If z follows a standard normal distribution: Then what is P(z>2.17)? What would be the value of z if we knew that the area to the left of z is 0.985? What is the value for P(0≤ z ≤ 2.17)? (keep three decimal places)

If z follows a standard normal distribution: Then what is P(z>2.17)? What would be the value of z if we knew that the area to the left of z is 0.985? What is the value for P(0≤ z ≤ 2.17)? (keep three decimal places)

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Question

If z follows a standard normal distribution:

Then what is P(z>2.17)?

What would be the value of z if we knew that the area to the left of z is 0.985?

What is the value for P(0≤ z ≤ 2.17)? (keep three decimal places)

What is the value for P(-2.17 ≤z ≤2.17)? (keep two decimal places)

What is the value for P(z ≤ 2.17)? (keep three decimal places)

What is the value for P(z ≤ -2⋅17)? (keep three decimal places)

What is the value for P(z ≥ -2⋅17)? (keep three decimal places)

What is the value for P(-2.17≤ z ≤ 0)? (keep three decimal places)

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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