Ap Final Flashcards
get a 4 plz
Chi-Square Formula
(observed value - expected value)² / expected value
you do this for all the variables and then add them all together
How to Calculate Chi-Square goodness of fit
- Put observed values in L1 and expected values in L2
- Go to GOF Test in stat-tests
- Degree of freedom is number of categories minus 1
- Use p-value to reject/fail to reject null hypothesis :)
Z Tests
- Typically deals with proportions or percentages
- Compare the sample mean (μ) to the population mean (μ0)
- Population variance is known
- Used when you have a large sample size (typically more than 30)
T Tests
- Compares sample data
- Population variance is unknown
- Used when you have a small sample size (typically less than 30)
How to describe a Least Squares Regression Line on a FRQ
C – Context
D – Direction (positive/negative)
O – Outliers
F – Form (linear/non-linear)
S – Strength (strong/moderate/weak)
How to make Confidence Interval from Least Squares Regression Line
Constant Coefficient (Predictor Coef SE Coef T P Table) aka the y intercept multiplied by Income Coefficient (Predictor Coef SE Coef T P Table) aka the slope
Multiplied by t critical value
1. Subtract 2 from number of categories for degrees of freedom
2. 2nd –> VARS –> 4: InvT
3. 0.025 for 95% confidence interval
Slope plus or minus the y intercept multiplied w ith t critical value is confidence interval
What a zero in the confidence interval means
there is no statistically meaningful or statistically significant difference between the groups
Conditions of hypothesis test or confidence interval of Least Squared Regression line
L - Linear (not curved)
I - Independent (less than 10% of everything is sampled)
N - Normal (vibe it out idk)
E – Equal SD (look for heteroscedasticity, as in the line growing in opposite directions instead of being linear)
R - Random (duh)
x̄
Sample Mean
Sx
Sample Standard Deviation
μ
Mean
μ0
Mean from Null Hypothesis
μA
Mean from Alternative Hypothesis
Test to compare paired t values
T test
Test to compare independent t values
One sample t interval