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μ
Population mean
σ
Standard deviation of a population
x̄
Sample mean
s
Standard deviation of symbol
Ps
Sample proportion
Pu
Population proportion
Confidence interval using sample means, large samples (N>100), population standard deviation known
c.i. = X̄ ± Z(σ / √N)
Confidence interval using sample means, large samples (N>100), population standard deviation unknown
c.i. = X̄ ± Z(s / √(N − 1))
Confidence interval using sample proportions, large samples (N>100)

Step 1
Random sampling
Level of measurement (usually interval/ratio)
Sampling distribution is normal
Step 2
Null hypothesis (H₀) - always a statement of “no difference”
H₁ - alternative hypothesis
Step 3
Selecting sampling distribution + establish critical region
Over 100 - Z distribution
Alpha (a) = .5 (.1, .01, .001, .0001)
If obtained Z score falls in the CR, reject the H₀
Step 4
Z(obt)

Step 5
Compare test statistic with the critical region
If test statistic falls into CR, reject the null hypothesis
If not, fail to reject hypothesis
One tailed
H₁: μ>7.2
Two tailed
H₁: μ≠7.2
H₁: μ>7.2
CR on right side
H₁: μ<7.2
CR on left side