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Which is the equation of the line passing through (0, 8) and (4, 0)?
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msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-p ...
msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-profit, non-profit, small or large entity.The following are not acceptable topics:
A specific application/problem discussed in class
An application that uses descriptive statistics (i.e., graphs, percentages, measures of central tendency or dispersion)
The statistical procedure you choose to illustrate MUST be one that was covered in this course. You do not have to collect actual data from a business or apply the statistical procedure/calculate an answer.To complete your project, copy and paste the form on the second page of this document.Then, fill in all the blanks.You can adjust the size of the answer spaces as necessary – the lines are just there to indicate where the answers go.Do not hand in this instruction page.Criteria & Administration:Be concise.Your project submission must not exceed two (2) pages in length (12-point font). You must write this.Copies of documents/analyses written by someone else will not be accepted. Submit this project via the course website.The form provided is in bold font.Do not use bold font for your responses.Using a colored font (other than red) for your responses is preferable.Hints:If you need help finding ideas for business applications, read the problems at the end of the relevant sections/chapters of the textbook.These problems usually include a business application/context.And, you can always “Google it.”If you have difficulty finding an actual business application, you can design and propose one for a specific business.
MAT 101 Fortis College Centerville Week 5 Ratio and Proportions Questions
Just answer all the questions and make sure they’re correct that’s it that’s all thank you
MAT 101 Fortis College Centerville Week 5 Ratio and Proportions Questions
Just answer all the questions and make sure they’re correct that’s it that’s all thank you
Ivy Tech Community College The Percent Probability the Message Is Spam Worksheet
Spam Email Filters. This assignment is Question #60 on page 219 of the textbook (Anderson, D.R., et al, 2020).A study by F ...
Ivy Tech Community College The Percent Probability the Message Is Spam Worksheet
Spam Email Filters. This assignment is Question #60 on page 219 of the textbook (Anderson, D.R., et al, 2020).A study by Forbes indicated that the five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!. Many spam filters separate spam from ham (email not considered to be spam) through application of Bayes' theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below.shipping!0.051today!0.045here!0.034available0.014fingertips!0.014Also suppose that the proportions of ham messages that have these words are:shipping!0.0015today!0.0022here!0.0022available0.0041fingertips!0.0011a. If a message includes the word shipping!, what is the percent probability the message is spam? If a message includes the word shipping!, what is the percent probability the message is ham? Should messages that include the word shipping! be flagged as spam?b. If a message includes the word today!, what is the percent probability the message is spam? If a message includes the word here!, what is the percent probability the message is spam? Which of these two words is a stronger indicator that a message is spam? Why?c. If a messages includes the word available, what is the percent probability the message is spam? If a message includes the word fingertips!, what is the percent probability the message is spam? Which of these two words is a stronger indicator that a message is spam? Why?d. What insights to the results of parts (b) and (c) yield about what enables a spam filter that uses Bayes' theorem to work effectively?Requirement:Submit your Excel spreadsheet and written conclusion here, indicated in percentages. Your conclusion can be written in Excel or in a Word document. You will be graded on your completion of the calculations in Excel and the explanation of your conclusion. Remember to use good grammar, spelling, and punctuation in your explanation and include citations if references are used to support your explanation. This assignment is worth 50 points.
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Final Scholar.edited
“An evaluation of the interlink between fire/hazard/flood insurance with Condo fee, number of Housing is one of the univ ...
Final Scholar.edited
“An evaluation of the interlink between fire/hazard/flood insurance with Condo fee, number of Housing is one of the universal public health issues, ...
week 1 320 statistics
Unit 1: Identify Variable Types and Values Evaluation Title: Assignment 1 RubricInstructions:In this assignment, you will ...
week 1 320 statistics
Unit 1: Identify Variable Types and Values Evaluation Title: Assignment 1 RubricInstructions:In this assignment, you will be required to use the Heart Rate Dataset to complete the following:Identify the types of data represented by variablesThe range or types of values for each variableGive a brief written description of the variables, and how they are used in the data set.StepsOpen the Heart Rate Dataset in ExcelIdentify each of the variables contained in the dataset by typeIdentify the type of data each variable represents (e.g., qualitative or quantitative) and the possible values for eachBriefly describe how the variable is used in the dataset,(e.g., to identify a class, or to give a specific numeric value for an individual).Additional Instructions:Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must includeRunning headA title page withAssignment nameYour nameProfessor’s nameCourse
Data Analysis Hypothesis Testing Worksheet
Data Analysis: Hypothesis TestingUse the Sun Coast Remediation data set to conduct an independent samples t test, dependen ...
Data Analysis Hypothesis Testing Worksheet
Data Analysis: Hypothesis TestingUse the Sun Coast Remediation data set to conduct an independent samples t test, dependent samples (paired samples) t test, and ANOVA using the independent samples tab, paired samples tab, and ANOVA tab in the Sun Coast data file. The statistical output tables should be cut and pasted from Excel directly into the final project document.Independent Samples t Test: Hypothesis TestingRestate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p value in relation to alpha, and explicitly accept or reject the null and alternative hypotheses. See example below:Ho4: There is no statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).Ha4: There is a statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).Provide data output results from Excel Toolpak here. See example below:Interpret and explain the independent t test results below the Excel output here. Include alpha level, p value, and reject or accept the null hypothesis.Example:The results indicate that the mean values are lower for Group A; however, the results also indicate a p value of .37627 > .05. Therefore, the null hypothesis is accepted that there is no statistically significant difference in mean values of the DV between Group A (IV1) and Group B (IV2).Dependent Samples (Paired Samples) t Test: Hypothesis TestingRestate the hypotheses here.Provide data output results from Excel Toolpak here.Interpret and explain the dependent t test results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.ANOVA: Hypothesis TestingRestate the hypotheses here.Provide data output results from Excel Toolpak here.Interpret and explain the ANOVA results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
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Most Popular Content
msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-p ...
msn 601 project
Project Description:Identify and analyze a real-life, business application of statistics.The “business” can be a for-profit, non-profit, small or large entity.The following are not acceptable topics:
A specific application/problem discussed in class
An application that uses descriptive statistics (i.e., graphs, percentages, measures of central tendency or dispersion)
The statistical procedure you choose to illustrate MUST be one that was covered in this course. You do not have to collect actual data from a business or apply the statistical procedure/calculate an answer.To complete your project, copy and paste the form on the second page of this document.Then, fill in all the blanks.You can adjust the size of the answer spaces as necessary – the lines are just there to indicate where the answers go.Do not hand in this instruction page.Criteria & Administration:Be concise.Your project submission must not exceed two (2) pages in length (12-point font). You must write this.Copies of documents/analyses written by someone else will not be accepted. Submit this project via the course website.The form provided is in bold font.Do not use bold font for your responses.Using a colored font (other than red) for your responses is preferable.Hints:If you need help finding ideas for business applications, read the problems at the end of the relevant sections/chapters of the textbook.These problems usually include a business application/context.And, you can always “Google it.”If you have difficulty finding an actual business application, you can design and propose one for a specific business.
MAT 101 Fortis College Centerville Week 5 Ratio and Proportions Questions
Just answer all the questions and make sure they’re correct that’s it that’s all thank you
MAT 101 Fortis College Centerville Week 5 Ratio and Proportions Questions
Just answer all the questions and make sure they’re correct that’s it that’s all thank you
Ivy Tech Community College The Percent Probability the Message Is Spam Worksheet
Spam Email Filters. This assignment is Question #60 on page 219 of the textbook (Anderson, D.R., et al, 2020).A study by F ...
Ivy Tech Community College The Percent Probability the Message Is Spam Worksheet
Spam Email Filters. This assignment is Question #60 on page 219 of the textbook (Anderson, D.R., et al, 2020).A study by Forbes indicated that the five most common words appearing in spam emails are shipping!, today!, here!, available, and fingertips!. Many spam filters separate spam from ham (email not considered to be spam) through application of Bayes' theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below.shipping!0.051today!0.045here!0.034available0.014fingertips!0.014Also suppose that the proportions of ham messages that have these words are:shipping!0.0015today!0.0022here!0.0022available0.0041fingertips!0.0011a. If a message includes the word shipping!, what is the percent probability the message is spam? If a message includes the word shipping!, what is the percent probability the message is ham? Should messages that include the word shipping! be flagged as spam?b. If a message includes the word today!, what is the percent probability the message is spam? If a message includes the word here!, what is the percent probability the message is spam? Which of these two words is a stronger indicator that a message is spam? Why?c. If a messages includes the word available, what is the percent probability the message is spam? If a message includes the word fingertips!, what is the percent probability the message is spam? Which of these two words is a stronger indicator that a message is spam? Why?d. What insights to the results of parts (b) and (c) yield about what enables a spam filter that uses Bayes' theorem to work effectively?Requirement:Submit your Excel spreadsheet and written conclusion here, indicated in percentages. Your conclusion can be written in Excel or in a Word document. You will be graded on your completion of the calculations in Excel and the explanation of your conclusion. Remember to use good grammar, spelling, and punctuation in your explanation and include citations if references are used to support your explanation. This assignment is worth 50 points.
21 pages
Final Scholar.edited
“An evaluation of the interlink between fire/hazard/flood insurance with Condo fee, number of Housing is one of the univ ...
Final Scholar.edited
“An evaluation of the interlink between fire/hazard/flood insurance with Condo fee, number of Housing is one of the universal public health issues, ...
week 1 320 statistics
Unit 1: Identify Variable Types and Values Evaluation Title: Assignment 1 RubricInstructions:In this assignment, you will ...
week 1 320 statistics
Unit 1: Identify Variable Types and Values Evaluation Title: Assignment 1 RubricInstructions:In this assignment, you will be required to use the Heart Rate Dataset to complete the following:Identify the types of data represented by variablesThe range or types of values for each variableGive a brief written description of the variables, and how they are used in the data set.StepsOpen the Heart Rate Dataset in ExcelIdentify each of the variables contained in the dataset by typeIdentify the type of data each variable represents (e.g., qualitative or quantitative) and the possible values for eachBriefly describe how the variable is used in the dataset,(e.g., to identify a class, or to give a specific numeric value for an individual).Additional Instructions:Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must includeRunning headA title page withAssignment nameYour nameProfessor’s nameCourse
Data Analysis Hypothesis Testing Worksheet
Data Analysis: Hypothesis TestingUse the Sun Coast Remediation data set to conduct an independent samples t test, dependen ...
Data Analysis Hypothesis Testing Worksheet
Data Analysis: Hypothesis TestingUse the Sun Coast Remediation data set to conduct an independent samples t test, dependent samples (paired samples) t test, and ANOVA using the independent samples tab, paired samples tab, and ANOVA tab in the Sun Coast data file. The statistical output tables should be cut and pasted from Excel directly into the final project document.Independent Samples t Test: Hypothesis TestingRestate the null and alternative hypotheses, cut and paste the statistical output from Excel Toolpak, discuss the p value in relation to alpha, and explicitly accept or reject the null and alternative hypotheses. See example below:Ho4: There is no statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).Ha4: There is a statistically significant difference in mean values for the DV between Group A (IV1) and Group B (IV2).Provide data output results from Excel Toolpak here. See example below:Interpret and explain the independent t test results below the Excel output here. Include alpha level, p value, and reject or accept the null hypothesis.Example:The results indicate that the mean values are lower for Group A; however, the results also indicate a p value of .37627 > .05. Therefore, the null hypothesis is accepted that there is no statistically significant difference in mean values of the DV between Group A (IV1) and Group B (IV2).Dependent Samples (Paired Samples) t Test: Hypothesis TestingRestate the hypotheses here.Provide data output results from Excel Toolpak here.Interpret and explain the dependent t test results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.ANOVA: Hypothesis TestingRestate the hypotheses here.Provide data output results from Excel Toolpak here.Interpret and explain the ANOVA results below the Excel output here. Include alpha level, p value, and accept or reject the null and alternative hypotheses.
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