Question #250376

1. Explain the difference between testing a single mean and testing the difference between two means.


2. What two assumptions must be met when you are using the z test to test differences between two means? Can the sample standard deviations š‘ 1 and š‘ 2 be used in place of the population standard deviations šœŽ1 and šœŽ2? 


Expert's answer

1.

for z- test:

testing a single mean:

H0:μ=AH_0:\mu=A

Ha:μ≠AH_a:\mu\neq A

z=xāˆ’Ī¼Ļƒz=\frac{x-\mu}{\sigma}


testing the difference between two means:

H0:μ1=μ2H_0:\mu_1=\mu_2

Ha:μ1≠μ2H_a:\mu_1\neq \mu_2

z=μ1āˆ’Ī¼2σ12/n1+σ22/n2z=\frac{\mu_1-\mu_2}{\sqrt{\sigma_1^2/n_1+\sigma^2_2/n_2}}


2.

It can be:

σ1=σ2\sigma_1=\sigma_2 or σ1ā‰ Ļƒ2\sigma_1\neq\sigma_2


The sample standard deviations š‘ 1 and š‘ 2 cannot be used in place of the population standard deviations šœŽ1 and šœŽ2.

s1=σ1/n1,s2=σ2/n2s_1=\sigma_1/\sqrt{n_1}, s_2=\sigma_2/\sqrt{n_2}


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