1. What is the z-score corresponding to P66
2. What is the z-score corresponding to Q1
3. For a normal distribution with μ μ = 40 and σ σ = 3.1, determine P(x > 43.906).
4. For a standard normal distribution, determine the z-score, z0, such that P(z > z0) = 0.0931.
5. For a standard normal distribution, determine the z-score, z0, such that P(z < z0) = 0.9698.
6. From a normal distribution with μμ = 76 and σσ = 5.9, samples of size 46 are chosen to create a sampling distribution. In the sampling distribution determine P(74.399 < ¯xx¯ < 78.079).
7. From a normal distribution with μμ = 81 and σσ = 2.7, samples of size 48 are chosen to create a sampling distribution. In the sampling distribution determine the probability that a sample mean is between 81.109 and 81.398.
8. From a normal distribution with μμ = 47 and σσ = 5.8, samples of size 33 are chosen to create a sampling distribution. In the sampling distribution determine the probability that a sample mean is at least 45.768.
9. From a normal distribution with μμ = 34 and σσ = 3.7, samples of size 46 are chosen to create a sampling distribution. In the sampling distribution determine the probability that a sample mean is at most 35.107.
Please help with the following questions, would like to make sure I'm on the right track as for as my work shown.
1. For P66, z value is
Using z table we get z=0.412 such that
2. Here we need to find z such that
Using z table we get z=-0.674 such that
3. Here we need to find
As distribution is normal we can convert x to z
4. Here we need to find z0 such that P(z > z0) = 0.0931
Using z table we get P(z>1.322)=0.0931
So z value is 1.322
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