Help - E = otherwise Confidence Interval for : 2 s x t n...

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ASSISSTANCE FOR TEST 1 CHAPTER 2: Relative Frequency = f f Class Midpoint = Average of Consecutive Lower Class Limits Class Width = Difference between 2 Consecutive Lower Class Limits Class Width = _ _ Max Min Number of Classes - Rounded Up CHAPTER 3: Weighted Mean = ( 29 * x f f , x z score μ σ - - = IQR = Q3 – Q1 Lower Fence = Q1 – 1.5*IQR Upper Fence = Q3 + 1.5*IQR Most statistics: “STAT” “CALC” “1-VARSTAT L 1 CHAPTER 5: P(A or B) = P(A) + P(B) – P(A AND B) ( ) ( ) 1 ( ) C P A P A P A = = - P(A and B) = P(A)*P(B) If A and B are independent P(A and B) = P(A)*P(B|A) If A and B are dependent Permutation: ! ( )! n r n P n r = - Combination: ! ( )!* ! n r n C n r r = -
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ASSISSTANCE FOR TEST 1. CHAPTER 6: Most Statistics: “STAT” “CALC” “1-VARSTAT L1, L2” E(x) = µ = Binom p df Binom c df Binomial , Poisson p df Poisson c df CHAPTER 7: normalcdf(left boundary, right boundary,µ, σ ) InvNorm(Area to the Left,µ, σ ) CHAPTER 8: Central Limit Theorem:
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Chapter 9: Sample Size Estimate for Proportions: 2 2 (1 ) Z n p p E α ÷ ÷ = - ) ) if a is known 2 2 .25 Z n
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Unformatted text preview: E = otherwise Confidence Interval for : 2 s x t n T-Interval Confidence Interval for p: ( 29 2 1 p p p Z n- ) ) ) 1-PropZInt Confidence Interval for : ( 29 2 2 2 1 _ n s Lower Bound-= ( 29 2 2 1 2 1 _ n s Upper Bound--= Chapter 10: Test Statistics: Means: x t s n -= T-Test Proportions: ( 29 1 p p z p p n-=-) 1-PropZTest SD/Variance: ( 29 2 2 2 1 n s - = CHAPTER 4 Linear Regression Coefficient = r Regression Equation: y a bx = + ) To find both the Linear Regression Coefficient and the Regression Equation: STAT TESTS LinearRegTTest Residual = (observed y predicted y) = ( y y-) ) CHAPTER 11 Hypothesis Test 2 Means Dependent (Matched Pairs) T-Test on L 3 2 Means Independent (not pooled) 2-SampTTest 2 Proportions Independent 2-PropZTest 2 Standard deviations, Independent F-Test...
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Help - E = otherwise Confidence Interval for : 2 s x t n...

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