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An exam consists of six true-or-false questions. Assuming that every question is answered, in how many different ways can a student complete the exam? In how many ways may the exam be completed if a penalty is imposed for each incorrect answer, so that a student may leave some questions unanswered?
A. | ||
B. | ||
C. | ||
D. | ||
E. | ||
F. |
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Thank you for the opportunity to help you with your question!
Answer choice C.) 64 ways to answer True/False and 729 ways to answer true, false, or blank.
You have 6 independent individual events. each with 2 outcomes if the student answers true or false.
2^6 = 64 outcomes possible.
Now if the student has the choice to not fill in either true or false we have:
6 independent events each with 3 different outcomes.
3^6 = 729 ways.
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South Western College Weight IAT Variables Questions
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Race: 1=American Indian/Alaska Native; 2=East Asian; 3=South Asian; 4=Native Hawaiian or other Pacific Islander; 5=Black or African American; 6=White; 7=Other or Unknown; 8=Multiracial
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What are the populations for the F-test?
State your hypotheses.
Create side-by-side (or stacked) boxplots for the quantitative variable (IAT Score) grouped by your chosen categorical variable. Select the option to display the mean within the boxplots (directions) .
Download the StatCrunch output window (your boxplots) and embed the .png file with your response.
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If conditions are not met for your selected categorical variable, start over and use the list of categorical variables provided in the Variables section above to select a different categorical variable for which conditions are met.
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Quantitative Variable
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Quantitative Variable
IAT-Weight-Score: Score on the Weight IAT
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Prompt
Work through each of the following items to conduct an ANOVA F-test using the variables listed above for your unique IAT sample.
What is the explanatory variable, and what is the response variable?
What are the populations for the F-test?
State your hypotheses.
Create side-by-side (or stacked) boxplots for the quantitative variable (IAT Score) grouped by your chosen categorical variable. Select the option to display the mean within the boxplots (directions) .
Download the StatCrunch output window (your boxplots) and embed the .png file with your response.
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Next, we need to create a table with these summary statistics: sample size, mean, and standard deviation for each of the populations you listed above. To do this, use StatCrunch to create a table of the indicated summary statistics for the quantitative variable (IAT Score) grouped by your chosen categorical variable. The summary statistics should be listed in the order given with no other statistics in your table.
Copy the table in the StatCrunch output window and paste it into your response.
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Enter a descriptive title above your table.
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