Find the area under the standard normal distribution curve for the following (USE TABLE E) 1) Between Z=0 and Z=2.82 2) To the left of z=-1.35 and to the right of z=2.45 3) Find the z value to the right of the mean so that 88.88% of the area under the distribution curve lies to the left of it.
Find the area under the standard normal distribution curve for the following (USE TABLE E) 1) Between Z=0 and Z=2.82 2) To the left of z=-1.35 and to the right of z=2.45 3) Find the z value to the right of the mean so that 88.88% of the area under the distribution curve lies to the left of it.
Find the area under the standard normal distribution curve for the following (USE TABLE E) 1) Between Z=0 and Z=2.82 2) To the left of z=-1.35 and to the right of z=2.45 3) Find the z value to the right of the mean so that 88.88% of the area under the distribution curve lies to the left of it.
Find the area under the standard normal distribution curve for the following (USE TABLE E)
1) Between Z=0 and Z=2.82
2) To the left of z=-1.35 and to the right of z=2.45
3) Find the z value to the right of the mean so that 88.88% of the area under the distribution curve lies to the left of it.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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