How do you find the inverse of a function?
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How do you find the inverse of a function?
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sample size of population
In a certain population, body weights are normally distributed with a mean of 152 pounds and a standard deviation of 26 po ...
sample size of population
In a certain population, body weights are normally distributed with a mean of 152 pounds and a standard deviation of 26 pounds. How many people must be surveyed if we want to estimate the percentage who weigh more than 180 pounds? Assume that we want 96% confidence that the error is no more than 2.5 percentage points.
Moderation in SPSS
Part 1 Review the datasets provided.Construct a research question based on one of those datasets. Based on the rese ...
Moderation in SPSS
Part 1 Review the datasets provided.Construct a research question based on one of those datasets. Based on the research question you created, complete the following tasks: Fit a multiple regression model, using two or more independent variables. Think about whether or not the model will meet assumptions.Fit the model, testing for moderation between two key variables.Analyze the output, determining whether moderation was significant and how to interpret that result.Reflect on possible implications of social change. Write a 1- to 2-paragraph analysis in APA format that includes your data output and addresses each of the tasks listed above. Part 2 For this Assignment, you will critically evaluate a scholarly article related to moderation. Use the following article: https://class.waldenu.edu/courses/1/USW1.G3.201750/blog/_8544966_1/post/_762854_1/Wk%202%20Moderation.pdf Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts: Why did the authors use moderation in their multiple regression model?Do you think moderation is the most appropriate choice? Why or why not?Did the authors display the results in a figure or table?Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not? Datasets (choose one for part 1) https://nces.ed.gov/surveys/hsls09/ http://www.norc.org/Research/Projects/Pages/general-social-survey.aspx http://www.afrobarometer.org/data/merged-data https://www.cdc.gov/brfss/data_documentation/index.htm Resources Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.mode
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable ...
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable is Price, the asking price of a home. The data set contains the following explanatory
(independent) variables:
SqFt, the number of square feet for the home
Bedrooms, the number of bedrooms
Baths, the number of bathrooms
Garage, the number of cars that can fit in the garage
The data set contains 44 homes for sale in zip code 47904. a few homes have prices that are
somewhat high relative to the others. Similarly, some values for SqFt are relatively high. Exclude
any home with Price greater than $150,000 and any home with SqFt greater than 1800 ft2. After
excluding process, how many houses do you have in the data set? (20 p)
Regress price (dependent variable) on square feet (independent variable) and write the regression
equation. (18 p)
a. What proportion of the variance in Price variable can be explained by the Square Feet
variable?
b. Is this proportion of variance statistically significant at .05 level of significance? Justify
your answer.
c. Does Square feet significantly predict the price of the house? Justify your answer.
Recode the “Bedrooms” categorical variable to be Bed3 = 1 if the home has three or more
bedrooms and Bed3 = 0 if it does not. Bed3 is called as Dummy variable (indicator variable). (36
p)
Run the regression analysis including the variables of price and the dummy variable,
Bed3 and write the regression equation.
What proportion of variance in the price of the house can be explained by the number of
bedrooms of the house? Is this proportion of variance statistically significant at .05 level
of significance? Justify your answer.
Does number of bedrooms significantly predict the price of the house? Justify your
answer.
What is the predicted price for homes with two or fewer bedrooms (Bed3 = 0)? What is
the predicted price for homes with three or more bedrooms (Bed3 =1)There are 3 more questions. Bringing it to a total of 6Follow directions on assignment and display the work.PLEASE READ: I included extra documents labeled "HELP" in the beginning of their title to help guide you through the assignment that the instructor provided. It is similar to assignment and designed to help understand it. It is there for your reference and not necessary to use. The Case Study Data for Assignment #7 excel document and Assignment 7_Case Study_FIn330 pdf file are the only two needed to complete the assignmentThe rest are there for reference and any help.
Job Satisfaction Dummy Database & Statistical Error Excel Sheet Exercise
The Vice President of HR is tasked with overseeing the hiring of all new staff. She has noticed a disturbing trend recentl ...
Job Satisfaction Dummy Database & Statistical Error Excel Sheet Exercise
The Vice President of HR is tasked with overseeing the hiring of all new staff. She has noticed a disturbing trend recently. Employees who are younger and have only worked for a few companies are less satisfied with their work. She thinks this could be because they fear they are missing out on other opportunities.However, she wants to know if there is data to support this. Therefore, she needs to know if there is a difference in job satisfaction between employees who have worked for more than 4 companies and employees who have worked for 4 or less companies. Use the dummy database to answer the following questions:1. What is the mean job satisfaction for employees who have worked for more than 4 companies?2. What is the mean job satisfaction for employees than have worked for 4 or less companies?3. What is the t-statistic for the difference of those means?4. What is the p-value for that t-statistic a. <.05 and >.01 b. <.001 c. <.01 and >.001 d. >.055. Is the difference in job satisfaction between employees who have worked for more than 4 companies and employees who have worked for 4 or less companies significant? a. no b. Yes, the p-value <.01 c.Yes, the p-value <.05 d. Yes, the p-value <.001
9 pages
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sample size of population
In a certain population, body weights are normally distributed with a mean of 152 pounds and a standard deviation of 26 po ...
sample size of population
In a certain population, body weights are normally distributed with a mean of 152 pounds and a standard deviation of 26 pounds. How many people must be surveyed if we want to estimate the percentage who weigh more than 180 pounds? Assume that we want 96% confidence that the error is no more than 2.5 percentage points.
Moderation in SPSS
Part 1 Review the datasets provided.Construct a research question based on one of those datasets. Based on the rese ...
Moderation in SPSS
Part 1 Review the datasets provided.Construct a research question based on one of those datasets. Based on the research question you created, complete the following tasks: Fit a multiple regression model, using two or more independent variables. Think about whether or not the model will meet assumptions.Fit the model, testing for moderation between two key variables.Analyze the output, determining whether moderation was significant and how to interpret that result.Reflect on possible implications of social change. Write a 1- to 2-paragraph analysis in APA format that includes your data output and addresses each of the tasks listed above. Part 2 For this Assignment, you will critically evaluate a scholarly article related to moderation. Use the following article: https://class.waldenu.edu/courses/1/USW1.G3.201750/blog/_8544966_1/post/_762854_1/Wk%202%20Moderation.pdf Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts: Why did the authors use moderation in their multiple regression model?Do you think moderation is the most appropriate choice? Why or why not?Did the authors display the results in a figure or table?Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not? Datasets (choose one for part 1) https://nces.ed.gov/surveys/hsls09/ http://www.norc.org/Research/Projects/Pages/general-social-survey.aspx http://www.afrobarometer.org/data/merged-data https://www.cdc.gov/brfss/data_documentation/index.htm Resources Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications.mode
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable ...
Case Study Assignment
We will work with the data for homes for sale in Lafayette and West Lafayette, Indiana. The response
(dependent) variable is Price, the asking price of a home. The data set contains the following explanatory
(independent) variables:
SqFt, the number of square feet for the home
Bedrooms, the number of bedrooms
Baths, the number of bathrooms
Garage, the number of cars that can fit in the garage
The data set contains 44 homes for sale in zip code 47904. a few homes have prices that are
somewhat high relative to the others. Similarly, some values for SqFt are relatively high. Exclude
any home with Price greater than $150,000 and any home with SqFt greater than 1800 ft2. After
excluding process, how many houses do you have in the data set? (20 p)
Regress price (dependent variable) on square feet (independent variable) and write the regression
equation. (18 p)
a. What proportion of the variance in Price variable can be explained by the Square Feet
variable?
b. Is this proportion of variance statistically significant at .05 level of significance? Justify
your answer.
c. Does Square feet significantly predict the price of the house? Justify your answer.
Recode the “Bedrooms” categorical variable to be Bed3 = 1 if the home has three or more
bedrooms and Bed3 = 0 if it does not. Bed3 is called as Dummy variable (indicator variable). (36
p)
Run the regression analysis including the variables of price and the dummy variable,
Bed3 and write the regression equation.
What proportion of variance in the price of the house can be explained by the number of
bedrooms of the house? Is this proportion of variance statistically significant at .05 level
of significance? Justify your answer.
Does number of bedrooms significantly predict the price of the house? Justify your
answer.
What is the predicted price for homes with two or fewer bedrooms (Bed3 = 0)? What is
the predicted price for homes with three or more bedrooms (Bed3 =1)There are 3 more questions. Bringing it to a total of 6Follow directions on assignment and display the work.PLEASE READ: I included extra documents labeled "HELP" in the beginning of their title to help guide you through the assignment that the instructor provided. It is similar to assignment and designed to help understand it. It is there for your reference and not necessary to use. The Case Study Data for Assignment #7 excel document and Assignment 7_Case Study_FIn330 pdf file are the only two needed to complete the assignmentThe rest are there for reference and any help.
Job Satisfaction Dummy Database & Statistical Error Excel Sheet Exercise
The Vice President of HR is tasked with overseeing the hiring of all new staff. She has noticed a disturbing trend recentl ...
Job Satisfaction Dummy Database & Statistical Error Excel Sheet Exercise
The Vice President of HR is tasked with overseeing the hiring of all new staff. She has noticed a disturbing trend recently. Employees who are younger and have only worked for a few companies are less satisfied with their work. She thinks this could be because they fear they are missing out on other opportunities.However, she wants to know if there is data to support this. Therefore, she needs to know if there is a difference in job satisfaction between employees who have worked for more than 4 companies and employees who have worked for 4 or less companies. Use the dummy database to answer the following questions:1. What is the mean job satisfaction for employees who have worked for more than 4 companies?2. What is the mean job satisfaction for employees than have worked for 4 or less companies?3. What is the t-statistic for the difference of those means?4. What is the p-value for that t-statistic a. <.05 and >.01 b. <.001 c. <.01 and >.001 d. >.055. Is the difference in job satisfaction between employees who have worked for more than 4 companies and employees who have worked for 4 or less companies significant? a. no b. Yes, the p-value <.01 c.Yes, the p-value <.05 d. Yes, the p-value <.001
9 pages
General Social Survey
The General Social Survey is a survey of the people of America of what they think about the national issue such as nationa ...
General Social Survey
The General Social Survey is a survey of the people of America of what they think about the national issue such as national spending priorities, ...
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