**Assignment Task**

**Getting to know the data and the variables of the data set.**

- Rename the sheet: “Survey_data”
- Determine the number of variables in the dataset.
- Determine the number of observations contained in the dataset.
- What are the quantitative and qualitative variables?
- Identify the variables that are measured on a ratio scale, interval scale, ordinal scale, and nominal scale.
- What are the categories of the variable “Sex Household Head Marita Status Hea Household
- How many categories does the variable Educ level Household Head have? Primary income source?
- For each variable, insert a note to describe the variable.
- Sort the data household size (ascending order)
- Sort the data by education level.

**Exploring the distribution of each variable**

- Generate a frequency table for each categorical variable.
- From the frequency table generated for each categorical variable, determine the mode.
- Generate cross tables for each pair of categorical variables.
- After adding a filter to the crosstabs generated.

**Computing summary statistics**

- Calculate the central tendency measures for each variable: mean, median, and mode.
- Calculate the spread for each variable: variance, standard deviation, and range.
- For each quantitative variable, provide the summary statistics (using data analysis tab)
- Calculate the covariance and correlation between each pair of quantitative variables.
- Generate an ordinal variable for age and income: “age_range”, income_range.
- Generate a crosstab for age_range and income range. Can you calculate the correlation between these two variables? Why?