AFT2103 : Business Statistics Data Set for Statistical Analysis - Statistics Assignment Help

Assignment Task:

TASK:

For this assignment, you are required to find your own related data set for statistical analysis. A sample of usable data set has been appended with this assignment, which outlines the number of graduates (in unit thousands) by gender, educational level and age group in Malaysia dated 2016 to 2019, retrieved from the Department of Statistics, Malaysia. The data set you use must fulfil the following criteria: - The field sizes of the data set must be sufficiently large (? 15) and at least one of the fields has to contain at least three categories. In the sample data given we have the field ‘gender’ with the corresponding sample sizes of 32 males and 32 females. For the field ‘education’ we have the sizes of 32 degree graduates and 32 diploma graduates respectively. For the field ‘age group’ we have the sizes of 16 with ages ? 24, 16 with ages 25-34, 16 with ages 35-44, and 16 with ages ? 45. - The variable(s) of interest must be numerical. In the sample data given, the variable of interest is ‘the number of graduates’, which can be viewed from the perspectives of different fields (the gender, the educational level, and the age group). 

GROUP ASSIGNMENT Using the data set you have found, prepare your report which contains the following sections:

1. Data Description Describe the data set verbally. This includes describing the variable(s) of interest and the different fields the data set contains. You may put a footnote explaining the source of the data set.

2. Graphical Representation Represent the data set graphically. This includes illustrations like the histogram and the pie chart. Include a minimum of two illustrations, labelling and explaining each of them.

3. Numerical Descriptive Measures Describe the data set using various numerical descriptive measures. This can include the measures of central tendency, the measures of position, and the measures of variation. Show the formulas used. You may select a subsample if your data size is too large. For instance, based on the sample data set, we can do: ????? = 2.5 + 3.7????1 + 5.8????2 + ? Here, ????? can be the number of graduates being employed, ????1can be the number of graduates with diploma qualification, and ????2 can be the number of graduates with bachelor’s degree qualification. All these variables will be in unit thousands. When submitting your assignment, please name your file as: Group X.pdf You have to include the link to your video presentation in the front page of your submitted PDF. The due date of submission is on the 10th of June 2021 (Thursday), 5PM.

4. Statistical Analysis Using Software Using suitable software (such as SPSS), perform the following tasks:

4.1 Numerical Descriptive Measures Redo task (3) and compare your results accordingly.

4.2 Hypothesis Testing Perform hypothesis testing, showing in detail the five main steps. For example, for a variable of interest, you can compare the differences in means between various categories under a field, using the t-test and the ANOVA.

4.3 Correlation Analysis Perform correlation analysis using the variable(s) of interest, for instance based on the various categories under a field.

4.4 Confidence Interval Find the related confidence intervals for the variable(s) of interest, using several significance levels. 5. Theoretical Modelling Construct a theoretical regression model which incorporates the variable of interest following the general form of multiple linear regressions: ????? = ????0 + ????1????1 + ????2????2 + ? Explain your theoretical model, including the parameters ????0, ????1, ????2, … and the variables ????1, ????2, …

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