Busy. Please wait.
or

show password
Forgot Password?

Don't have an account?  Sign up 
or

Username is available taken
show password

why


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.
We do not share your email address with others. It is only used to allow you to reset your password. For details read our Privacy Policy and Terms of Service.


Already a StudyStack user? Log In

Reset Password
Enter the associated with your account, and we'll email you a link to reset your password.
Don't know
Know
remaining cards
Save
0:01
To flip the current card, click it or press the Spacebar key.  To move the current card to one of the three colored boxes, click on the box.  You may also press the UP ARROW key to move the card to the "Know" box, the DOWN ARROW key to move the card to the "Don't know" box, or the RIGHT ARROW key to move the card to the Remaining box.  You may also click on the card displayed in any of the three boxes to bring that card back to the center.

Pass complete!

"Know" box contains:
Time elapsed:
Retries:
restart all cards
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

Quant Reasoning

Final Exam

QuestionAnswer
Parametric Tests concern the parameters of a population, assumptions about the parameters of the population, have numerical scores for each individual in the sample, requires data for interval or ratio scales.
Non-Parametric Tests few or any assumptions about the population parameters, subjects are usually classified into categories, do not produce numbers to figure the mean & variances, usually for frequencies, not as sensitive as non-parametric tests, examples of inferential Test
Pearson's r variables are measured on interval or ratio scales, relationship has to be linear, expressed in correlation coefficients (r=0.89 or r=-0.90)
Spearman's p one variable is ordinal, other variable is ordinal, interval or ratio, expressed in correlation coefficients (p=0.56 or p=-0.85)
T-test compares the means of two groups on 1 variable, must use interval or ratio levels of data (DV), must be used if 3 assumptions for parametric are not violated.
Created by: heber.hepworth