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ONE SAMPLE Z TEST
NULL and ALTERNATIVE HYPOTHESIS: (testing if the person is younger)
H₀: μ x̄ > or = 40 (The average age in his company is not younger than the norm.)
HA: μ x̄ < 40
(The average age in his company is younger than the norm.)
NULL and ALTERNATIVE HYPOTHESIS: (testing if the person is older)
H₀: μ x̄ ≤ 40
(The average age in his company is NOT older than the norm.)
H₁: μ x̄ > 40
(The average age in his company is older than the norm.)
Mean
xˉ=Σx
—-
N
Standard Error of Mean
o= SD from the prompt
u= average/ mean from prompt
Z test Calcuation
Interpreting the findings (significant)
z= -1.79 , p < 0.05 (our number is better then p)
(our number falls in grey area)
Interpreting the findings (NOT significant)
z = -1.79, p > 0.05 (our number is not significant to p )
Z TEST 2 TAILED
NULL AND ALT HYPOTHESIS
H0:μ x̄ =6(no difference between the population mean and 6)
HA:μx̄ ≠6(the population mean is different from 6)
Type I Error
If p < α → Reject H₀
Type II Error
If p > α → Fail to reject H₀
T- TESTS
Null and Alternative Hypothesis
H0:μ x̄ =69.5 (the average math score is not different from the norm)
HA:μx̄ ≠69.5 (the average math score is different from the norm)
Standard Error of Mean
T calc Score
Interpretation Written Statement (SIGNIFICANTLY HIGHER)
(t(9) = + 4.00, p < 0.01)