Basic statistcal info needed for OT
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
|
|
||||
|---|---|---|---|---|---|
| Nominal (aka categorical) | show 🗑
|
||||
| show | Level/scale of measurement where data is put into order, from high to low -- does not indicate how space is defined between data elements
🗑
|
||||
| Interval | show 🗑
|
||||
| show | Level/scale of measurement that indicates how space is defined between data elements -- has a true zero (e.g. temperature)
🗑
|
||||
| Descriptive statistics | show 🗑
|
||||
| Inferential statistics | show 🗑
|
||||
| show | Samples
🗑
|
||||
| show | Populations
🗑
|
||||
| Census | show 🗑
|
||||
| show | Data is clustered close to the Y axis
🗑
|
||||
| show | Data is clustered away from the Y axis
🗑
|
||||
| Parametric | show 🗑
|
||||
| show | no bell curve - non-normal data - samples less than 50
🗑
|
||||
| Variability | show 🗑
|
||||
| Standard deviation | show 🗑
|
||||
| show | 68% -- or about 2/3
🗑
|
||||
| What is the percentage of scores that fall in 2 SD? | show 🗑
|
||||
| show | 99.7%
🗑
|
||||
| show | Rejecting null when it is true
🗑
|
||||
| show | Failing to reject the null when it is false
🗑
|
||||
| Alpha | show 🗑
|
||||
| show | Null hypothesis symbol
🗑
|
||||
| Hi | show 🗑
|
||||
| t-test statistic symbol | show 🗑
|
||||
| show | F
🗑
|
||||
| show | r
🗑
|
||||
| Linear regression equation | show 🗑
|
||||
| Chi Square statistic symbol | show 🗑
|
||||
| show | U
🗑
|
||||
| show | T (italicized)
🗑
|
||||
| show | H (italicized)
🗑
|
||||
| show | Comparing 2 group means -- test of dependent (scores are related) or independent (scores have no relationship between groups -- null hypothesis: NO difference between the group means - non parametric equivalent is Wilcoxon Signed Ranks
🗑
|
||||
| When is it appropriate to use ANOVA? | show 🗑
|
||||
| show | Subjects are classified ONE way -- effect of ONE independent variable on ONE dependent variable
🗑
|
||||
| show | Subjects are classified TWO ways -- effect of TWO independent variables on ONE dependent variable
🗑
|
||||
| When is it appropriate to use Pearson r? | show 🗑
|
||||
| When is it appropriate to use linear regression? | show 🗑
|
||||
| Linear regression -- Y is what? | show 🗑
|
||||
| show | Intercept - point where straight line meets y-axis
🗑
|
||||
| show | Angle of the line
🗑
|
||||
| Linear regression -- X is what? | show 🗑
|
||||
| Linear regression - what is 'Line of Best Fit'? | show 🗑
|
||||
| When is it appropriate to use Chi Square? | show 🗑
|
||||
| One-way Chi Square? | show 🗑
|
||||
| show | Allow analysis of TWO categorical varaibles - 2x2, 2x3 - null hypothesis: There is no TRUE RELATIONSHIP between category 1 and category 2
🗑
|
Review the information in the table. When you are ready to quiz yourself you can hide individual columns or the entire table. Then you can click on the empty cells to reveal the answer. Try to recall what will be displayed before clicking the empty cell.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
To hide a column, click on the column name.
To hide the entire table, click on the "Hide All" button.
You may also shuffle the rows of the table by clicking on the "Shuffle" button.
Or sort by any of the columns using the down arrow next to any column heading.
If you know all the data on any row, you can temporarily remove it by tapping the trash can to the right of the row.
Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.
Normal Size Small Size show me how
Normal Size Small Size show me how
Created by:
msmaus
Popular Occupational Therapy sets