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\(x\) | \(P(x)\) |
---|---|
20 | 0.7 |
30 | 0.3 |
Use the five-step method to derive two sampling distributions of the mean from a sample of observations (\(\bar{x}\)): one based on a sample size of \(n\) = 2, and a second based on a sample size of \(n\) = 3. (Hint: When \(n\) = 2 there are four possible samples in the sample space, and one of these samples is 20, 30. But when \(n\) = 3 there are eight possible samples, and one of these samples is 20, 20, 30.)
In the previous problem you derived the sampling distribution of the mean volume of a random sample of \(n\) = 3 observations of the volumes of trees. Now use the five-step method to derive the sampling distribution of the median volume of a random sample of \(n\) = 3 observations of the volumes of trees. Recall that the median is defined as the middle observation when the observations are arranged in increasing order. (Hint: You can use the same sample space that you obtained when you were deriving the sampling distribution of the mean.)
Consider again the population distribution from lecture for the preference of one female platy fish, but with different probabilities.
\(x\) |
\(P(x)\) |
---|---|
C |
0.4 |
Y |
0.6 |
Here \(C\) and \(Y\) represent a preference for the clear-tailed and the yellow-tailed male, respectively. Use the five-step method to derive the sampling distribution of the proportion (\(\hat{p}\)) of platy fish in a sample of \(n\) = 2 observations that show a preference for the yellow-tailed male. Then use the five-step method to derive the sampling distribution when the sample size is \(n\) = 3.
The number of observations on which the female platy prefers the yellow-tailed male has a binomial distribution. Note that we define a “success” as a female preferring the yellow-tailed male, and so the probability of a success is as given by the population distribution. Derive the sampling distribution for the proportion of observations out of \(n\) = 2 on which the female platy prefers the yellow-tailed male using the formula for the binomial distribution. Then use the binomial distribution formula to derive the sampling distribution for a sample size of \(n\) = 3. Note that you should get the same sampling distributions using the formula for the binomial distribution as you did when you used the five-step method in the previous problem.
\(\bar{x}\) | \(P(\bar{x})\) |
---|---|
20 | 0.49 |
25 | 0.42 |
30 | 0.09 |
\(\bar{x}\) | \(P(\bar{x})\) |
---|---|
20.00 | 0.343 |
23.33 | 0.441 |
26.67 | 0.189 |
30.00 | 0.027 |
Note that the sample mean has been rounded in the case when \(n\) = 3.
\(m\) | \(P(m)\) |
---|---|
20 | 0.784 |
30 | 0.216 |
\(\hat{p}\) | \(P(\hat{p})\) |
---|---|
0.0 | 0.16 |
0.5 | 0.48 |
1.0 | 0.36 |
\(\hat{p}\) | \(P(\hat{p})\) |
---|---|
0 | 0.064 |
1/3 | 0.288 |
2/3 | 0.432 |
1 | 0.216 |