Suppose that the diameters of oak trees are normally distributed with a mean of 4 feet and a standard deviation of 0.375 feet. Step 1 of 5: What is the probability of walking down the street and finding an oak tree with a diameter of more than 4.875 feet? [Remember to round probabilities to 4 decimal places] Step 2 of 5: What is the probability that the tree you find is between 4.2 and 5 feet in diameter? Step 3 of 5: Interpret your probability from the previous step. Step 4 of 5: If we wanted to look at the top 26% of trees, what would their minimum diameter be? [Round to 2 decimals] Step 5 of 5: If we know that all the trees in our neighborhood are in the bottom 12% of tree diameters, what is the largest one we could expect to find?
Step 1 of 5:
for normal distribution z score =(X-μ)/σx | |
here mean= μ= | 4 |
std deviation =σ= | 0.3750 |
probability = | P(X>4.875) | = | P(Z>2.33)= | 1-P(Z<2.33)= | 1-0.9901= | 0.0099 |
Step 2 of 5: :
probability = | P(4.2<X<5) | = | P(0.53<Z<2.67)= | 0.9962-0.7019= | 0.2943 |
Step 4 of 5:
for 74th percentile critical value of z= | 0.64 | ||
therefore corresponding value=mean+z*std deviation= | 4.24 |
Step 5 of 5:
for 12th percentile critical value of z= | -1.17 | ||
therefore corresponding value=mean+z*std deviation= | 3.56 |
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