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Jeopardy!

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Title: Science Jeopardy Author: Norman Herr Last modified by: Student Created Date: 7/3/2000 6:19:09 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Jeopardy!


1
Jeopardy!
One-Way ANOVA
Correlation Regression
Plots and Graphs
Factorial ANOVA
Hodgepodge
100
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200
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300
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400
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Final Jeopardy
2
FINAL JEOPARDY
  • ANSWER This is why we need ANOVA with more than
    two groups (AKA why we cant just run multiple
    t-tests to make all of the comparisons between
    groups).
  • QUESTION What is because it controls for rising
    a, a inflation, or increases familywise error
    rate?

3
One-way ANOVA100
  • ANSWER For ANOVA, these will always be the null
    and alternative hypotheses respectively.
  • QUESTION What is H0 all of the means are equal
    (or µ1 µ2 µ3 µk) HA all of the means are
    not equal?

4
One-way ANOVA200
  • ANSWER This is the conclusion that you would
    draw and what your next step would be.
  • QUESTION What is conclude that there are
    differences among the groups (reject H0) and look
    at multiple comparisons table to see which groups
    are significantly different from one another.

5
One-way ANOVA300
  • ANSWER This would be my next step if got this
    SPSS output for a one-way ANOVA.
  • QUESTION What is STOP and conclude that there
    are no differences among the groups (AKA retain
    H0)?

6
One-way ANOVA400
  • ANSWER This is the prerequisite that must be met
    before looking at the results of following table.
  • QUESTION What is the F test in the ANOVA table
    has to be significant (p lt .05).

7
One-way ANOVA500
  • ANSWER Assuming F is significant, there would be
    significant differences between the following
    groups.
  • QUESTION What is students who study an average
    of 1-3 hours/week and those who study 3-6 hrs/wk
    and 1-3 and 3-6 hrs/wk?

8
Correlation Regression 100
  • ANSWER This is Pearsons r.
  • QUESTION What is r .04 (.035)?

9
Correlation Regression 200
  • ANSWER You look at the correlation between
    average hrs/wk students spend in the library and
    average hrs/wk in the gym, and r -.52. This
    would be your interpretation.
  • QUESTION What is this is a moderately strong
    negative correlation, as amount of time spent in
    library goes up, rec goes down and vice versa?

10
Correlation Regression 300
  • ANSWER You think that satisfaction with Miamis
    IT services will predict satisfaction with the
    library resources available on campus. In a
    regression, this would be your IV and DV
    respectively.
  • QUESTION What is IV IT services and DV
    Library resources?

11
Correlation Regression 400
  • ANSWER You do a regression predicting
    perceptions that Miami courses are rigorous from
    satisfaction with library resources. The slope,
    intercept and regression equation would be the
    following.
  • QUESTION What is slope .46, intercept 3.86,
    equation is Y .46X 3.86?

12
Correlation Regression 500
  • ANSWER You do a regression predicting
    perceptions that Miami courses are rigorous from
    satisfaction with library resources and obtain
    the following equation Y .46X 3.86. This is
    how you would interpret the slope.
  • QUESTION What is for every one-unit increase
    decrease in satisfaction with library
    resources, there will be a 0.46 increase
    decrease in the perception that Miami courses
    are rigorous.

13
Plots and Graphs100
  • ANSWER In two-way ANOVA, a plot where the lines
    on the graph are not parallel indicates this.
  • QUESTION What is an interaction?

14
Plots and Graphs200
  • ANSWER The effects shown in this plot.
  • QUESTION What is a main effect of both gender
    and class rank with NO interaction?

15
Plots and Graphs300
  • ANSWER These are the effects shown in this plot.
  • QUESTION What is two main effects and an
    interaction?

16
Plots and Graphs400
  • ANSWER The types of effects you see in this
    plot.
  • QUESTION What is a main effect of Greek
    involvement only?

17
Plots and Graphs500
  • ANSWER The type of relation depicted here (Hint
    think correlation)
  • QUESTION What is a negative correlation or
    relation?

18
Factorial ANOVA100
  • ANSWER This is the effect of just one of your
    factors collapsing across and ignoring the levels
    of the other factor.
  • QUESTION What is a main effect?

19
Factorial ANOVA200
  • ANSWER When the effect of one of your factors is
    different across the levels of another factor,
    this type of relationship is said to exist.
  • QUESTION What is an interaction?

20
Factorial ANOVA300
  • ANSWER You one a two-way ANOVA and get the
    following results. These are the effects that are
    significant.
  • QUESTION What is both main effects but NOT the
    interaction?

21
Factorial ANOVA400
  • ANSWER You perform a 2(gender) 4(class rank)
    ANOVA. These are the variable(s) that require
    post hoc tests.
  • QUESTION What is class rank?

22
Factorial ANOVA500
  • ANSWER When the interaction is not significant
    (p gt .05) your interpretation should focus on
    this.
  • QUESTION What are the significant main effects.

23
Hodgepodge100
  • ANSWER This is the purpose of post hoc tests
    (e.g., Fishers LSD, Tukeys HSD).
  • QUESTION What is they enable us to identify
    specific differences between 3 or more groups
    without raising a?

24
Hodgepodge200
  • ANSWER In two-way ANOVA, the circumstance under
    which you run post hoc tests for a factor.
  • QUESTION What is when the factor consists of
    more than 2 groups or levels)?

25
Hodgepodge300
  • ANSWER This is what it means to say have a 3 2
    design.
  • QUESTION What is we have two factors with three
    groups or levels of the first factor and 2 groups
    or levels of the second factor?

26
Hodgepodge400
  • ANSWER A researcher using math SAT scores
    (pre-admittance) to predict students subsequent
    grades in college math classes. This is my IV and
    DV.
  • QUESTION What is my IVSAT scores and my DV
    grades in college math classes.

27
Hodgepodge500
  • ANSWER If X is the IV (satisfaction with Miami
    libraries) and Y is the DV (rated rigor of Miami
    courses), this would be the predicted value of y
    when X 4.23 Y .46X 3.86.
  • QUESTION What is Y .46(4.23) 3.86 5.81?
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