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Mathematics 14 Online
OpenStudy (anonymous):

WILL FAN AND MEDAL The standard normal curve shown below models the population distribution of a random variable what proportion does not lie between the two z-scores of the diagram? A 0.3097 B 0.3025 C 0.3148 D 0.3310 E 0.3234 http://assets.openstudy.com/updates/attachments/51925796e4b0e9fd532950fe-amandaplease-1368545194919-76438b2856b74a45a1111049dde24c2e.gif

OpenStudy (anonymous):

@jim_thompson5910

OpenStudy (anonymous):

@kropot72

OpenStudy (kropot72):

Do you know how to use a standard normal distribution table?

OpenStudy (anonymous):

No

OpenStudy (kropot72):

Are you expected to use technology, such as a statistical graphing calculator, to solve this?

OpenStudy (anonymous):

Not really sure. They just expect me to know the answer.

OpenStudy (kropot72):

I can guide you in the use of a standard normal distribution table such as the one here: http://www.math.bgu.ac.il/~ngur/Teaching/probability/normal.pdf Shall we continue?

OpenStudy (anonymous):

Yeah sure

OpenStudy (kropot72):

First use the table to find the cumulative probability when z = -1.3. Find -1.3 in the left hand column, then go to the value beside -1.3 in the next column. What do you get?

OpenStudy (anonymous):

0.0968

OpenStudy (kropot72):

Good work! Now find the cumulative probability for z = 0.75. When you find 0.7 in the left hand column, you will need to move across to the column headed 0.05 to read the probability value for 0.75.

OpenStudy (anonymous):

0.7734

OpenStudy (kropot72):

Correct again! Now we can find the proportion that lies between the two given z-scores by simple subtraction: Hatched proportion = 0.7734 - 0.0968 = ? When you have calculated this we can proceed to the final step.

OpenStudy (anonymous):

0.6766

OpenStudy (kropot72):

Correct. Now we have found the proportion that is hatched, we can find the required proportion that lies outside the hatched area by subtracting again. This is because the total area under the curve is 1.0000. Proportion not lying between the two z-scores = 1.0000 - 0.6766 = ?

OpenStudy (anonymous):

0.3234

OpenStudy (kropot72):

You are correct! Good work :)

OpenStudy (anonymous):

Yaaaay thank you

OpenStudy (kropot72):

You're welcome :)

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