Exam 1 Part 4
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
|
|
||||
|---|---|---|---|---|---|
| show | AT THE SAME PLACE (VALUE ON A HORIZONTAL AXIS).
🗑
|
||||
| show | the arithmetic average of a group of scores
🗑
|
||||
| show | the middle score of all the scores in a sample when the scores are arranged in ascending order
🗑
|
||||
| show | the most common score of all scores in a sample
🗑
|
||||
| guidelines for creating “the Perfect Graph" | show 🗑
|
||||
| random selection | show 🗑
|
||||
| show | refers to a method we can use one we have a sample, whether or not the sample is randomly selected. used frequently and goes a long way when unable to randomly select.
🗑
|
||||
| show | ability for findings from one sample to apply to other samples or contexts. This is external validity because of the fact that you are able to replicate your research and have the same results
🗑
|
||||
| inferential statistics | show 🗑
|
||||
| standardization | show 🗑
|
||||
| show | We measure height one way and weight in another; however, with z scores, we can put different variables into the same standardized scale. We can standardize different variables by using their means and standard deviations. This way, we can compare them
🗑
|
||||
| standardization (continued) | show 🗑
|
||||
| normal curve is said to be everywhere because | show 🗑
|
||||
| show | statistical analyses based on a set of assumptions about the population. Nonparametric
🗑
|
||||
| non parametric tests | show 🗑
|
||||
| statistical power | show 🗑
|
||||
| show | The size of a difference. A study can have a statistically significant finding; however, it may have a small effect size, which means that while it’s statistically significant, there’s not a large difference
🗑
|
||||
| show | when you have the scores for one sample and want to compare this sample to some known population mean
🗑
|
||||
| show | used when you don’t know a population’s mean or variables and you typically have two sets of sample scores, for instance: pre-test/post-test, repeated-measures design, paired samples (husband/wife, parent/child)
🗑
|
||||
| show | you do not know the mean or variance of the population and you have two sets of samples that are completely independent of each other
🗑
|
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:
cjd021
Popular Psychology sets