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Statistics
This assessment addresses the following learning outcomes: 1. Understand key concepts in statistics and the way in which both descriptive and inferential statistics are used to measure, describe and predict health and illness and the effects of interventions. 2. Apply key terms and concepts of statistics, including; sampling, hypothesis testing, validity and reliability, statistical significance and effect size. 3. Interpret the result...
Task1. Microsoft surveys 300 randomly selected computer users and asks them a series of questions. Qualify each of the following types of analysis as either Inferential Statistics or Descriptive Statistics. A. They take their data and construct a pie chart showing what portion of their sample use which operating system. B.Using their sample data, they estimate what portion of the population is using the latest version of the Windows op...
ObjectivesTo understand and solidify introductory statistics course concepts and techniques 1.As the Manager of Customer service at a Bank, you were assigned the job of revamping the Customer Service function at the branches. To get the project started, a research study at four branches was conducted to assess the effectiveness of a recent change in the customer account management process. Details of the study are as follows: a.A group of ...
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Wage differentials using wage2.dta data1. In this question, we are interested in how education, experience, and race explain differences in wages across people. Use wage2.dta to answer this question. a) Use the wage2.dta to estimate the following model where the return to education depends upon the amount of work experience (and visa versa): log(wagei) = β0 + β1edui + β2experi + β3(educi × experi) + ui Show that the ...
Question 1: Variable Classification and Level of MeasurementQuestion 1 Classify the following variables as qualitative, quantitative discrete, or quantitative continuous. In addition, determine the level of measurement (Nominal, Ordinal, Interval, Ratio) for each variable. ( a ) Number of siblings( b ) Highest education degree obtained( c ) Student enrolment in Yorkville University over the recent three years( d ) Length of time of residence i...
Data DescriptionUse your data set and Stata (or other econometrics packages) to answer the following questions.1. (a) For each of the variables hrwage, union, and hours, what is the average, the standard deviation, the minimum value, and the maximum value in your data set?(b) What is the number of observations in your data set?2. (a) Generate a new variable lwage as the (natural) logarithm of hrwage. Label this variable.(b) What percentage of in...
For this question we will be using the BreastCancer data set from the mlbench library. To load the data into R, simply load the library, and then type: data("BreastCancer", package = "mlbench"). Once the data is loaded, we recommend removing the Id attribute, since this has no value for classification: BreastCancer$Id = NULL. Information about the data set can be found by typing ?BreastCancer into the console. (a) Set the seed of the rand...
Thematic Analysis and Qualitative StatisticsQualitative statistics: thematic analysis 1. Provide a link to the article you have selected. List the comments you have chosen, the key themes you identify and the number of times they occur from the comments 2. Describe the themes you identified and the key features that make the theme recognisable (words, metaphors, emotional language, etc.) Probability and statistics fundamentals 3. Given the...
Confounding Variables in a Study of College GraduatesQuestion 1 A study of college graduates involves three variables: income level, job satisfaction, and one-way commute times to work. List some ways the variables might be confounded. (Select all that apply.) People might be very satisfied with their career as long as the income is high. One-way commute times may be long because affordable housing is distant from the job.People with who are ...
Calculating Cumulative Incidence for Different Levels of Exercise per WeekThe table depicts the results of a cohort study assessing the association between hours of exercise per week with 5-year incidence of myocardial infarction (MI) in a cohort study of 3,000 adults. Hours of exercise per week MI Cases Non-cases Total at Risk > 5 hours 300 790 1,090 ≥ 3 hours – 5 hours 210 700 910 < 3 hours 450 550 1,000 Total 960 2,040...
Questions The WA_HR_Training.csv file records information about the costs of HR training courses in a company. The information include in which year a course cost occurs (i.e., the Year column), for which position a course cost occurs (i.e., the Position column), for which department a course cost was spent (i.e., the Department column), etc. Use IBM Cognos Analytics to create a dashboard, and answer the HR manager’s following questions:...
VariablesData For this problem set you will need to load the candidate.RData workspace. You will be using the data frame called c and later t. Imagine that you are a researcher with that theory that predicts a relationship between the attractiveness of political candidates in the United States and their vote percentage margin of victory. You have gathered information on a random sample of 100 candidates from survey responses and other data so...
Data Envelopment Analysis TechniqueYou need to write a summary report on the efficiency of the operations of your case study organization(s) for one of its stakeholders. You should not assume that the stakeholder understands the Data Envelopment Analysis technique and so will need to explain it to the reader (but should only include detailed computer output in the appendix). Overall the report should be 2000 words ±200 words. The case...
Task 1Task 1 Analyse the key sources and flows of data that are collected, processed, stored and taken into account in the organisation’s decision-making process. Your analysis must include: • A statement of all the current financial and non-financial data the organisation uses in its decision making; • An analysis of data integrity and identified gaps; • A map between business functions and data sources. Task 2 ...
Problem 1: Determining the Mean Amount of Water in 1-Gallon Bottles1. A bottled water distributor wants to determine whether the mean amount of water contained in 1-gallon bottles purchased from a nationally known water bottling company is actually 1 gallon. You know from the water bottling company specifications that the standard deviation of the amount of water per bottle is 0.02 gallon. You select a random sample of 50 bottles, and the...
Statistical Hypothesis Testing for Marketing ResearchDiscussion In the research process for Frito-Lay Company, many different numerical questions were raised regarding Frito-Lay products, advertising techniques, and purchase patterns among Hispanics. In each of these areas, statistics—in particular, hypothesis testing—plays a central role. Using the case information and the concepts of statistical hypothesis testing, discuss the fo...
Motivating the MemoTask: 2)Write 1-4 sentences to motivate the memo. This can be used to discuss why the issue is important and, if applicable, whom it may affect. 3)Identify your target population if it is not immediately clear from the introduction. 4)Write a hypothesis statement reflecting what it is you are researching for this memo. The statement does not need to be formally written, but your position should be clear and succinct.&...
College Male Students’ Heights1. Suppose College male students’ heights are normally distributed with a mean of µ = 69.5 inches and a standard deviation of σ =2.8 inches a. If one male student is randomly selected, find the probability that his height is less than 65.2 inches or greater than 71.2 inches. b. How tall is Mauricio if only 30.5% of students are taller than him (2 decimal places)? c. How tall is Mik...
Communter Flight: Normal DistributionQuestion 1 With a small plane, the cargo weight (passengers and luggage) is crucial to the efficiency of the flight. Suppose an airline runs a commuter flight that takes 40 passengers. They know that the weights for typical customers on this flight have an approximately normal distribution with a mean of 70 kg and a standard deviation of 10 kg. The weights of typical luggage per person have an approximately ...
Part OneTask 1: Data pre-processing and data exploration a. Use Pandas to load data b. Merge all the data with “quality” labels between 6-10 into Class 1 and similarly form c. Report the number of features and number of rows in each class d. Choose an attribute and generate a boxplot for the two pre-defined classes. e. Show one scatter plot, that is, one feature against another feature. It is your choice to show ...
Statistical Model for Logistic RegressionA local health clinic sent fliers to its clients to encourage everyone, but especially older persons at high risk of complications, to get a flu shot in time for protection against an expected flu epidemic. In a pilot follow-up study, 159 clients were randomly selected and asked whether they actually received a flu shot. A client who received a flu shot was coded Y = 1, and a client who did not rec...
Describing the Data and Analyzing Inequality and Policy1. Describe the data that you will be analyzing. What is the unit of analysis? What is your sample size? 2. Using 1-2 tables, graphs, and your knowledge of descriptive statistics, provide a discussion of inequality and policy across countries based on the following variables: welfare regime (regime), government social spending (spend.gdp), income inequality (ineq20), and post-tax poverty ra...
Purposes of this practicala)to give you practical experience of working with a large data set b)to give you practical experience of a widely used method of statistical analysis: correlation c)to familiarise you with key concepts in individual differences research: ‘g’ or general intelligence, heritability and concordance d)to introduce you to a specific measure of general intelligence: Raven’s Progressive Matrices e)to ...
BackgroundPresent a report covering the following areas. The suggested word count serves only as a guide. They are not treated as absolute necessity. Include a TITLE (include topic & site of study) for your Report. a. Background Include a brief summary of the topic and the rationale for this research. The rationale refers to the reasons why your research needs to be conducted. You can consider explaining the problems that spark your intere...
PurposeThe purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: Inferential Statistics Data Plan and Analysis Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable...
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