Write a 2-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, provide a brief explanation of what the implications for social change might be.

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In this week’s Discussion, you determined the benefits of visually displaying your data. You also learned that different types of data require different visual displays to adequately “tell the story” of the phenomena. Although the Discussion was difficult, what is even more difficult and challenging will be deciding on how best to display the data for presentation purposes. As you move further along in your dissertation or doctoral study, you will find that displaying data will be critical component in presenting a robust and clear capstone project.

For this Introduction to Quantitative Analysis Assignment, you will explore how to visually display data for optimal use.

To prepare for this Assignment:

  • Review this week’s Learning Resources and consider visual displays of data.
  • For additional support, review the Skill Builder: Unit of Analysis and the Skill Builder: Levels of Measurement, 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 choose) found in this week’s Learning Resources. ( Go to discussion tab locate on the page for this assignment) Then go down to Day 5 under Post by Day 3 and Respond by Day 5 click on it to open. Once open look for THINGS YOU NEED TO DO THIS WEEK and the SPSS data sets are located there for Afrobarometer dataset or the High School Longitudinal Study click on to open
  • From the dataset you chose, choose one categorical and one continuous variable and perform the appropriate visual display for each variable.
  • Once you visually display for each variable, to understand how to copy and paste your output into your Word document.

For this Assignment:

Write a 2-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, provide a brief explanation of what the implications for social change might be. Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.

Use appropriate APA format.

You are a campaign manager for one of two presidential candidates. You are to design a mathematical strategy and procedure for your candidate to get a majority or greater of the electoral votes.

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You are a campaign manager for one of two presidential candidates. You are to design a mathematical strategy and procedure for your candidate to get a majority or greater of the electoral votes. For this project we are assuming that all states give all electoral votes from their state to the majority winner. These are the conditions of the campaign:
Define every state and their political affiliation into three categories: Democratic states
Republican states
Swing states
You will have to do your own research, because there is a right answer to all these categories based on history.

Define the total number of electoral votes.

What are most electoral votes needed to win?

Define the exact number of electoral votes in each state.

If you choose to be the democratic campaign manager, then you must base your strategy on prior knowledge that you will lose New York to the Republicans.

If you choose to be the republic campaign manager, then you must base your strategy on prior knowledge that you will lose Florida to the democrats.

Some things to think about:

Based on the mathematics what states will be extremely important for your candidate to win?

What cities and states will you visit the last 4 weeks of the election and why?

What is your mathematical strategy to limit the number of miles traveled by your candidate, but still cover the cities and states you need to win the majority?

Estimate the number of days it takes an automobile dealer to sell a Chevrolet Aveo. Sample of 50 cars had a mean time on the dealer’s lot of 54 days. Assume the population standard deviation to be 6.0 days.

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A researcher wishes to estimate the number of days it takes an automobile dealer to sell a Chevrolet Aveo. Sample of 50 cars had a mean time on the dealer’s lot of 54 days. Assume the population standard deviation to be 6.0 days.

Show all steps for each part below.

a) Find the best point estimate of the population mean.

b) Find the 95% confidence interval of the population mean.

Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance that the device will fail. One question is, “On average, how long will it be before such a device fails?”

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Problem: Consider one way of modeling a problem. Say you have a device and in any given year, there is a 1 in 6 chance that the device will fail. One question is, “On average, how long will it be before such a device fails?” This sort of problem is what will be modeled and analyzed here.

The problem above can be modeled as follows: Roll a normal fair six-sided die. Rolling a 1 will count as “fail”. Anything else will count as “not-fail”. The random variable we will use will be

= # of rolls required until a 1 is rolled = “time until failure”

This is a random variable, so in each experiment (for each device), this will produce a value. For example, if we roll                                   , then  = 5 (we count the final roll).

Part 1 [Excel] (Empirical Analysis): Simulate 20 repetitions of obtaining a value for , that is, roll until a 1 is rolled, record the result and repeat this 20 times. For example, if you roll   , then record 4 since 4 rolls were required. You can complete this using a die or simulating using Excel, Python, or some other option,

  • Record your rolls and counts.
  • Compute the mean and standard deviation of your values for .
  • Given the modeling problem we started with, interpret the mean and standard deviation you found in terms of how many years are expected before the device fails.

Excel might be used for this part as it makes the calculations, recording of data, etc. very simple. However, it is not required.

Part 2 [Excel] (Theoretical Analysis – Approximations): Compute approximations to expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief:

  • = the probability of rolling something other than a 1 )-times, then rolling a 1 on the th Make a table for the first 20 values:

Use this table to compute

  • The probability that you get the first 1 in at most 20 rolls.
  • An approximation of  using the first 20 values for , namely                .
  • An approximation to the variance of using the first 20 terms. For this, use  and then use this and the above to get a rough approximation of .
  • Use the preceding to approximate the standard deviation using the first 20 terms.

Again, using Excel for this will simplify what needs to be done.

  • Repeat the third item of Part 1: Given the modeling problem we started with, interpret  and   in terms of how many years are expected before the device fails.

Part 3 [Written] (Theoretical Analysis – Exact Computations – (Optional)): Compute the expected value, variance, and standard deviation of the random variable . See the additional notes for discussion on these computations, in brief:

  • (Expected Value)
  • (Variance)
  • (Standard Deviation)

Hint: For computing these without directly manipulating the infinite summations that appear in the definitions of  and , let  be the event that a 1 is rolled on the first throw and  be the complementary event, namely, that a 1 is not rolled on the first throw. It is clear that  since what is rolled after the first roll is just like starting over. It is also clear that . The Law of Total Expectation (see notes) gives:

This makes it quite simple to find .

A similar “trick” can be used to find , here you will use .   Again, the Law of Total Expectation gives:

and from this it is simple to compute .

Using the data provided on BREO, you are required to write two sections commonly found in published research article. The first is the ‘Statistical Analysis’ section of the ‘Methodology’ and the second is the ‘Results’ section.

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1. Critical understanding of the appropriate use of data analysis, descriptive statistics and inferential statistics within the field of sport, physical activity and exercise science.
2. The comprehensive completion of statistical analysis testing in a format suitable within the field of sport, physical activity and exercise science.

Using the data provided on BREO, you are required to write two sections commonly found in published research article. The first is the ‘Statistical Analysis’ section of the ‘Methodology’ and the second is the ‘Results’ section. The assignment must not exceed 1000 words in length, not counting references and word count within tables and figures (including table and figure legends). Include a word count on your final page. Use black, 12-point Times New Roman or Arial font with double-spacing. Ensure that you include a plagiarism statement with your submission.

In order to pass Assessment 1, you will need to:
• Present an appropriate statistical analysis of a set of data
• Provide an analysis of research design and the assumptions of this statistical test to a standard that would be deemed acceptable within the field of sport, physical activity and exercise science.
• Provide tables and figures to an appropriate manner.

Attend a variety of lectures and workshop sessions to allow an exploration of the relevant and wide range of statistical analysis used in sport, exercise and health sciences. There will be opportunity to challenge certain methods in discussion and workshop sessions.
How does this assignment relate to what we are doing in scheduled sessions?

Students will learn through tutors and peers with face to face activity and online tasks. There will be a problem based approach to learning, to enable the highlighting of the prerequisite skills required to be a student researcher.

Caffeine intake affects reaction time of humans and improves response of the brain to external stimuli.Does the increase of caffeine increases the reaction time ?

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Caffeine intake affects reaction time of humans and improves response of the brain to external stimuli.

The question on this paper is does the increase of caffeine increases the reaction time ? the Null hypotheses is the type or the brand of the coffee used wont change the results of the reaction time only the mass of the coffee will change the reaction time. My variables are the time and the coffee mass . excel sheet: sheet1/ all the data collected with the graph and best line fit, and the other graph proves there is a proportional relationship between the coffee mass and the final reaction time the increase of the coffee amount decreases the final reaction time graph “coffee mass Vs final reaction time”

What is an “arithmetic mean” ? Does it have the same meaning as the word “average”? Explain

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a) What is an “arithmetic mean” ? Does it have the same meaning as the word “average”? Explain

b) The average of a data set is influenced by extreme values while the median is not. In other words, the median is not resistant to outliers but the average is. True or False. Discuss and offer examples

b) The range is the most obvious measure of variability or how spread out are the values in a data set but it is not the best measure compared to standard deviation. True or False. Discuss

c) Interpret the meaning of “standard deviation” if the standard deviation of a set of numbers is 2 and the arithmetic mean is 3. Hint: That is, apply the empirical rule

Analyse qualitative and quantitative data, make decisions and report on these decisions in a business environment (LO4). Task Forecasting time series data and decision making. 

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Course Weight 30% Learning outcomes

• Collect, organize, analyze, interpret, summarize and report data using statistical sampling methods (LO2). • Examine, calculate and report on quantitative and or qualitative changes, patterns and relationships in business data (LO3).

• Analyse qualitative and quantitative data, make decisions and report on these decisions in a business environment (LO4). Task Forecasting time series data and decision making.

(1) Select any three stocks from the NZX 50 Index and download the daily closing prices (time series data) for a 3-year period (2017-2019) using judgement sampling (LO2)

(2) Graph the price series of the sampled stocks (line graph) (LO3) (3) Forecast the price data using the following techniques: (a) 3-year Simple Moving Average (b) 3 year Weighted moving Average and (c) Simple Exponential Smoothing (LO2, LO3).

(4) Compare the daily price series with the forecasted series and show how such forecasting may help the stakeholders (shareholders, bondholders) to make business/financial decisions (LO4).

(5) Write 600 words report highlighting your findings and advice to the stakeholders (LO4). Model Excel Template See the attached Time Series Forecasting A3 Excel File. This is only a model template and the actual calculation by students depends on the sampled data. Finalize A separate Excel spreadsheet for analysis and a separate 600-word report are required. Introduction (10 marks) Highlights clear background of theme of report Makes clear reference to the objective of report Explains the process of data collection, data organization (LO2) Sampling and database construction (10 marks) Explain clearly the sampling process and justifications and identifying the data patterns and relationships (LO3) Excel Spread Sheets with the time series data Analysis (25 Marks) Methods of forecasting and the justifications for their selection Appropriate methods of computation are described and justified (LO3, LO4). Findings (25 marks) Findings are correctly analyzed and examined(LO2). Links to theory and practice are clearly explained and reported (LO3). All recommendations are logical and justified Understands and critically evaluates supporting evidence / reference materials (LO4). Conclusion (10 marks) Summarizes the overall findings and recommendations clearly and succinctly (LO2,LO3,LO4) No new material is presented Format and Presentation (10 marks) Structure and format [*Mechanics – Spelling, punctuation, grammar, referencing and formatting] (LO2,LO3,LO4) Referencing and research (10 marks) Referencing style (APA) Meeting the academic English language criterion expected of level 08 students.

Test the overall significance of the model by conducting an F test (P-value or significance of F). What does the significance of F (or lack there off) imply?

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1.What is the Sample Regression Equation ? (Answer this question based on YOUR Excel Summary Output).

  1. Which of the Independent variables are significant? Why?  Explain.  Use α = 0.05 in ALL questions. Use only the p-value to explain your answers (No need to go to t tables).
  2. Test the overall significance of the model by conducting an F test (P-value or significance of F). What does the significance of F (or lack there off) imply?
  3. Comment on the Goodness of the Fit (Hint, you look, not at r square like in simple regression, rather, you look at the adjusted r-square).
  4. Comment on the Normality assumption for the residuals for this model. In other word, has the normality assumption been satisfied?  Explain your answer (Hint: you need to run Excel’s Histogram feature for Column of the Residuals. I need to see your Histogram in your Excel file and in here).
  5. Has the assumption of Constant variance (Homoscedasticity) been met?

Explain.

  1. Has the assumption of the Independence of Variables been met? In other words, do we, or do we not have the problem of multicollinearity? Explain.
  2. Do you see any Indication of Autocorrelation? Using Excel Formula commands, calculate the value of the Durbin-Watson test statistics in Excel, using the formula from your Formula Sheet or look below:

Durbin-Watson Test Statistics (Also:  Use the chart for Durbin Watson test provided in the Formula Sheet, or below). For Durbin-Watson TABLE, you can use your textbook or the Internet.

Based on your application of the life cycle to the initiative, analyze how the life cycle will help you infer predictability, performance, quality, and security of your initiative and its results.

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Company is Amazon

For this milestone, submit Sections A–D of the proposal portion of the final project (Part II).
Specifically, the following critical elements must be addressed:
II. Proposal
A. Goals: What are the goals of this initiative? How do they align with the organizational mission? And how do you plan to measure success? Be sure to consider the progress and pathway for data analytics projects of the type you chose to propose.
B. Data Analytics Life Cycle: Apply the data analytics life cycle to your proposed initiative, and walk your audience (management) through the life cycle as it applies to the initiative.
C. Value of Life Cycle: Based on your application of the life cycle to the initiative, analyze how the life cycle will help you infer predictability, performance, quality, and security of your initiative and its results.
D. Data: Evaluate the existing or desired data for its applicability to your proposed data analytics initiative. In other words, what are the benefits and limitations of the current data for the use you have in mind, including potential collection and security implications?
Guidelines for Submission: Milestone Two should be submitted as a formal report or presentation, as chosen in Module One. Make sure to address all of the critical elements in the prompt.