Ap Final Flashcards

get a 4 plz

1
Q

Chi-Square Formula

A

(observed value - expected value)² / expected value
you do this for all the variables and then add them all together

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2
Q

How to Calculate Chi-Square goodness of fit

A
  1. Put observed values in L1 and expected values in L2
  2. Go to GOF Test in stat-tests
  3. Degree of freedom is number of categories minus 1
  4. Use p-value to reject/fail to reject null hypothesis :)
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3
Q

Z Tests

A
  • 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)
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4
Q

T Tests

A
  • Compares sample data
  • Population variance is unknown
  • Used when you have a small sample size (typically less than 30)
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4
Q

How to describe a Least Squares Regression Line on a FRQ

A

C – Context
D – Direction (positive/negative)
O – Outliers
F – Form (linear/non-linear)
S – Strength (strong/moderate/weak)

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5
Q

How to make Confidence Interval from Least Squares Regression Line

A

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

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6
Q

What a zero in the confidence interval means

A

there is no statistically meaningful or statistically significant difference between the groups

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7
Q

Conditions of hypothesis test or confidence interval of Least Squared Regression line

A

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)

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8
Q

A

Sample Mean

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9
Q

Sx

A

Sample Standard Deviation

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10
Q

μ

A

Mean

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11
Q

μ0

A

Mean from Null Hypothesis

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12
Q

μA

A

Mean from Alternative Hypothesis

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13
Q

Test to compare paired t values

A

T test

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13
Q

Test to compare independent t values

A

One sample t interval

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14
Q

σ

A

Standard Deviation

14
Q
A