STA3215CBE Section 01CBE Inferential Statistics and Analytics (11 Weeks) - CBE Online Course - 2022 Summer Quarter
Deliverable 1 assignment

Deliverable 1 - Descriptive Statistics

Assignment Content

Competency

Describe the data using the measures of central tendency and measures of variability.

Student Success Criteria

View the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.

Instructions

Scenario (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

A listing of the jobs by title
The salary (in dollars) for each job

To complete Deliverable 1 assignment - Descriptive Statistics.xlsx file for specific questions that need to be answered in this deliverable.

The client needs the preliminary findings by the end of the day. Your boss asks you to first compute some basic statistics and then analyze the results in the four questions given in the Excel spreadsheet.

Background information on the Data

The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

What to Submit

Your boss wants you to submit the spreadsheet with the completed calculations, answers, and analysis.
The following questions are include in the attached excel file.

Notepad
. Provide a brief overview of the scenario you are given and describe the data set.
1b. Describe how you will be analyzing the data set.
1c. List all variables in the data set. Define each variable as follows and explain your reasoning.
i. Provide the two variable names in the data set.

ii. Define both variable as either Quantitative or Qualitative. Explain your answers.

iii. For the quantiative variable listed, define them as either Discrete or Continuous. Explain your answer.
iv. Provide the level of measurement for both variables. Explain your answers.

2. Name and describe each Measure of Center below. Include the advantages and disadvantages of each Measure of Center.
   4a. Calculate the Measures of Center and Measures of Variation on the "Data" tab in this document.
   Under each measurement, provide the following: the calculation (including the Excel formula), the value, the units of measurement, and an interpretation of the calculation in context of the scenario.

i. Mean

ii. Median

iii. Mode

iv. Midrange

v. Range

vi. Variance

vii. Standard Deviation
If you find any difficulty completing analyses for this project, you can contact My Course Tutor for help. We provide statistics and data analysis services under our statistics assignment help category. You might also wish to engage our experts on free consultations on how to go about analyzing your project data using excel.

Deliverable 1 - Descriptive Statistics.xlsx

A bass guitarist worked on 9 music projects last year. He wrote and produced 3
projects. He wrote a total of 5 projects. He produced a total of 7 projects. Use a Venn diagram to determine​ (a) how many projects he wrote but did not​ produce, and​ (b) how many projects he produced but did not write.

Question: Complete the Venn diagram. Let W be the set of projects the bass guitarist wrote and P be the set of projects he produced.
View Image for the Venn Diagram.

Does the knowledge of being in a high-risk flood area affect housing prices?
Use the summer 2021 floods and flood risk disclosure in London as an experiment (more info here) which lead to an increase in interest in floods as seen on Google Trends. Some areas, such as those flooded, will have more impact than others. You can download data for the flood risk maps from here. You can implement a DD using areas exposed vs non-exposed before and after the event. You can find a related paper on this matter here.

assignment prompt.docx

Confidence Intervals and Hypothesis Testing
Questions 10 through 12 are based on hypothesis testing and confidence intervals. In the different textbooks you will find many criteria about when to use normal distribution and t distribution for solving these problems. Some of the criteria defined are based on approximation that when sample size is large, t distribution can be approximated to normal. However, here when you are using technology to solve problem, stick to criteria that when population standard deviation is known, normal distribution is used. In all other cases or respective of sample sizes, t distribution is used.
Q10) Consider variable overall satisfaction with the dining facility variable.
a. At 90% confidence, estimate the overall satisfaction with the fining facility.
b. At a 10% significance level, can we conclude overall satisfaction is different from 3.5? Explain criteria used to reach conclusion.
Q 11) Let’s perform analysis on satisfaction based on frequency of visit variable. You may find table completed in Question 4 useful for this analysis. At 5% significance level, test the hypothesis that those who visit dining facility daily are less satisfied that those who to not visit facility daily, In the answers provide test statistics, P value and conclusion. Use subscript 1 for daily visit and 2 for those who don’t visit dining facility daily.
This question is an example of inferential statistics that can be addressed by our expert writers.

statistics help online question.docx

All students and professionals ought to understand statistical concepts because it help them work on their research projects and conduct different research activities within environments they live. Statistics, research, and probability skills might seem difficult to master at fast, but they are interesting when one has mastered the art. My course tutor provides students with assistance who might find it challenging to understand statistical concepts.
A simple presentation of statistics is explained here:
Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. Statistics has a wide range of uses and applications in many different fields, such as business, economics, psychology, medicine, and the natural and social sciences. Some examples of the uses of statistics are:

1. Data Analysis: Statistics enables researchers and analysts to collect and analyze data, and to make inferences and predictions based on the data.
2. Quality Control: Statistics is used to monitor and control the quality of products and services, by using statistical techniques such as statistical process control and design of experiments.
3. Surveys and Sampling: Statistics is used to design and analyze surveys and samples, to estimate the characteristics of a population based on a sample.
4. Forecasting and Predictions: Statistics is used to make predictions and forecasts in areas such as weather forecasting, stock market analysis, and economic forecasting.
5. Decision Making: Statistics is used to support decision making in a wide range of applications, such as medical research, product design, and public policy.
6. Research: Statistics is used in many scientific fields to design experiments, collect data, and analyze and interpret the results.
   Statistics is important because it allows us to make inferences about a population based on a sample, and to make predictions about future events based on past data. It also allows us to test hypotheses and make decisions based on data, and to evaluate the reliability and validity of the conclusions we draw from data. Without statistics, it would be difficult to make sense of the vast amount of data that is generated in today's world and make informed decisions.