Discuss the limitations of quantitative research

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Reference no: EM131355659 , Length: word count:1500

1. Overview

A gym has conducted a survey of its customers. After reading the literature, perform a suitable analysis and propose a change to the business. Then pretend you do some market research to check if customers approve of the change. You will have to find a 95% confidence interval for the proportion of customers that support your proposed change and test the claim the proportion of customers that support the change is above 50%.

2. Dataset

You must use the datasets given below:

Customer survey data

Proposed change data

3. Report Structure

The suggested report structure is as follows

Section 1. Introduction

Section 2. Reviewing academic source(s) or website(s) relevant to the survey of gym customers

Find at least one journal article or website related to the survey of Gym customers and give a brief description.

Section 3. A simple Bivariate analysis of the customer survey data

Include at least one bivariate analysis that shows the relationship between two variables you discussed in Section 2.

(Use the Customer survey data And use a filter to select a dataset based on your student number A guide for this is available from https://app.box.com/s/zlikyqj323d8ml7dlar0rr85lpu47su4)

When you do a Bivariate analysis there are 3 possible cases:

Case 1: Two categorical variables

Give a two-way table, also give a chart that compares the proportions of the different groups.

Case 2: One categorical and one numerical variable 

Give a table that compares the means and standard deviations of each group. Also, give a chart that shows the distribution of each variable.

Case 3: Two numerical variables

Give a scatterplot that shows the relationship between both variables. Also, find the mean and standard deviation for each of the variables.

In all cases you need to give suitable comments.

Make sure you output includes the sample sizes.

Section 4. Managerial advice

Make a proposed changed based on your review of academic sources and bivariate analysis

Section 5. Analyze the survey data related to the proposed change in Section 4

Find a 95% confidence interval for the proportion of customers that support the proposed change and test the claim the proportion of customers that support the change is above 50%

(Use the Proposed change data And use a filter to select a dataset based on your student number a guide for doing this is available from https://app.box.com/s/rg62h0mbedm2fb97i9m5h2kn3unmrx6x)

Section 6. Conclusion

Give a conclusion to Sections 2

Section 7. Discuss the abuses of statistics

Discuss possible issues with the questionnaires, the data set and the summary statistics you used.

Section 8. Discuss the limitations of quantitative research

Sections 3 and 5 of your assignment is quantitative research because they are an analysis of close ended questions. State and discuss the limitations of quantitative research, Under what circumstances do you need to use Qualitative research.

Section 9. Reference list

Report Format: Choose one of the following formats:

Times New Roman, 12pt

Calibri, 11pt

Arial, 10pt

1500 words + or - 10%

Referencing - Use Harvard referencing.

Attachment:- Assignment Data.rar

Reference no: EM131355659

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Reviews

len1355659

1/16/2017 5:52:37 AM

In the example both people have a BMI of 33.9 since they both have a height of 6 feet (183cm) and a weight of 250 pounds (113kg) However only one of them has a health problem. Section 8 refer to the week 7 and 8 lectures, sometimes you need to use Qualitative research methods because quantitative research methods, For example in section 5 you can establish majority of people support the change but you do not know why, to find out why you would use quantitative methods.

len1355659

1/16/2017 5:52:30 AM

Section 2 you have a quick look at the literature review assignment that has many journal articles for doing the assignment. Section 5 There are similar questions in the week 5 and week 6 tutorial just cut and paste. Section 7 Discuss the abuses of statistics, you just have to discuss two relevant examples in total. You can google one or two of the following- 1. The data comes from questionnaires, there are many mistakes you can make with questionnaires, for example the questions might be confusing. 2. You can find the mean for numerical variables but it does not always represent a typical value, sometimes the median represents a typical value. 3. Samples are not always representative. 4. A sample is only an estimate of the population. 5. BMI measures considers height and weight and for most people a BMI above 30 means they are obese but it does not work for bodybuilders. 6. If you study the relationship between two variables you need to consider lurking (intervening variables) 7. Some types of measurement are problematic, for example BMI is supposed to measure obesity And technically a BMI of above 30 means a person is obese but it does not work for body builders.

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