1.How many elements are in the provided data set? 2.How many are the variables? 3.How many variables are qualitative – categorical?
1.How many elements are in the provided data set?
2.How many are the variables?
3.How many variables are qualitative – categorical?
4.How many variables are quantitative – discrete?
5.How many variables are quantitative – continuous?
What is the data set about?
1.Sorting: Sort the data set according to ID sequence, from smallest to biggest. Following the sorted unique ID number from smallest to biggest, what is the complete data for 100th observation?
2.Filtering: By filtering the ”race” variable, identify the number of a) White students, b) Hispanic, c)African-American and d) Asians; What is the ratio/percentage of Asians to the total population given the data set?
- Conditional Formatting: Using conditional formatting, use Data Bars on each variable grade across all elements assigning the following colors: Reading = Blue
Writing = Green
Math = Red
Science = Yellow
Social Studies = Purple
Highlight all Math_high results, and add a rule to highlight cells in “Green Fill with Dark Green Text” for all data Greater than “60”. By Filtering the cells highlighted with “Green Fill” for the variable “Math_high”, count how many students got a math score greater than 60?
- Use Conditional Formatting to highlight all “low” Social Economic Status (SES) into Light Red Fill with Dark Red Text.
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171 male
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165 male
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