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graph the height at any given time of a freefall ride that lifts riders to a height of 185ft and explain how to use this graph to estimate how long the riders would be in freefall if the ride were allowed to hit the ground before stopping.
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Part 1 - Preliminary Analysis
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
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
Use the Part 3: Inferential Statistics document.
Create (formulate) hypotheses
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Part 4 - Conclusion and Recommendations
Include the following:
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What do you infer from the statistical analysis?
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Are there any variables missing?
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Most Popular Content
4 pages
Evaluating Data Sets
I chose the Midwest data since it covers a large region giving a better understanding of consumption of energy in a vast a ...
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The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
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25 pages
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Spending is based on the income as well as other variables that are likely to predict the spending patterns. I am a 32 years old married female with ...
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Scenario: Upon successful completion of the MBA program, imagine you work in the analytics department for a consulting com ...
Inferential Statistics MBA Program Paper
Scenario: Upon successful completion of the MBA program, imagine you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:
Manufacturing
Hospital
Consumer Food
Financial
Select one of the databases based on the information in the Signature Assignment Options.
Provide a 1,600-word detailed, four part, statistical report with the following sections:
Part 1 - Preliminary Analysis
Part 2 - Examination of Descriptive Statistics
Part 3 - Examination of Inferential Statistics
Part 4 - Conclusion/Recommendations
Part 1 - Preliminary Analysis
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
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
Use the Part 3: Inferential Statistics document.
Create (formulate) hypotheses
Run formal hypothesis tests
Make 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
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?
Introduction to Quantitative Analysis: Confidence Intervals
Assignment: Introduction to Quantitative Analysis: Confidence IntervalsIn your Week 2 Assignment, you displayed data based ...
Introduction to Quantitative Analysis: 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.
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