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sin(-pi/2)=1
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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) ...
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.
American College of Education Advanced Topics in Statistics Questions
i need fixt it For question 2a, check the “id” variable to be sure you have the correct cases numbers that need to be ...
American College of Education Advanced Topics in Statistics Questions
i need fixt it For question 2a, check the “id” variable to be sure you have the correct cases numbers that need to be removed. There are three cases that should be removed that you did not list. Also, 18 and 1129 will automatically be removed since there is missing data for these cases (no MAH_1 value). Some of your values are different than what I have. Be sure you run the multiple regression with the profile-b data set and only with cases that are MAH_1 ≤ 22.458. For question 2h, you should not include the values for the variables that are not statistically significant. The regression equation should only include those variables that are statistically significant. For 2i, also mention that these two variables are not statistically significant and provide the p (sig) value.
QMB 2100 USF Distribution & Standard Deviation Statistical Problems
Answer the questions in the picture below. Simple questions. The picture can be enlarged. Thank you for your help
QMB 2100 USF Distribution & Standard Deviation Statistical Problems
Answer the questions in the picture below. Simple questions. The picture can be enlarged. Thank you for your help
MTH 218 UOPX Wk 5 Statistical Knowledge on Census Data Discussion
Consider the 2020 Census. The purpose a census is to gather information about all people living in the United States of Am ...
MTH 218 UOPX Wk 5 Statistical Knowledge on Census Data Discussion
Consider the 2020 Census. The purpose a census is to gather information about all people living in the United States of America. Once the data is collected, it can be used to describe and infer information about the population.Respond to the following in a minimum of 175 words:Given what you have learned so far in the course, what are some ways you could use your statistics knowledge to work with census data?What limitations would you have if you were using the simple procedures addressed in Wks 1-4 of this course?What additional statistical knowledge might be helpful to enhance your analysis?Post 2 replies to classmates or your faculty member. Be constructive and professional.**This was the original question and I need to reply to my classmate in a minimum 100 words without references:This is a classmate's response to the above discussion question:"One statistical method we can apply to the census data is to determine the confidence interval and margin of error of the sample compared to the total population. I believe this will be an important piece of the analysis because we would want to establish the level of certainty/uncertainty in the data collected. The data can also be split into different categories based on the answers to the questions (demographics, race, age, region, etc). We can use t-testing to compare multiple samples and find the p-value, which will provide information on how statistically relevant the data actually is. Establishing relevance and certainty in the data will give us a better understanding of how well the sample represents the population, therefore allowing us to making inferences about the population as a whole. The accuracy of the data would be a known limitation of the data because most of the data is self-reported and as humans, we are always apt to make some sort of errors. The manually collected data has an even higher probability of inaccuracies because it passes through two different hands."
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the p ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the probability that you win the game?You have purchased a used car. Historically, the chance of spending $2000 in repairs for the car is 72% and the chance of spending $3000 is 28%. What is the expected value of the amount you will spend in repairs for the car?Three cards are drawn from a 52-card deck of cards. What is the probability that all three cards are hearts?Requirements:Show all your work so that the instructor clearly sees how you solved the problem.Make sure your final answer is clear and visible.DEAR writer please understand that even thouh this is a math paper, it still MUST be written in APA format. APA formatting catches: The title of your paper should appear in four locations (title page header, title page, body header, first line of body) and should be exactly the same in each location. Your title page header should be “Running head: TITLE IN ALL CAPS. We drop the “Running head:” portion on the other page headers. Please use in-body headings as well. All in-body headings should be centered, and all of your headings should be Level 1 headings.ALSO....make sure to include an introduction, conclusion and reference citation when possible. Thank You!
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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) ...
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.
American College of Education Advanced Topics in Statistics Questions
i need fixt it For question 2a, check the “id” variable to be sure you have the correct cases numbers that need to be ...
American College of Education Advanced Topics in Statistics Questions
i need fixt it For question 2a, check the “id” variable to be sure you have the correct cases numbers that need to be removed. There are three cases that should be removed that you did not list. Also, 18 and 1129 will automatically be removed since there is missing data for these cases (no MAH_1 value). Some of your values are different than what I have. Be sure you run the multiple regression with the profile-b data set and only with cases that are MAH_1 ≤ 22.458. For question 2h, you should not include the values for the variables that are not statistically significant. The regression equation should only include those variables that are statistically significant. For 2i, also mention that these two variables are not statistically significant and provide the p (sig) value.
QMB 2100 USF Distribution & Standard Deviation Statistical Problems
Answer the questions in the picture below. Simple questions. The picture can be enlarged. Thank you for your help
QMB 2100 USF Distribution & Standard Deviation Statistical Problems
Answer the questions in the picture below. Simple questions. The picture can be enlarged. Thank you for your help
MTH 218 UOPX Wk 5 Statistical Knowledge on Census Data Discussion
Consider the 2020 Census. The purpose a census is to gather information about all people living in the United States of Am ...
MTH 218 UOPX Wk 5 Statistical Knowledge on Census Data Discussion
Consider the 2020 Census. The purpose a census is to gather information about all people living in the United States of America. Once the data is collected, it can be used to describe and infer information about the population.Respond to the following in a minimum of 175 words:Given what you have learned so far in the course, what are some ways you could use your statistics knowledge to work with census data?What limitations would you have if you were using the simple procedures addressed in Wks 1-4 of this course?What additional statistical knowledge might be helpful to enhance your analysis?Post 2 replies to classmates or your faculty member. Be constructive and professional.**This was the original question and I need to reply to my classmate in a minimum 100 words without references:This is a classmate's response to the above discussion question:"One statistical method we can apply to the census data is to determine the confidence interval and margin of error of the sample compared to the total population. I believe this will be an important piece of the analysis because we would want to establish the level of certainty/uncertainty in the data collected. The data can also be split into different categories based on the answers to the questions (demographics, race, age, region, etc). We can use t-testing to compare multiple samples and find the p-value, which will provide information on how statistically relevant the data actually is. Establishing relevance and certainty in the data will give us a better understanding of how well the sample represents the population, therefore allowing us to making inferences about the population as a whole. The accuracy of the data would be a known limitation of the data because most of the data is self-reported and as humans, we are always apt to make some sort of errors. The manually collected data has an even higher probability of inaccuracies because it passes through two different hands."
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the p ...
MTH109 Colorado State University Module 6 Probability calculations Paper
Option #1: Probability #1The odds of winning a game of HORSE in basketball is 3 to 5 against your opponent. What is the probability that you win the game?You have purchased a used car. Historically, the chance of spending $2000 in repairs for the car is 72% and the chance of spending $3000 is 28%. What is the expected value of the amount you will spend in repairs for the car?Three cards are drawn from a 52-card deck of cards. What is the probability that all three cards are hearts?Requirements:Show all your work so that the instructor clearly sees how you solved the problem.Make sure your final answer is clear and visible.DEAR writer please understand that even thouh this is a math paper, it still MUST be written in APA format. APA formatting catches: The title of your paper should appear in four locations (title page header, title page, body header, first line of body) and should be exactly the same in each location. Your title page header should be “Running head: TITLE IN ALL CAPS. We drop the “Running head:” portion on the other page headers. Please use in-body headings as well. All in-body headings should be centered, and all of your headings should be Level 1 headings.ALSO....make sure to include an introduction, conclusion and reference citation when possible. Thank You!
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