Question to investigate: For the population of Race IAT participants, is birth-gender related to the participants' reported preference black people? 1. Which question are you investigating? Copy and paste the question into your response. 2. What is the explanatory variable, and what is the response variable? 3. State your hypotheses in context (the variables should be clear in each hypothesis).

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Chapter1: Combinatorial Analysis
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Question to investigate:
For the population of Race IAT participants, is birth-gender related to
the participants' reported preference black people?
1. Which question are you investigating? Copy and paste the question into your
response.
2. What is the explanatory variable, and what is the response variable?
3. State your hypotheses in context (the variables should be clear in each
hypothesis).
5. Interpret the expected counts for each response in the 3rd column of your
table. No need to show how the expected counts were calculated, but each
interpretation should include a relevant percentage.
6. Determine whether conditions are met to use the chi-square test of
independence. For each condition explain why the condition is met or not
met.
7. Chi-square test of independence:
o If conditions are met, use the StatCrunch chi-square output
(included with your contingency table above) to state your
conclusion in context.
o If conditions are not met, select a different question where
conditions are met. Repeat all steps above, but do not delete your
original work. Instead, include your new responses under your
previous responses.
o If conditions are not met for every question listed above with your
IAT data set, contact me.
Transcribed Image Text:Question to investigate: For the population of Race IAT participants, is birth-gender related to the participants' reported preference black people? 1. Which question are you investigating? Copy and paste the question into your response. 2. What is the explanatory variable, and what is the response variable? 3. State your hypotheses in context (the variables should be clear in each hypothesis). 5. Interpret the expected counts for each response in the 3rd column of your table. No need to show how the expected counts were calculated, but each interpretation should include a relevant percentage. 6. Determine whether conditions are met to use the chi-square test of independence. For each condition explain why the condition is met or not met. 7. Chi-square test of independence: o If conditions are met, use the StatCrunch chi-square output (included with your contingency table above) to state your conclusion in context. o If conditions are not met, select a different question where conditions are met. Repeat all steps above, but do not delete your original work. Instead, include your new responses under your previous responses. o If conditions are not met for every question listed above with your IAT data set, contact me.
Question to investigate:
For the population of Race IAT participants, is birth-gender related to
the participants' reported preference black people?
1. Which question are you investigating? Copy and paste the question into your
response.
2. What is the explanatory variable, and what is the response variable?
3. State your hypotheses in context (the variables should be clear in each
hypothesis).
Transcribed Image Text:Question to investigate: For the population of Race IAT participants, is birth-gender related to the participants' reported preference black people? 1. Which question are you investigating? Copy and paste the question into your response. 2. What is the explanatory variable, and what is the response variable? 3. State your hypotheses in context (the variables should be clear in each hypothesis).
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