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There is a 10% probability that someone who books a flight will not show up for it. There are 18 seats sold at a special discount and the airline company has booked 20 passengers for these seats. What is the probability that more than 18 will show up to take this flight, creating an over booking problem
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MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most ...
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most of the hard work for statisticians. This project will help you understand how an informative decision is made using data analysis. After completing this project, you should be able to determine which statistical procedures are appropriate; use StatCrunch to carry out the procedures and interpret the output
The Database of UVA (Excel file) students contains information on the undergraduate students at University of Virginia. This list contains the data for different Qualitative and Quantitative variable. Your project is to obtain the results based on the following questions using StatCrunch. Copy the StatCrunch results (graph plus answer) into summary document using the guidelines in section C.
Directions:
Do all of the work below with the Database of MATH ACT SCORES Download MATH ACT SCORES
Data: The Data set is on the project page on canvas(MATH ACT SCORES). Use StatCrunch (in MyLab Statistics) to obtain results for the following questions.
A) Exploratory Data Analysis
Obtain the mean and standard deviation for ACT Math scores for each class level (freshmen, sophomores, juniors, seniors) and interpret the results
Obtain the five number summary of ACT Math score for each class levels. Do any of these class levels have outliers?
Construct a boxplot and use it to investigate the data for outliers
Construct a histogram, and normal probability plot (QQ Plot) for ACT Math score for each class level,
B) Inferential Statistics
6. Construct and interpret a 95% confidence interval for µ, for the mean ACT Math score for each class level.
7 Using regression analysis (hint, use scatter plot, r, r2 ) , investigate if there is a relationship between Age and performance in ACT Math score.; . provide an equation can be used to predict ACT math score based on age,
Write a Summary and Findings of the Project
C) Write-up
Write a brief introduction of the project.
o Interpret the mean, and standard deviation in context of the data given.
o Compare the measures of center and comment on which measure of center would best describe the data given.
o Comment on the shape of the distribution, which class level appears to be more approximately normal
o Are there any outliers in the data? Include results of your investigation for outliers. Identify which class level has an outlier
o Comment on your assessment of normality.
o Which test will be most appropriate for the inferential statistics (confidence Interval)? Z-test or t-test? Why?
o Write an interpretation for the confidence interval estimate in context of the data.
o State the summary, interpretation and conclusion of your Investigation if there is a relationship between Age and performance in ACT Math score of undergraduate student at UVA.; Provide an equation can be used to predict ACT math score based on age; how reliable would the prediction be?
PSY 2317 University of Houston Regression Equation of the Regression Model Questions
Goal Setting and GPACetin (2015) was interested in individual differences in goal setting behavior and performance in coll ...
PSY 2317 University of Houston Regression Equation of the Regression Model Questions
Goal Setting and GPACetin (2015) was interested in individual differences in goal setting behavior and performance in college students. To investigate the hypothesized association between the two variables, Cetin collected goal setting and grade point average (GPA) data from 166 college students. Goal setting was measured with a subscale from the Academic Self-Regulated Learning Scale. Students' GPA was measured via self-report. The goal_setting_gpa.csv data set simulates some of the data so that it corresponds to the results in the original study. We can use it to (a) the null hypothesis that there is no association between self-reported goal setting behavior and self-reported academic performance, and (b) construct a regression equation for predicting GPA from goal setting behavior.Cetin, B. (2015). Academic motivation and self-regulated learning in predicting academic achievement in college. Journal of International Education Research, 11(2), 95-106.(1) Download goal_setting_gpa.csv and open it in Jamovi.(2) Make sure the measure type and data type of the variables are correct.(3) From the Regression menu select Correlation Matrix. (4) In the Analysis panel, move gpa into the Variables box first and then goal_setting. We do it in this order because gpa is the variable we want to predict, which means that on a scatterplot, it should appear on the Y axis.(5) From the Correlation Coefficients menu select Pearson.(6) From the Hypothesis menu select Correlated.This specifies the alternative hypothesis, that the two varoables are correlated.(7) From the Additional Options menu select Report significance and N.(8) From the Plot menu select Correlation Matrix.(9) While still in the Analysis panel, from the Regression menu at the top, select Linear Regression.(10) Move gpa to the Dependent Variable box and move goal-setting to the Covariates box.(11) From the Model Fit menu select R, R2, and RMSE (which is the same thing as standard error of estimate).(12) Save the Jamovi file as Ch14_YourLastName.omv and use it to answer the questions on the worksheet.Instructions for submitting this assignment.(1) Locate Ch14_YourLastName.omv, and Ch14 Homework.docx where you saved them on your computer.(2) Click the title of this assignment (Ch14 Homework) to open the Upload Assignment page.(3) In the ASSIGNMENT SUBMISSION section, attach Ch14_YourLastName.omv and the Ch14 Homework file. Click Submit.(4) If you submit this assignment early enough, I might have time to provide feedback that you can use to improve it and possibly improve your grade. So soon after you submit it, return to this assignment to see if I've given you any feedback. Click the assignment title and on the Review Submission History page you'll see the details of your prior submissions. To revise a prior submission, click Start New, download and revise, be sure to save it, and upload it as previously.
Does the OTR time appear to be stable, statistics homework help
The data in below table lists country code and the order to remittance (OTR) time for hardware / software installations fo ...
Does the OTR time appear to be stable, statistics homework help
The data in below table lists country code and the order to remittance (OTR) time for hardware / software installations for the last 76 installations (from first to last). OTR is the time it takes from an order being placed until the system is installed and we receive payment (remittance). Because this company does business internationally, it also notes the country of installation using a country code. This code is listed in the first column.Use the date in table above and answer the following questions in the space provided below:Does the OTR time appear to be stable? Why or why not?If you were to use a control chart to evaluate stability, which chart would you use? Why?What can you learn about the distribution of the installation process? Does it appear that the country has an impact on installation time? Why or why not?
Hondros College Financial Modeling and Engineering Exam Practice
Answer each of the below questions.Please write neatly or feel free type your answers but if you do, please use Equation E ...
Hondros College Financial Modeling and Engineering Exam Practice
Answer each of the below questions.Please write neatly or feel free type your answers but if you do, please use Equation Editor for any formulas. Questions on Key Concepts from Stochastic Calculus, Questions related to Black-Scholes, Question on Replicating Portfolios and Deriving a PDE for the Finite Difference Method, Questions on the Binomial Lattice, Questions on GARCH, Questions on Portfolio Optimization
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Most Popular Content
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most ...
MTH 245 NVCC Statistical Techniques Paper
Purpose:
This project is to help you apply concepts to real world, real data analysis. In the real-world computers do most of the hard work for statisticians. This project will help you understand how an informative decision is made using data analysis. After completing this project, you should be able to determine which statistical procedures are appropriate; use StatCrunch to carry out the procedures and interpret the output
The Database of UVA (Excel file) students contains information on the undergraduate students at University of Virginia. This list contains the data for different Qualitative and Quantitative variable. Your project is to obtain the results based on the following questions using StatCrunch. Copy the StatCrunch results (graph plus answer) into summary document using the guidelines in section C.
Directions:
Do all of the work below with the Database of MATH ACT SCORES Download MATH ACT SCORES
Data: The Data set is on the project page on canvas(MATH ACT SCORES). Use StatCrunch (in MyLab Statistics) to obtain results for the following questions.
A) Exploratory Data Analysis
Obtain the mean and standard deviation for ACT Math scores for each class level (freshmen, sophomores, juniors, seniors) and interpret the results
Obtain the five number summary of ACT Math score for each class levels. Do any of these class levels have outliers?
Construct a boxplot and use it to investigate the data for outliers
Construct a histogram, and normal probability plot (QQ Plot) for ACT Math score for each class level,
B) Inferential Statistics
6. Construct and interpret a 95% confidence interval for µ, for the mean ACT Math score for each class level.
7 Using regression analysis (hint, use scatter plot, r, r2 ) , investigate if there is a relationship between Age and performance in ACT Math score.; . provide an equation can be used to predict ACT math score based on age,
Write a Summary and Findings of the Project
C) Write-up
Write a brief introduction of the project.
o Interpret the mean, and standard deviation in context of the data given.
o Compare the measures of center and comment on which measure of center would best describe the data given.
o Comment on the shape of the distribution, which class level appears to be more approximately normal
o Are there any outliers in the data? Include results of your investigation for outliers. Identify which class level has an outlier
o Comment on your assessment of normality.
o Which test will be most appropriate for the inferential statistics (confidence Interval)? Z-test or t-test? Why?
o Write an interpretation for the confidence interval estimate in context of the data.
o State the summary, interpretation and conclusion of your Investigation if there is a relationship between Age and performance in ACT Math score of undergraduate student at UVA.; Provide an equation can be used to predict ACT math score based on age; how reliable would the prediction be?
PSY 2317 University of Houston Regression Equation of the Regression Model Questions
Goal Setting and GPACetin (2015) was interested in individual differences in goal setting behavior and performance in coll ...
PSY 2317 University of Houston Regression Equation of the Regression Model Questions
Goal Setting and GPACetin (2015) was interested in individual differences in goal setting behavior and performance in college students. To investigate the hypothesized association between the two variables, Cetin collected goal setting and grade point average (GPA) data from 166 college students. Goal setting was measured with a subscale from the Academic Self-Regulated Learning Scale. Students' GPA was measured via self-report. The goal_setting_gpa.csv data set simulates some of the data so that it corresponds to the results in the original study. We can use it to (a) the null hypothesis that there is no association between self-reported goal setting behavior and self-reported academic performance, and (b) construct a regression equation for predicting GPA from goal setting behavior.Cetin, B. (2015). Academic motivation and self-regulated learning in predicting academic achievement in college. Journal of International Education Research, 11(2), 95-106.(1) Download goal_setting_gpa.csv and open it in Jamovi.(2) Make sure the measure type and data type of the variables are correct.(3) From the Regression menu select Correlation Matrix. (4) In the Analysis panel, move gpa into the Variables box first and then goal_setting. We do it in this order because gpa is the variable we want to predict, which means that on a scatterplot, it should appear on the Y axis.(5) From the Correlation Coefficients menu select Pearson.(6) From the Hypothesis menu select Correlated.This specifies the alternative hypothesis, that the two varoables are correlated.(7) From the Additional Options menu select Report significance and N.(8) From the Plot menu select Correlation Matrix.(9) While still in the Analysis panel, from the Regression menu at the top, select Linear Regression.(10) Move gpa to the Dependent Variable box and move goal-setting to the Covariates box.(11) From the Model Fit menu select R, R2, and RMSE (which is the same thing as standard error of estimate).(12) Save the Jamovi file as Ch14_YourLastName.omv and use it to answer the questions on the worksheet.Instructions for submitting this assignment.(1) Locate Ch14_YourLastName.omv, and Ch14 Homework.docx where you saved them on your computer.(2) Click the title of this assignment (Ch14 Homework) to open the Upload Assignment page.(3) In the ASSIGNMENT SUBMISSION section, attach Ch14_YourLastName.omv and the Ch14 Homework file. Click Submit.(4) If you submit this assignment early enough, I might have time to provide feedback that you can use to improve it and possibly improve your grade. So soon after you submit it, return to this assignment to see if I've given you any feedback. Click the assignment title and on the Review Submission History page you'll see the details of your prior submissions. To revise a prior submission, click Start New, download and revise, be sure to save it, and upload it as previously.
Does the OTR time appear to be stable, statistics homework help
The data in below table lists country code and the order to remittance (OTR) time for hardware / software installations fo ...
Does the OTR time appear to be stable, statistics homework help
The data in below table lists country code and the order to remittance (OTR) time for hardware / software installations for the last 76 installations (from first to last). OTR is the time it takes from an order being placed until the system is installed and we receive payment (remittance). Because this company does business internationally, it also notes the country of installation using a country code. This code is listed in the first column.Use the date in table above and answer the following questions in the space provided below:Does the OTR time appear to be stable? Why or why not?If you were to use a control chart to evaluate stability, which chart would you use? Why?What can you learn about the distribution of the installation process? Does it appear that the country has an impact on installation time? Why or why not?
Hondros College Financial Modeling and Engineering Exam Practice
Answer each of the below questions.Please write neatly or feel free type your answers but if you do, please use Equation E ...
Hondros College Financial Modeling and Engineering Exam Practice
Answer each of the below questions.Please write neatly or feel free type your answers but if you do, please use Equation Editor for any formulas. Questions on Key Concepts from Stochastic Calculus, Questions related to Black-Scholes, Question on Replicating Portfolios and Deriving a PDE for the Finite Difference Method, Questions on the Binomial Lattice, Questions on GARCH, Questions on Portfolio Optimization
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