The mean of the sampling distribution is ![{p_{a}}-p__b}](https://tex.z-dn.net/?f=%7Bp_%7Ba%7D%7D-p__b%7D)
The mean of a sampling distribution is the population mean from which values are sampled. For a population of mean μ, the mean of the sampling distribution is ![\mathbf{ \mu_x}](https://tex.z-dn.net/?f=%5Cmathbf%7B%20%5Cmu_x%7D)
∴
![\mathbf{\mu_x = \mu}](https://tex.z-dn.net/?f=%5Cmathbf%7B%5Cmu_x%20%3D%20%5Cmu%7D)
From the parameters given:
- Suppose that independent random samples of 50 species-a flowers
- and 100 species-b flowers are selected
where;
= sample proportion of blue specie-a
= sample proprotion of blue specie-b
The mean of the sampling distribution of
is ![{p_{a}}-p__b}](https://tex.z-dn.net/?f=%7Bp_%7Ba%7D%7D-p__b%7D)
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brainly.com/question/12892403
I think you should go to the vet.
You never know, it could have rabies.
<span> set by the experimenter, then the effect is said to be significant</span>
Answer:
avoiding
Explanation:
In Knapp's relational development model, avoidance comes after stagnation when we discuss the coming apart stages. Stagnation is preceded by differentiating and circumscribing. Avoidance is followed by termination.