BUS621 overview

Transcript

1. 1 !
2. Analytical Tools for Business - Statistics Overview 2 Variables ▪  A variable is a single characteristic of any object or event. E.g. In the Homes worksheet, the price, square feet in home, and age of home are all variables.
3. Analytical Tools for Business - Statistics Overview 3 Variables come in 2 main categories 1. Numerical Variables which can either be ◆  Discrete; or ◆  Continuous and 2. Categorical variables
4. Analytical Tools for Business - Statistics Overview 4 Variables come in 2 main categories 1. Numerical Variables which can either be ◆  Discrete; or ◆  Continuous and 2. Categorical Variables
5. Analytical Tools for Business - Statistics Overview 5 Numerical Variables Variables whose values come in meaningful (not arbitrary) numbers: ◆  Discrete - variables that assume values only from a list of specific numbers. ◆  E.g. in Homes file, the number of cars that can fit in garage (either 1 or 2).
6. Analytical Tools for Business - Statistics Overview 6 Numerical Variables ◆  Continuous - variables that assume values from within a continuous range of possible values ◆  E.g. in Homes file, the age of homes
7. Analytical Tools for Business - Statistics Overview 7 Variables come in 2 main categories 1. Numerical Variables which can either be ◆  Discrete; or ◆  Continuous 2. Categorical Variables
8. Analytical Tools for Business - Statistics Overview 8 Categorical Variables Variables whose values fall into categories ◆  Ordinal - variables whose categories can be assigned some natural order ◆  E.g. in Homes file, the view from the house (0=no view, 1=some view, 2=good view)
9. Analytical Tools for Business - Statistics Overview 9 Categorical Variables ◆  Nominal - variables whose categories cannot be put in any natural order ◆  E.g. in Homes file, the air conditioning variable (0=no, 1=yes)
10. Analytical Tools for Business - Statistics Overview 10 How this course is organized ▪  We will look at how data is described and charted ▪  and how this information helps us make better decisions
11. Analytical Tools for Business - Statistics Overview 11 Numerical Variable Categorical Variable DATA Describe and chart categorical data • Tables • Bar chart • Pie Chart How data is analyzed
12. Analytical Tools for Business - Statistics Overview 12 Describe and chart numerical data • frequency tables • distribution How data is analyzed Numerical Variable Categorical Variable DATA
13. Analytical Tools for Business - Statistics Overview 13 Describe and chart relationships between categorical variables • Tables • Charts How data is analyzed Numerical Variable Categorical Variable DATA
14. Analytical Tools for Business - Statistics Overview 14 Describe and chart numerical data for different categories How data is analyzed Numerical Variable Categorical Variable DATA
15. Analytical Tools for Business - Statistics Overview 15 Describe and chart relationships between numerical variables • regression analysis How data is analyzed Numerical Variable Categorical Variable DATA
16. Analytical Tools for Business - Statistics Overview 16 Estimate or test a population proportion How sample data is used Numerical Variable Categorical Variable DATA
17. Analytical Tools for Business - Statistics Overview 17 Estimate or test a population mean How sample data is used Numerical Variable Categorical Variable DATA
18. Analytical Tools for Business - Statistics Overview 18 Test for population relationship between 2 categorical values How sample data is used Numerical Variable Categorical Variable DATA
19. Analytical Tools for Business - Statistics Overview 19 Test whether several groups have same or different population means How sample data is used Numerical Variable Categorical Variable DATA
20. Analytical Tools for Business - Statistics Overview 20 Test for a population relationship between 2 or more numerical variables How sample data is used Numerical Variable Categorical Variable DATA
21. Analytical Tools for Business - Statistics Overview 21 Estimate a value for Y given X or a change in Y How sample data is used Numerical Variable Categorical Variable DATA