The measured weights of 1,000 men in a certain village follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds. Which sentence most closely summarizes the data? About 160 people weigh more than 165 pounds. About 320 people weigh more than 165 pounds. About 320 people weigh less than 165 pounds. About 640 people weigh less than 165 pounds.
The weight 165 pounds is 1 standard deviation above the mean weight of 150 pounds. Therefore the z-score for 165 pounds is 1.0. The cumulative probability of weights less than 65 pounds can be found from a standard normal distribution table such as the one here: http://lilt.ilstu.edu/dasacke/eco148/ztable.htm When you have found the cumulative probability of weights less than 165 pounds multiply by 1000 to find approximately how many people weigh less than 165 pounds. The correct choice of answer can then be found.
@Nenaa105 Do you understand how to solve it now? If not, please ask for help on what is not clear to you.
no im confused, could you show me how to solve it step by step please
Have you looked at the link that I posted?
yes
z values in the table are in the left-most column. When z is 1.0 what value is in the column next to the z value of 1.0?
z .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 .5359 0.1 .5398 .5438 .5478 .5517 .5557 .5596 .5636 .5675 .5714 .57
.5398
No. It is .8413
So now multiply 0.8413 by 1000 to find approximately how many people weigh less than 165 pounds. What you you get?
oh ok ok i got it thank you
No problem! Your welcome!!:)
and how do you solve for z?
What was your answer, so I can help you further?
841.3
wait but thats too much
Do you not understand?
Anyways: Since you got 841.3 Now subtract 841 from 1000 to find approximately how many people weigh more than 165 pounds.
What is it?
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