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Walden U. confidence intervals
Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based ...
Walden U. confidence intervals
Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based on a categorical variable and continuous variable from a specific dataset. In Week 3, you used the same variables as in Week 2 to perform a descriptive analysis of the data. For this Assignment, you will calculate a confidence interval in SPSS for one of the variables from your Week 2 and Week 3 Assignments.To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidence intervals.For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.Choose an appropriate variable from Weeks 2 and 3 and calculate a confidence interval in SPSS.Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document.Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
Week 6 Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outco ...
Week 6 Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential StatisticsScenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:ManufacturingHospitalConsumer FoodFinancial Select one of the databases based on the information in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the results This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs)Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.State the objective:What are the questions you are trying to address?Describe the population in the study clearly and in sufficient detail:What is the sample?Discuss the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data.Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).Identify any outliers in the data.Present any graphs or charts you think are appropriate for the data.Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs)Use the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs)Include the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?Format your assignment consistent with APA format. Must include references in APA format
Miami Dade College Misuse of Statistics Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of ...
Miami Dade College Misuse of Statistics Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.
regression model
. Find an article in scientific journal (or newspaper or website, ...) where
regression methods were used. Answer/provide ...
regression model
. Find an article in scientific journal (or newspaper or website, ...) where
regression methods were used. Answer/provide the following information: (a) Full citation to the article [e.g. author (year) title, Journal Volume:
pp-pp.] or include the reference information if you find the
example from newspaper or website. (b) What was the response variable? (c) What was (were) the predictor variables(s)? (d) How was the model used?
(e) Use one sentence to introduce the conclusion of this application
made by the person who implemented the linear regression model.
solve the question
solve the question for the Managerial Economicssolve the questions with details please and let me know if you have any que ...
solve the question
solve the question for the Managerial Economicssolve the questions with details please and let me know if you have any questionplease make sure your hand writing is clear
How to factor trinomials practice
Factor the trinomial completely.a. (y - 10)(y - 3)b. (y + 10)(y + 3)c. (y + 10)(y - 3)d. (y - 10)(y + 3)Fac ...
How to factor trinomials practice
Factor the trinomial completely.a. (y - 10)(y - 3)b. (y + 10)(y + 3)c. (y + 10)(y - 3)d. (y - 10)(y + 3)Factor the trinomial completely. a. (6p + 6)(p - 1)b. (2p + 3)(3p - 2)c. (3p + 3)(2p - 2)d. (6p - 1)(p + 6)Factor the polynomial completely. a. b. (9 + 4k)(9 - 4k)c. d. Prime polynomialFactor the polynomial completely.a. (n+6)2b. (n+6)(n-6)c. (n-6)2d. Prime polynomialFactor the trinomial completely.a. 2x(3y - 4)2b. 2(3xy + 4x)2c. 2x(3y + 4)(3y - 4)d. Prime polynomialFactor the polynomial completely.a. (x - 4)(3x - 18)b. 3(x - 4)(x - 6)c. (x + 2)(x - 7)d. (x - 10)(x - 1)Factor the polynomial completely. x4-1a. (x2+1)(x2-1)b. (x2+1(x+1)(x-1)c. (x+1)(x-1)(x+1)(x-1)d. (x2-1)(x+1)(x-1)Factor the polynomial completely.m3 - n3a. (m + n)(m - n)b. (m + n)(m - n)(m - n)c. (m - n)(m2 + mn + n2)d. (m + n)(m2 - mn + n2)Factor the polynomial completely.a3b+8b4a. (a+2b2)(a-2b2)b. b(a+2b)(a2-2ab+4b2)c. Prime polynomiald. b(a+2b)(a2-4ab+4b2)Factor the polynomial completely. (y+2)2-49a. (y + 2)(y - 7)(y + 7)b. (y + 9)(y - 5)c. (y - 9)(y + 5)d. (y - 9)(y + 9)
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Walden U. confidence intervals
Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based ...
Walden U. confidence intervals
Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based on a categorical variable and continuous variable from a specific dataset. In Week 3, you used the same variables as in Week 2 to perform a descriptive analysis of the data. For this Assignment, you will calculate a confidence interval in SPSS for one of the variables from your Week 2 and Week 3 Assignments.To prepare for this Assignment:Review the Learning Resources related to probability, sampling distributions, and confidence intervals.For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you chose) from Week 2.Choose an appropriate variable from Weeks 2 and 3 and calculate a confidence interval in SPSS.Once you perform your confidence interval, review Chapter 5 and 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your results and include a copy and paste of the appropriate visual display of the data into your document.Based on the results of your data in this confidence interval Assignment, provide a brief explanation of what the implications for social change might be.
Week 6 Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outco ...
Week 6 Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential StatisticsScenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:ManufacturingHospitalConsumer FoodFinancial Select one of the databases based on the information in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the results This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs)Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.State the objective:What are the questions you are trying to address?Describe the population in the study clearly and in sufficient detail:What is the sample?Discuss the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data.Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).Identify any outliers in the data.Present any graphs or charts you think are appropriate for the data.Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs)Use the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs)Include the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?Format your assignment consistent with APA format. Must include references in APA format
Miami Dade College Misuse of Statistics Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of ...
Miami Dade College Misuse of Statistics Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were misused/skewed and state the reason why you think the statistics were reported that way.
regression model
. Find an article in scientific journal (or newspaper or website, ...) where
regression methods were used. Answer/provide ...
regression model
. Find an article in scientific journal (or newspaper or website, ...) where
regression methods were used. Answer/provide the following information: (a) Full citation to the article [e.g. author (year) title, Journal Volume:
pp-pp.] or include the reference information if you find the
example from newspaper or website. (b) What was the response variable? (c) What was (were) the predictor variables(s)? (d) How was the model used?
(e) Use one sentence to introduce the conclusion of this application
made by the person who implemented the linear regression model.
solve the question
solve the question for the Managerial Economicssolve the questions with details please and let me know if you have any que ...
solve the question
solve the question for the Managerial Economicssolve the questions with details please and let me know if you have any questionplease make sure your hand writing is clear
How to factor trinomials practice
Factor the trinomial completely.a. (y - 10)(y - 3)b. (y + 10)(y + 3)c. (y + 10)(y - 3)d. (y - 10)(y + 3)Fac ...
How to factor trinomials practice
Factor the trinomial completely.a. (y - 10)(y - 3)b. (y + 10)(y + 3)c. (y + 10)(y - 3)d. (y - 10)(y + 3)Factor the trinomial completely. a. (6p + 6)(p - 1)b. (2p + 3)(3p - 2)c. (3p + 3)(2p - 2)d. (6p - 1)(p + 6)Factor the polynomial completely. a. b. (9 + 4k)(9 - 4k)c. d. Prime polynomialFactor the polynomial completely.a. (n+6)2b. (n+6)(n-6)c. (n-6)2d. Prime polynomialFactor the trinomial completely.a. 2x(3y - 4)2b. 2(3xy + 4x)2c. 2x(3y + 4)(3y - 4)d. Prime polynomialFactor the polynomial completely.a. (x - 4)(3x - 18)b. 3(x - 4)(x - 6)c. (x + 2)(x - 7)d. (x - 10)(x - 1)Factor the polynomial completely. x4-1a. (x2+1)(x2-1)b. (x2+1(x+1)(x-1)c. (x+1)(x-1)(x+1)(x-1)d. (x2-1)(x+1)(x-1)Factor the polynomial completely.m3 - n3a. (m + n)(m - n)b. (m + n)(m - n)(m - n)c. (m - n)(m2 + mn + n2)d. (m + n)(m2 - mn + n2)Factor the polynomial completely.a3b+8b4a. (a+2b2)(a-2b2)b. b(a+2b)(a2-2ab+4b2)c. Prime polynomiald. b(a+2b)(a2-4ab+4b2)Factor the polynomial completely. (y+2)2-49a. (y + 2)(y - 7)(y + 7)b. (y + 9)(y - 5)c. (y - 9)(y + 5)d. (y - 9)(y + 9)
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