests would inflate the risk of a Type I error.
    (this multiple choice question has been scrambled)
  2. 2.If the null hypothesis is true and there is no treatment effect, what value is expected on average for the F-ratio?
    A.0
    B. N - k
    C. 1.00
    D. k - 1
    C. 1.00
    (this multiple choice question has been scrambled)
  3. 3.An analysis of variance produces SStotal = 40 and SSwithin = 10. For this analysis, what is SSbetween?
    A. 400
    B. 30
    C.50
    D.Cannot be determined without additional information.
    B. 30
    (this multiple choice question has been scrambled)
  4. 4.In general the distribution of F-ratios is:
    A.positively skewed with all values greater than or equal to zero.
    B.symmetrical with a mean equal to dfbetween.
    C. negatively skewed with all values greater than or equal to zero.
    D.symmetrical with a mean of zero.
    A.positively skewed with all values greater than or equal to zero.
    (this multiple choice question has been scrambled)
  5. 5.In analysis of variance, the F-ratio is a ratio of:

    A.two variances.
    B.sample variances divided by sample means.
    C.sample means.
    D.sample means divided by variances.
    A.two variances.
    (this multiple choice question has been scrambled)
  6. 6.For an independent-measures experiment comparing two treatment conditions with a sample of n = 10 in each treatment, the F-ratio would have df equal to ________.

    A.18
    B.1, 18
    C.19
    D.1, 19
    B.1, 18
    (this multiple choice question has been scrambled)
  7. 7. A researcher reports an F-ratio with df = 2, 36 for an independent-measures experiment. How many treatment conditions were compared in this experiment?

    A. 2
    B.38
    C. 36
    D. 3
    D. 3
    (this multiple choice question has been scrambled)
  8. 8.A researcher reports an F-ratio with df = 1, 24 for an independent-measures experiment. How many individual subjects participated in the experiment?

    A.26
    B.27
    C.24
    D.25
    A.26
    (this multiple choice question has been scrambled)
  9. 9.Which combination of factors is most likely to produce a large value for the F-ratio?

    A. small mean differences and large sample variances
    B. large mean differences and large sample variances
    C. large mean differences and small sample variances
    D. small mean differences and small sample variances
    C.large mean differences and small sample variances
    (this multiple choice question has been scrambled)
  10. 10.Under what circumstances are post tests necessary?

    A.When you reject the null hypothesis with more than 2 treatment conditions.
    B.When you fail to reject the null hypothesis with more than 2 treatment conditions.
    C.When you fail to reject the null hypothesis with exactly 2 treatment conditions.
    D.When you reject the null hypothesis with exactly 2 treatment conditions.
    A. When you reject the null hypothesis with more than 2 treatment conditions.
    (this multiple choice question has been scrambled)
  11. In the F-ratio for a repeated-measures ANOVA, what happens to variability caused by individual differences?

    A.Is automatically eliminated from both the numerator and the denominator.
    B.Is automatically eliminated from the numerator but must be computed and subtracted out of the denominator.
    C. Must be computed and subtracted out of the numerator and the denominator.
    D.Is automatically eliminated from the denominator but must be computed and subtracted out of the numerator.
    B.Is automatically eliminated from the numerator but must be computed and subtracted out of the denominator.
    (this multiple choice question has been scrambled)
  12. In a repeated-measures ANOVA, a P value corresponds to:

    A.each individual score in the research study.
    B.the product obtained by multiplying all the scores for each individual person.
    C.the total of all the scores for an individual person.
    D.the total of all the scores for an individual treatment.
    C.the total of all the scores for an individual person.
    (this multiple choice question has been scrambled)
  13. A repeated-measures analysis of variance produces SSwithin treatments = 24 and SSbetween treatments = 40. For this analysis, what is the value of SSerror?

    A.24
    B.Cannot be determined from the information provided.
    C.64
    D.16
    B.Cannot be determined from the information
    (this multiple choice question has been scrambled)
  14. A researcher obtains an F-ratio with df = 2, 12 from an ANOVA for a repeated-measures research study. How many subjects participated in the research study?

    A.7
    B.15
    C.13
    D.14
    A. 7
    (this multiple choice question has been scrambled)
  15. Which of the following are sources of variability that contribute to SSbetween treatments in a repeated ANOVA?

    A.treatment effect and random unsystematic differences
    B.individual differences and random unsystematic differences
    C.treatment effect and individual differences
    D.treatment effect, individual differences, and random unsystematic differences
    A.treatment effect and random unsystematic differences
    (this multiple choice question has been scrambled)
  16. In a repeated-measures ANOVA, a P value is obtained by:

    A.summing the T values of all treatments.
    B.finding the sum of the scores for a treatment.
    C.N-k.
    D.finding the sum of the scores for a participant in the study.
    D.finding the sum of the scores for a participant in the study
    (this multiple choice question has been scrambled)
  17. In a repeated-measures ANOVA the SSwithin treatments is divided into two components. What are they?

    A.between subjects and between treatments
    B.between treatments and error
    C.between subjects and error
    D.total variability and error
    C.between subjects and error
    (this multiple choice question has been scrambled)
  18. The results of a repeated-measures ANOVA are reported as follows, F(3, 27) = 1.12, p > .05. How many subjects participated in the study?

    A.36
    B.10
    C.40
    D.9
    B.10
    (this multiple choice question has been scrambled)
  19. For a repeated-measures ANOVA, which of the following is computed differently, compared to an independent-measures ANOVA?

    A.total SS
    B.within treatment SS
    C.between treatment SS
    D.the denominator of the F ratio
    D.the denominator of the F ratio
    (this multiple choice question has been scrambled)
  20. The appropriate denominator for the F-ratio for a repeated-measures ANOVA is:

    A.remaining variance when the variance within treatments is subtracted from the variance between subjects.
    B.variance within treatments.
    C.variance between subjects.
    D.remaining variance when the variance between subjects is subtracted from the variance within treatments.
    D.remaining variance when the variance between subjects is subtracted from the variance within treatments.
    (this multiple choice question has been scrambled)
  21. In a two-factor analysis of variance a main effect is defined as:

    A.the mean difference between the two factors.
    B.the mean differences among all treatment conditions.
    C.the mean differences among the levels of one factor.
    D.the difference between the largest treatment mean and the smallest treatment mean.
    C.the mean differences among the levels of one factor.
    (this multiple choice question has been scrambled)
  22. The results from a two-factor analysis of variance show a significant main effect for factor A and a significant main effect for factor B. Based on this information, you can conclude that:

    A.there probably is a significant interaction
    B.there must by a significant interaction.
    C.you cannot make any conclusion about the significance of the interaction.
    D.the interaction cannot be significant.
    C.you cannot make any conclusion about the significance of the interaction.
    (this multiple choice question has been scrambled)
  23. A two-factor experimental study means that the study has:

    A.two independent variables
    B.two dependent variables.
    C.exactly two groups of participants.
    D.an interaction between two variables.
    A.two independent variables.
    (this multiple choice question has been scrambled)
  24. For an experiment involving 2 levels of factor A and 3 levels of factor B, with a sample of n = 10 in each treatment condition, what are the df values for the F-ratio for the AxB interaction?

    A.1, 54
    B.2, 54
    C.3, 54
    D.5, 54
    B.2, 54
    (this multiple choice question has been scrambled)
  25. The results of a two-factor analysis of variance produce df = 1, 30 for the F-ratio for factor A and df = 2, 30 for the F-ratio for factor B. What are the df values for the AxB interaction?

    A.2, 30
    B.3, 30
    C.2, 60
    D.1, 30
    A.2, 30
    (this multiple choice question has been scrambled)
  26. A two-factor, independent-measures research study is evaluated using an analysis of variance. The F-ratio for factor A has df = 2, 36 and the F-ratio for factor B has df = 3, 36. Based on this information, what are the df values for the AxB interaction?

    A.df = 5, 36
    B.df = 5, 72
    C.df = 6, 36
    D.df = 6, 72
    C.df = 6, 36
    (this multiple choice question has been scrambled)
  27. The analysis of variance for a two-factor experiment produces:

    A.one overall F-ratio followed by a series of required post hoc tests.
    B. two separate F-ratios.
    C. three separate F-ratios.
    D. four separate F-ratios.
    C.three separate F-ratios.
    (this multiple choice question has been scrambled)
  28. In a two-factor analysis of variance, the F-ratios for factor A, factor B, and the AxB interaction:

    A.all have the same df values but they may have different denominators.
    B.all have the same df values and they all have the same denominator.
    C.may have different df values and may have different denominators.
    D.may have different df values but they all have the same denominator.
    D.may have different df values but they all have the same denominator.
    (this multiple choice question has been scrambled)
  29. If the results of a two-factor experiment are presented in a line graph, then an interaction can be seen whenever:

    A. the lines are parallel.
    B. the lines in the graph are not straight (bent).
    C.there is a space separating the lines.
    D. the lines move toward each other or cross.
    D.the lines move toward each other or cross.
    (this multiple choice question has been scrambled)
  30. A two factor analysis of variance produces SSA = 20, SSB = 40 and SSAxB = 90. For this analysis, what is the value for SSbetween treatments ?

    A.150
    B.30
    C.Cannot be determined without additional information.
    D.60
    A.150
    (this multiple choice question has been scrambled)
  31. A negative value for a correlation indicates:

    A. increases in X tend to be accompanied by increases in Y.
    B. increases in X tend to be accompanied by decreases in Y.
    C. a much weaker relationship than if the correlation were positive.
    D. a much stronger relationship than if the correlation were positive.
    B. increases in X tend to be accompanied by decreases in Y.
    (this multiple choice question has been scrambled)
  32. A Pearson correlation of r = +0.85 indicates that a graph of the data would show:

    A.points clustered close to a line that slopes up to the right.
    B. points clustered close to a line that slopes down to the right.
    C.points widely scattered around a line that slopes down to the right.
    D.points widely scattered around a line that slopes up to the right.
    A.points clustered close to a line that slopes up to the right.
    (this multiple choice question has been scrambled)
  33. Which of the following pairs of variables should produce a negative relationship?

    A.IQ and weight for a group of third-grade students.
    B.Model year (2003, 2004, etc.) and price for a used Honda.
    C.Driving distance from college and weekly cost of gas for a group of commuting college students.
    D.Number of hours studying and number of errors on a math exam.
    D.Number of hours studying and number of errors on a math exam.
    (this multiple choice question has been scrambled)
  34. What is the value of SP for the following set of data?


    pastedGraphic.pdf
    a. -15

    b. -11

    c. -14

    d. 14
    c.-14
  35. Suppose the correlation between height and weight for adults is +0.80. What proportion (or percent) of the variability in weight can be explained by the relationship with height?

    A.40%
    B.80%
    C.64%
    D.100 - 80 = 20%
    C.64%
    (this multiple choice question has been scrambled)
  36. For a hypothesis test for the Pearson correlation, the null hypothesis states that:

    A. the sample correlation is zero.
    B. there is a non-zero correlation for the general population.
    C. there is a non-zero correlation for the sample.
    D. the population correlation is zero.
    D.the population correlation is zero.
    (this multiple choice question has been scrambled)
  37. The Pearson and the Spearman correlations are both computed for the same set of data. If the Pearson correlation is r = +1.00, then what can you conclude about the Spearman correlation?

    A.It will be positive and have a value of 1.00
    B.There is no predictable relationship between the Pearson and the Spearman correlations.
    C.It will be positive.
    D.It will have a value of 1.00
    A.It will be positive and have a value of 1.00
    (this multiple choice question has been scrambled)
  38. Under what circumstances should the Spearman correlation be used?

    A.The original data are measured on an ordinal scale of measurement.
    B.All of the other options are appropriate circumstances for the Spearman correlation.
    C.The Pearson is too difficult to compute
    D.The researcher's primary interest is the linearity of the relationship.
    D.The researcher's primary interest is the linearity of the relationship.
    (this multiple choice question has been scrambled)
  39. In what situations can the point-biserial correlation be used?

    A.When both X and Y are dichotomous.
    B.When a single-sample t test would also be appropriate.
    C.When both X and Y are ranks.
    D.When an independent-measures t test would also be appropriate.
    D.When an independent-measures t test would also be appropriate.
    (this multiple choice question has been scrambled)
  40. Under what conditions is the phi-coefficient used?

    A.When both X and Y consist of ranks.
    B.All of the other options are conditions for using phi.
    C.When one of the two variables is dichotomous.
    D.When both X and Y are dichotomous variables.
    D.When both X and Y are dichotomous variables.
    (this multiple choice question has been scrambled)
  41. In the general linear equation, Y = bX + a, what is the value of b called?
    A.Y intercept
    B.slope
    C.X intercept
    D.correlation between X and Y
    B.slope
    (this multiple choice question has been scrambled)
  42. The regression equation is determined by minimizing:
    A.the total error between the X and Y values.
    B.the total squared error between the X and the Y values.
    C.the total squared error between the predicted Y values and the actual Y values.
    D.the total error between the predicted Y values and the actual Y values.
    C.the total squared error between the predicted Y values and the actual Y values.
    (this multiple choice question has been scrambled)
  43. For the regression equation Y = 2X - 1, if the mean for X is MX = 8, what is the mean for Y?
    A.Impossible to determine
    B.15
    C.4.5
    .d.7
    B.15
    (this multiple choice question has been scrambled)
  44. If the correlation between X and Y is r = 0.00, then SP = 0 and the regression equation is:
    A.Y = 0 + MY
    B.Y = 0 + MX
    C.Y = X + MX
    D.Y = X + 0
    A.Y = 0 + MY
    (this multiple choice question has been scrambled)
  45. If there is a negative correlation between X and Y, then the regression equation Y = bX + a will have ________.
    A.a < 0
    B.b < 0
    C.a > 0
    D.b > 0
    B.b < 0
    (this multiple choice question has been scrambled)
  46. A set of n = 25 pairs of scores (X and Y values) has a Pearson correlation of r = 0.60. How much of the variance for the Y scores is predicted by the relationship with X?
    A.0.60 or 60%
    B.0.36 or 36%
    C.0.40 or 40%
    D.0.64 or 64%
    B.0.36 or 36%
    (this multiple choice question has been scrambled)
  47. A linear regression equation is computed for a sample of n = 18 pairs of X and Y scores. For the analysis of regression testing the significance of the equation what are the df values for the F-ratio?
    A.df = 2, 15
    B.df = 2, 16
    C.df = 1, 16
    D.df = 1, 17
    C.df = 1, 16
    (this multiple choice question has been scrambled)
  48. A multiple regression equation with two predictor variables has R2 = 0.30 and SS = 100 for a sample of n = 15 participants. What is the standard error of estimate for this equation?
    A.v70/13
    B.v70/12
    C.v30/13
    D.v30/12
    B.v70/12
    (this multiple choice question has been scrambled)
  49. The Pearson correlation between X1 and Y is r = 0.40 and SSY = 100. When a second variable, X2, is added to the regression equation, we obtain R2 = 0.25. How much additional variance is predicted by adding the second variable compared to using X1 alone?
    A.25 points
    B.40 points
    C.9 points
    D.15 points
    C.9 points
    (this multiple choice question has been scrambled)
  50. For either linear regression or multiple regression, the value of SSresidual can be computed directly by:
    A.(Y - bX)2
    B.(Y - MY)2
    C.(Y - MY)2
    D.(Y - Y)2
    D.(Y - Y)2
    (this multiple choice question has been scrambled)
  51. The term observed frequency refers to:
    A.the frequencies that are hypothesized for the population being examined.
    B.the frequencies found in the population being examined.
    C.the frequencies computed from the null hypothesis.
    D.the frequencies found in the sample data.
    D.the frequencies found in the sample data.
    (this multiple choice question has been scrambled)
  52. The expected frequencies:
    A.can contain fractions and negative numbers.
    B.can contain both positive and negative values.
    C.are always whole numbers.
    D.can contain fractions or decimal values.
    D.can contain fractions or decimal values.
    (this multiple choice question has been scrambled)
  53. The chi-square distribution is:
    a.positively skewed with all values greater than or equal to zero
    .b.symmetrical with a mean equal to n - 1.
    c.negatively skewed with all values greater than or equal to zero.
    d.symmetrical with a mean of zero.
    a.positively skewed with all values greater than or equal to zero
  54. The term expected frequencies refers to:
    a.the frequencies that are hypothesized for the population being studied
    .b.the frequencies computed from the null hypothesis.
    c.the frequencies found in the sample data.
    d.the frequencies that are found in the population being studied.
    b.the frequencies computed from the null hypothesis.
  55. What does it mean to obtain a negative value for the chi-square statistic?
    A.The chi-square statistic can never be negative.
    B.There are large discrepancies between the observed and expected frequencies for most categories.
    C.The expected frequencies tend to be larger than the observed frequencies.
    D.The observed frequencies tend to be larger than the expected frequencies.
    A.The chi-square statistic can never be negative.
    (this multiple choice question has been scrambled)
  56. The chi-square test for goodness of fit evaluates:
    a.the shape or proportions for a population distribution
    .b.None of the other options are evaluated by the chi-square test
    .c.the relationship between two variables.
    d.the mean differences between two or more treatments.
    a.the shape or proportions for a population distribution
  57. The null hypothesis for the chi-square test for independence states that:
    A.there is no relationship between the two variables.
    B.both variables have the same frequency distribution.
    C.the two variables have different frequency distributions.
    D.there is a relationship between the two variables.
    A.there is no relationship between the two variables.
    (this multiple choice question has been scrambled)
  58. A chi-square test for independence has df = 2. What is the total number of categories (cells in the matrix) that were used to classify individuals in the sample?
    A.3
    B.2
    C.6
    D.4
    C.6
    (this multiple choice question has been scrambled)
  59. A sample of 100 people is classified by gender (male/female) and by whether or not they are registered voters. The sample consists of 60 females, of whom 50 are registered voters, and 40 males, of whom 25 are registered voters. If these data were used for a chi-square test for independence, the expected frequency for registered males would be ________.
    A.45
    B.30
    C.25
    D.15
    B.30
    (this multiple choice question has been scrambled)
  60. Under what conditions can the phi-coefficient be used to measure effect size for a chi-square test for independence?
    A.When either of the two variables consists of exactly two categories.
    B.When either of the two variables consists of more than two categories.
    C.When both variables consist of more than two categories.
    D.When both variables consist of exactly two categories.
    D.When both variables consist of exactly two categories.
    (this multiple choice question has been scrambled)

What would you like to do?

Home > Flashcards > Print Preview