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MTH410 CSU Poisson and Hypergeometric Probability Distribution Paper
As a manager of an organization, what probability distribution from this week would you use if you wanted to study one asp ...
MTH410 CSU Poisson and Hypergeometric Probability Distribution Paper
As a manager of an organization, what probability distribution from this week would you use if you wanted to study one aspect of your annual employee turnover? Explain why you would use the probability distribution to study the chosen aspect of employee turnover. In your post, be sure to identify the statistical formulas specifically and what additional data you would need to understand the chosen aspect of employee turnover. For example, some aspects of employee turnovers are employee age, years employed, hours worked per week, number of turnovers, number of pay raises, years employed until the first pay raise, satisfaction or morale level on a scale of 1 to 10,…,etc.Here are the probability distributions that we have covered.Discrete:Binomial - See Section 5.5 as to when you may use it.Poisson - See Section 5.6 as to when you may use it.Hypergeometric - See Section 5.7 as to when you may use it.Continuous:Uniform - See Section 6.1 as to when you may use it.Normal - See Section 6.2Exponential - See Section 6.4 as to when you may use it.Do not forget to explain why your probability distribution applies.Be sure to support your statements with logic and argument, citing any sources referenced. Post your initial response early, and check back often to continue the discussion.
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wan ...
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wants to use a t-test for independent groups to analyze her results. Help her plan her study. What is her independent variable (IV) here? Describe two conditions she could create for the IV in her study. What is her dependent variable (DV) here? Describe a way to measure the DV so that each participant would have one score at the end. Would this DV measure be on a continuous scale of measurement? Why is this important? Explain and justify.Please respond to the above question using 250 words. Please also use at least 1 reference that is from a peer reviewed article or journal not a website reference. Please also cite the reference in APA 6th edition format.
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of t ...
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of the sampling distribution as well as confidence intervals of specific data. Finally, you explore the results of data to determine implications for social change. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “The Normal Distribution” (pp. 151-177) Chapter 6, “Sampling and Sampling Distributions” (pp. 179-209) Chapter 7, “Estimation” (pp. 211-240) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Selecting and Sampling Cases” Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select the Interpreting Confidence Intervals – new d3.js visualization link, once you select the link, follow the instructions to view the interactive for confidence intervals. This interactive will help you to visualize and understand confidence intervals. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Optional Resources Rice University, University of Houston Clear Lake, and Tufts University. (n.d.). Online Statistics Education: An Interactive Multimedia Course of Study. Retrieved from http://onlinestatbook.com/2/estimation/ci_sim.html Use this website for your practice as you consider confidence intervals and how the width changes. Also, consider why the width might be important. Skill Builders: Confidence Intervals Sampling Distributions To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course. Discussion: The Importance of Relationships As its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval. For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision. To prepare for this Discussion: Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 7, p. 188, consider Hispanic migration and earnings and focus on how different levels of confidence and sample size work together. Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals. Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals. Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you. Using SPSS: Take a random sample of 100. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Take another random sample of 400. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Post your results, the mean of Age to verify the dataset you used, and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.
Week 6 DQ 2, statistics homework help
A pharmaceutical company conducts a study to evaluate the relationship between length of time taking drug X and size of tu ...
Week 6 DQ 2, statistics homework help
A pharmaceutical company conducts a study to evaluate the relationship between length of time taking drug X and size of tumor. They enlist 2,400 patients with the same type of benign tumor who have been on drug X for varying lengths of time (measured in days). They find that the longer the patient is on the drug, the smaller the patient’s tumor size (measured in volume). In fact, they report the results as r(2398) = -.21, with significance of p < .0001. What is your initial perception of this information? What are other ways, beyond looking at the p-value alone, you could use to try to interpret what this outcome of r(2398) = -.21 tells us about the relationship between length of time taking drug X and the size of the tumor? Support your responses.Please provide a 250 word response to the above question. Please also use at least 1 peer reviewed article as a reference and please list reference in paper in APA 6th edition format.
5 pages
Review W8 Final Exam Ma105 College
A manufacturer of lighting fixtures has daily production costs of where C is the total cost (in dollars) and x is the numb ...
Review W8 Final Exam Ma105 College
A manufacturer of lighting fixtures has daily production costs of where C is the total cost (in dollars) and x is the number of units produced. How ...
Springdale Shoppers Telephone Survey to Identify Strengths and Weaknesses Worksheet
Option #1: Springdale Shopping SurveyThe major shopping areas in the community of Springdale include Springdale Mall, West ...
Springdale Shoppers Telephone Survey to Identify Strengths and Weaknesses Worksheet
Option #1: Springdale Shopping SurveyThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.We will concentrate on variables 18-25, which reflect how important each of eight different attributes is in the respondent's selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager "fine-tune" his or her shopping area to make it a more attractive place to shop.18 Easy to return/exchange goods19 High quality of goods20 Low prices21 Good variety of sizes/styles22 Sales staff helpful/friendly23 Convenient shopping hours24 Clean stores and surroundings25 A lot of bargain salesPerform the following operations for variables 18-25:Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the five-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.Based on the results for question 1, which attributes seem to be the most important and the least important in respondents' choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?Determine the correlation coefficient between variable 19 and variables 21-25. Provide an explanation of these relationships. Show your calculations for each correlation coefficient within the spreadsheet.Requirements:Your paper should be 2-3 pages in length (not counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library is a great place to find resources. Your textbook is a credible resource.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the general applications of the topic or it might introduce the unique terminology associated with the topic.The body of your paper should address the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from your analysis in completing the assignment. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs referenced in the paper. (Note: The minimum required length excludes any tables or graphs.)Document formatting, citations, and style should conform to the CSU Global Writing Center (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template Examples/Papers Essays, Figures and Tables, and others).NOTE: You MUST submit your Excel file with your report. This will allow you to qualify for consideration for partial credit if any errors are found in your report.
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MTH410 CSU Poisson and Hypergeometric Probability Distribution Paper
As a manager of an organization, what probability distribution from this week would you use if you wanted to study one asp ...
MTH410 CSU Poisson and Hypergeometric Probability Distribution Paper
As a manager of an organization, what probability distribution from this week would you use if you wanted to study one aspect of your annual employee turnover? Explain why you would use the probability distribution to study the chosen aspect of employee turnover. In your post, be sure to identify the statistical formulas specifically and what additional data you would need to understand the chosen aspect of employee turnover. For example, some aspects of employee turnovers are employee age, years employed, hours worked per week, number of turnovers, number of pay raises, years employed until the first pay raise, satisfaction or morale level on a scale of 1 to 10,…,etc.Here are the probability distributions that we have covered.Discrete:Binomial - See Section 5.5 as to when you may use it.Poisson - See Section 5.6 as to when you may use it.Hypergeometric - See Section 5.7 as to when you may use it.Continuous:Uniform - See Section 6.1 as to when you may use it.Normal - See Section 6.2Exponential - See Section 6.4 as to when you may use it.Do not forget to explain why your probability distribution applies.Be sure to support your statements with logic and argument, citing any sources referenced. Post your initial response early, and check back often to continue the discussion.
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wan ...
RES-845 Week 4 DQ 1 Consider Mary's experiment regarding whether learning of 6th graders, statistics homework help
Mary is planning a study to see if learning of 6th graders on a math lesson is affected by background noise level. She wants to use a t-test for independent groups to analyze her results. Help her plan her study. What is her independent variable (IV) here? Describe two conditions she could create for the IV in her study. What is her dependent variable (DV) here? Describe a way to measure the DV so that each participant would have one score at the end. Would this DV measure be on a continuous scale of measurement? Why is this important? Explain and justify.Please respond to the above question using 250 words. Please also use at least 1 reference that is from a peer reviewed article or journal not a website reference. Please also cite the reference in APA 6th edition format.
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of t ...
Walden University Wk 4 Sampling Distributions & Confidence Intervals Paper
In this week, you will explore probability as it relates to an observed occurrence. You also will explore the concept of the sampling distribution as well as confidence intervals of specific data. Finally, you explore the results of data to determine implications for social change. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “The Normal Distribution” (pp. 151-177) Chapter 6, “Sampling and Sampling Distributions” (pp. 179-209) Chapter 7, “Estimation” (pp. 211-240) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 3, “Selecting and Sampling Cases” Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html As you review this web blog, select the Interpreting Confidence Intervals – new d3.js visualization link, once you select the link, follow the instructions to view the interactive for confidence intervals. This interactive will help you to visualize and understand confidence intervals. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Optional Resources Rice University, University of Houston Clear Lake, and Tufts University. (n.d.). Online Statistics Education: An Interactive Multimedia Course of Study. Retrieved from http://onlinestatbook.com/2/estimation/ci_sim.html Use this website for your practice as you consider confidence intervals and how the width changes. Also, consider why the width might be important. Skill Builders: Confidence Intervals Sampling Distributions To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course. Discussion: The Importance of Relationships As its name implies, confidence intervals provide a range of values, along with a level of confidence, to serve as an estimate of some unknown population value. Since it is rare to have access to the entire population, you must frequently rely on the confidence interval of the sample to make some inference about the population of interest. Before making accurate inferences to the population, we need to fully understand how the three key components of the interval—variability in the data, sample size, and confidence level—impact the width of the interval. For this Discussion, you will explore the relationship between these components and understand the trade-off between reducing risk in our confidence of estimates and increasing precision. To prepare for this Discussion: Review Chapters 6 and 7 of the Frankfort-Nachmias & Leon-Guerrero text and in Chapter 7, p. 188, consider Hispanic migration and earnings and focus on how different levels of confidence and sample size work together. Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of confidence intervals. Use the Course Guide and Assignment Help found in this week’s Learning Resources to search for a quantitative article related to confidence intervals. Using the SPSS software, General Social Survey dataset and choose a quantitative variable that interests you. Using SPSS: Take a random sample of 100. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Take another random sample of 400. Calculate the 95% confidence interval for the variable. Calculate a 90% confidence interval. Post your results, the mean of Age to verify the dataset you used, and an explanation of how different levels of confidence and sample size affect the width of the confidence interval. Next, consider the statement, “Confidence intervals are underutilized” and explain what the implications might be of using or not using confidence intervals. Provide examples based on the results of your data. Also, use your research to support your findings.
Week 6 DQ 2, statistics homework help
A pharmaceutical company conducts a study to evaluate the relationship between length of time taking drug X and size of tu ...
Week 6 DQ 2, statistics homework help
A pharmaceutical company conducts a study to evaluate the relationship between length of time taking drug X and size of tumor. They enlist 2,400 patients with the same type of benign tumor who have been on drug X for varying lengths of time (measured in days). They find that the longer the patient is on the drug, the smaller the patient’s tumor size (measured in volume). In fact, they report the results as r(2398) = -.21, with significance of p < .0001. What is your initial perception of this information? What are other ways, beyond looking at the p-value alone, you could use to try to interpret what this outcome of r(2398) = -.21 tells us about the relationship between length of time taking drug X and the size of the tumor? Support your responses.Please provide a 250 word response to the above question. Please also use at least 1 peer reviewed article as a reference and please list reference in paper in APA 6th edition format.
5 pages
Review W8 Final Exam Ma105 College
A manufacturer of lighting fixtures has daily production costs of where C is the total cost (in dollars) and x is the numb ...
Review W8 Final Exam Ma105 College
A manufacturer of lighting fixtures has daily production costs of where C is the total cost (in dollars) and x is the number of units produced. How ...
Springdale Shoppers Telephone Survey to Identify Strengths and Weaknesses Worksheet
Option #1: Springdale Shopping SurveyThe major shopping areas in the community of Springdale include Springdale Mall, West ...
Springdale Shoppers Telephone Survey to Identify Strengths and Weaknesses Worksheet
Option #1: Springdale Shopping SurveyThe major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.We will concentrate on variables 18-25, which reflect how important each of eight different attributes is in the respondent's selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager "fine-tune" his or her shopping area to make it a more attractive place to shop.18 Easy to return/exchange goods19 High quality of goods20 Low prices21 Good variety of sizes/styles22 Sales staff helpful/friendly23 Convenient shopping hours24 Clean stores and surroundings25 A lot of bargain salesPerform the following operations for variables 18-25:Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the five-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.Based on the results for question 1, which attributes seem to be the most important and the least important in respondents' choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?Determine the correlation coefficient between variable 19 and variables 21-25. Provide an explanation of these relationships. Show your calculations for each correlation coefficient within the spreadsheet.Requirements:Your paper should be 2-3 pages in length (not counting the title page and references page) and cite and integrate at least one credible outside source. The CSU Global Library is a great place to find resources. Your textbook is a credible resource.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the general applications of the topic or it might introduce the unique terminology associated with the topic.The body of your paper should address the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from your analysis in completing the assignment. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.Include any tables of data or calculations, calculated values, and/or graphs referenced in the paper. (Note: The minimum required length excludes any tables or graphs.)Document formatting, citations, and style should conform to the CSU Global Writing Center (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template Examples/Papers Essays, Figures and Tables, and others).NOTE: You MUST submit your Excel file with your report. This will allow you to qualify for consideration for partial credit if any errors are found in your report.
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