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Twice a number plus 6 is twelve.
A. 1/2 x + 6 = 12 B. 2x − 6 = 12 C. 2x + 6 = 12 D. 3x + 6 = 12
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Explanation & Answer
x/2+6=12
x/2=12-6=6
x=2*6=12
2x-6=12
2x=126
2x=18
x=18/2=9
2x+6=12
2x=12-6=6
x=3
3x+6=12
3x=6
x=2
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South Western College Weight IAT Variables Questions
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South Western College Weight IAT Variables Questions
(9) Weight IAT Variables
Quantitative Variable
IAT-Weight-Score: Score on the Weight IAT
Categorical Variable (choose one)
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
Political-ID: 1=strongly conservative; 2=moderately conservative; 3=slightly conservative; 4=neutral; 5=slightly liberal; 6=moderately liberal; 7=strongly liberal
Religiosity: 1=Not at all; 2=Slightly; 3=Moderately; 4=Very; 5=Extremely
Prefers: Subject reports: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
Most-Prefer: Subject’s perception of what most people prefer: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
Body-Image: Subject’s reported body image: 1=Very underweight; 2=Moderately underweight; 3=Slightly underweight; 4=Neither underweight nor overweight; 5=Slightly overweight; 6=Moderately overweight; 7=Very overweight
Important: Importance of weight to subject’s sense of self: 1=Not at all important; 2=Moderately unimportant; 3=Somewhat unimportant; 4=Neither unimportant nor important; 5=Somewhat important; 6=Moderately important; 7=Very important
Weight IAT variable descriptions (opens in a new tab).
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.
Do the boxplots suggest that the samples come from populations with different means? Briefly explain.
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.
To make your table readily understood by any reader, complete each of the following.
Enter a descriptive title above your table.
In your table, each group from your chosen categorical variable is labeled with a number. A reader will not understand what the number represents. Replace the numeric labels with descriptive words for each group of your selected categorical variable (see the Variables section above for your data set).
Determine whether conditions are met to use the ANOVA F-test. For each condition explain why the condition is met or not met.
Conducting the ANOVA F-test at the 5% significance level:
If conditions are met, use StatCrunch to conduct the ANOVA F-test (copy and paste the contents of the StatCrunch output window into your response). Identify the F-statistic and the P-value. Then state your conclusion in context.
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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Most Popular Content
South Western College Weight IAT Variables Questions
(9) Weight IAT Variables
Quantitative Variable
IAT-Weight-Score: Score on the Weight IAT
Categorical Variable (choose one) ...
South Western College Weight IAT Variables Questions
(9) Weight IAT Variables
Quantitative Variable
IAT-Weight-Score: Score on the Weight IAT
Categorical Variable (choose one)
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
Political-ID: 1=strongly conservative; 2=moderately conservative; 3=slightly conservative; 4=neutral; 5=slightly liberal; 6=moderately liberal; 7=strongly liberal
Religiosity: 1=Not at all; 2=Slightly; 3=Moderately; 4=Very; 5=Extremely
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Body-Image: Subject’s reported body image: 1=Very underweight; 2=Moderately underweight; 3=Slightly underweight; 4=Neither underweight nor overweight; 5=Slightly overweight; 6=Moderately overweight; 7=Very overweight
Important: Importance of weight to subject’s sense of self: 1=Not at all important; 2=Moderately unimportant; 3=Somewhat unimportant; 4=Neither unimportant nor important; 5=Somewhat important; 6=Moderately important; 7=Very important
Weight IAT variable descriptions (opens in a new tab).
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.
Do the boxplots suggest that the samples come from populations with different means? Briefly explain.
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.
To make your table readily understood by any reader, complete each of the following.
Enter a descriptive title above your table.
In your table, each group from your chosen categorical variable is labeled with a number. A reader will not understand what the number represents. Replace the numeric labels with descriptive words for each group of your selected categorical variable (see the Variables section above for your data set).
Determine whether conditions are met to use the ANOVA F-test. For each condition explain why the condition is met or not met.
Conducting the ANOVA F-test at the 5% significance level:
If conditions are met, use StatCrunch to conduct the ANOVA F-test (copy and paste the contents of the StatCrunch output window into your response). Identify the F-statistic and the P-value. Then state your conclusion in context.
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.
Embry Riddle Aeronautical University Normal Distribution Discussion
Select an industry, company, or product that you think uses (or should use) the normal distribution to aid in the design o ...
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Select an industry, company, or product that you think uses (or should use) the normal distribution to aid in the design or marketing of a product. Do some research on the industry, company, or product if needed.Identify the industry, company, or product you selected and then discuss the following in your initial response.Evaluate if using the normal distribution would be advantageous for the company.What are some ethical ramifications of designing products using information based on the normal distribution?Your initial response should three to four paragraphs in length. Use current APA formatting to cite your sources.
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