*It is a report with many sections , all of the answers to all of the sections need to go into a single word document.

*students should do section 3 first, If they understand it is basic market research they should have a rough idea of what is going on, sample output is given on pages 4,5 and 6  the end of this document

Overview :Each student will be  given a sample from a large population and each student will analyse their own sample.
the data and a short description of the data is given in a separate excel file , This is on moodle or you can click the link https://app.box.com/s/yvtr51gb8exbrbej5jtccteeicoed4me

Section 0:  Cover sheet
You do need a cover sheet with the following
Student number, (this is very important it lets the marker check you have used numbers based on your student
Name
Assignment:  Computing Assignment

Section 1: Introduction
Give an introduction to the assignment by giving a similar examples of a sample and a population and explain how it is useful in business, you should discuss this with your tutor. There are examples in the chapter 1 notes on moodle  or you can look athttps://www.youtube.com/watch?v=QQCpZ_J8EmY

Section 2: Description of the data set

Describe the dataset and describe each of the variables,
For each variable answer the question is it categorical or numerical?
The dataset is based on survey questions   so propose 2 other survey questions

Section 3: Summary of the data set

1. For the variable how much they would pay? below give graphical and numerical summaries that describes the variable
(in other words give the appropriate univariate statistics and graphical displays)

1. Use the filter to exclude the people that do not like the product and find appropriate numerical summaries for the follow variable
2. *Variable which version they prefer
3. *Variable How much they would pay?

1. For each pair of variables below give appropriate graphical and numerical summaries that describes the variable

(in other words give the appropriate bivariate statistics and graphical displays)

i)The variables: Gender and do they like the product ?

ii)The variables How much they would pay?  and gender

Section 4: Confidence intervals

Note: you will have to use the information in section 3b to answer these questions.

Excluding people that do not like the product

i)Find a 90% confidence interval for the proportion of people that prefer version 1

ii)Find a 90% confidence interval for the average amount they would pay

Section 5: Hypothesis tests

Note: use the information from question 3c to answer these questions

Perform the appropriate Hypothesis test,

1. *The variables: Gender and do they like the product
2. *The variables How much they would pay? and gender

Section 6 : the problems of getting survey data in the real world
The data set in the assignment is not real world data because every student needs their own sample to prevent copying,Discuss the problems of getting survey data in the real world , Also give an example of an actual product and give appropriate survey questions.

Section 7: conclusion

Discuss what you learnt after thinking about the previous sections. Make sure you give a discussion of the results from section 4 and 5

Sample output for assignment 1 section 3

You have a different sample so your numbers will be different

Section 3: Summary of the data set

1. For each variable below give a graphical and numerical summaries that describes the variable*Variable: How much they would pay?

 Minimum: O Maximum: 4.1 Count: 100 Mean: 2.6O2 Median: 3.1 Mode: 3 Standard Deviation: 1.1O8 Variance: 1.271 Mid Range: 1.9 Quartiles: Quartiles: Q1 à 3 Q2 à 3.1 Q3 à 3.2

1. Use the filter to only include the people that like the product and find appropriate numerical summaries for the follow variable
• *Variable which version they prefer
1. *Variable How much they would pay?

Bi)

 Row Labels Count of Which version is the best? Neither 5 version 1 2O version 2 25 Grand Total 5O

So proportion of neither =5/5O=O.1 ,

proportion of version 1 = 2O/5O=O.4,
proportion that like version3 = 25/5O=O.5

3bii)

 Minimum: 2.9 Maximum: 4.1 Count 50 Mean: 3.1O42 Median: 3.1 Mode: 3 Standard Deviation: O.157 Quartiles: Quartiles: Q1 –> 3 Q2 –> 3.1 Q3 –> 3.2

3c IFor each pair of variables below give appropriate graphical and numerical summaries that describes the variable

(in other words give the appropriate bivariate statistics and graphical displays)

i)The variables: Gender and do they like the product ?

ii)The variables How much they would pay?  and gender
3) cii

 Row Labels like hate Grand Total male 85% 15% 100% female 75% 25% 100%

3cii)

For the MALES the summary of the amount they would pay is

 Minimum: O Maximum: 4.1 Range: 4.1 Count: 6O Mean: 2.797 Median: 3.1 Mode: 3.2 Standard Deviation: O.9772 Quartiles: Quartiles: Q1 –> 3 Q2 –> 3.1 Q3 –> 3.2

For the FEMALES  the summary of the amount they would pay

 Minimum value: O Maximum: 3.5 Range: 3.5 Count: 4O Mean: 2.411 Median: 3.1 Mode: 3.3 Standard Deviation: 1.3O34 Quartiles: Quartiles: Q1 –> O.3 Q2 –> 3.1 Q3 –> 3.2

Course description

Assessment 3 Assessment Type: Computer assignment – analysis and 1500 + 10% word report – individual assessment

Purpose: To allow students to demonstrate an understanding of statistical analysis and the ability summarise and manipulate sample data, make basic statistical inferences and interpret the results in a business context. This assessment contributes to Learning Outcome a, b, c and d.
Task Details: Students will be presented with a set of numerical data, and a business scenario. From this you will need to present, summarise and manipulate sample data, make basic statistical inferences and interpret the results. Report The analysis and conclusions you draw from the analysis needs to be presented in a short report including all relevant analysis either as part of the report or as attachments referred to in appropriate sections of the report.

Presentation: The report needs to be short report format – 1500 + 10% word report format – Word .doc or .docx Title page, executive summary, table of contents, appropriate headings and sub- headings, recommendations, in-text referencing and reference list (Harvard – Anglia style), attachments.