A few days ago
Tim

Need help with Statistics!!?

I am totally lost with the following question, can anyone help me answer it?

Thanks!

4. A forester measured 27 of the trees in a large forest that is to be sold. He found that mean diameter of the 27

trees was 10.4 inches with a standard deviation of 4.7 inches. Suppose that this group of trees provides an accurate description of the trees in the whole forest and that the distribution of the tree diameters is Normal.

a. What are the limits within which you would expect to find the middle 95% of the tree diameters?

b. What percent of the trees would have a diameter of 1 inch or less?

c. What percent of the trees would have a diameter between 5.7 and 10.4 inches?

d. What percent of the trees would be over 15 inches in diameter?

e. What percent of the trees would be less than 10.4 inches in diameter?

Top 2 Answers
A few days ago
michele

Favorite Answer

68% of trees will be within one standard deviation of the mean (i.e., between 5.7 and 15.1 inches)

95% of trees will be within two standard deviations of the mean

99% of trees will be within three standard deviations of the mean

I’ll get you started on question (a). For this one, you need to determine the range that constitutes 95% of the population of tree diameters. 95% (see above) will be within TWO standard deviations of the mean. That means you need to

1) multiply the SD by 2 (i.e., 4.7 x 2)

2) take the figure from above and ADD it to the mean to get the upper limit (i.e., 10.4 + 9.4 = 19.8)

3) take the figure from above and SUBTRACT it from the mean to get the lower limit (i.e., 10.4 – 9.4 = 1.0)

That should give you a good start. Just think it out. Take a look at the normal distribution and that will give you the rest of your answers.

Good luck!

~M~

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A few days ago
Merlyn
for any normal random variable X, you can translate into standard units by z = (X – μ) / σ, where μ is the mean of X and σ is the standard deviation of X.

the standard normal scores for the having the middle 95% of the data is z = ±1.96

a) 10.4 ± 1.96 * 4.7 = (1.188 , 19.612)

b) P(X < 1) = = P(Z < (1 - 10.4) / 4.7) = P(Z < -2) = 0.02275013 c) P(5.7 < X < 10.4) = P(-1 < Z < 0) = P(Z < 0) - P(Z < -1) = 0.50 - 0.1586553 = 0.3413447 d) P(X > 15)

= P(Z > 0.9787)

= 0.1638583

e) P(X < 10.4) = P(Z < 0) = 0.50 look at getting R, it is free software and the most powerful stats software. www.r-project.org

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