Symbol Interpretation
This measures the strength and direction of the linear relationship between the x variable and the y variable
What is r?
What is BINS
Binary, Independent, Normal, probability of Success
Degrees of Freedom for a test of Slope
What is n - 2
If you are comparing two distributions, you must do this to get credit.
Use comparison words in context. Words like "more than", "less than"
(Example: The mean score of Mr. B's class is higher than the mean score of Mrs. Z's class)
Generlaize results to the population of interest if
The "estimated" or "predicted y value (state in context) for a given x-value (state in context)
What is y-hat?
Helps us describe univariate data?
What is SOCS?(or SOCCS which reminds us to give context)
Shape, Outliers, Center, Spread
Degrees of Freedom of a test of homogeneity or association/indpendence
What is (# of rows -1)(3 of columns - 1)
We should never do this when predicting with an LSRL
What is extrapolation.
Interpret confidence interval
What is "I am ___% confident that hte interval from ___ to___ captures the true ____.
% of variation in y (context) is accounted for by the LSR of y(context) on x (context)
What is r2?
Helps us to describe bivariate data.
DOFS
Direction, Outliers, Form, Strength
Degrees of Freedom for a the difference of means if you finding it manually.
What is n-1 of the smaller sample.
You can never infer this unless you know you have a well controlled experiment with a large enough sample.
What is causation?
Interprete Confidence Level
measures the standard deviation of the estimated slope for predicting the y variable (context) from the x variable (context).
What is SEb?
Conditions for Inference on Slope
What is LINER
Linear, Indpendent, Normal (histogram of residuals), Equal variance of residuals, Random
How do you satisfy the Large Sample Size for Chi Square tests
Expected Counts are at least 5
This words are good words to show that we are the numbers are not certain, only helping us to conclude (you only need one of the words)
What is "estimating, predicting, or approximately".
Explain P-Value
Assuming the the null is true (in context), the P-value measures he chance of abserving a statistic (or differnce in statistics (context) as large as or larger than the one actually observed.
It measures the typical distance between the actual y-values (context) and their predicted y-values (context)
What is s?
The Words that describe that when n is large the sampling distributin of the sample mean x-bar is approximately Normal.
What is CLT?
Central Limit Theorem
What is Add the lower tail to the confidence level and look in the body of the table for that percentage, then find the appropriate z-score in the margins.
Instead we reject or fail to reject.
The data is collected in such a way that ther is no systembatic tendency to overestimate or underestimate the true value of the population parameter . (also fine if you say that the man of the sampling distributin equal the true value of the parameter being estimated)