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anonymous
 one year ago
The weights of 1,000 men in a certain town follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds.
From the data, what is the number of men weighing more than 165 pounds? What is the number of men weighing less than 135 pounds?
anonymous
 one year ago
The weights of 1,000 men in a certain town follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds. From the data, what is the number of men weighing more than 165 pounds? What is the number of men weighing less than 135 pounds?

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amistre64
 one year ago
Best ResponseYou've already chosen the best response.1so we need to determine the percentage associated with a given z score

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1what do you have to process this with? ti83? or tables?

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0all i have is the data i was given, thats it

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1you need to have some means to calculate the stats with.

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1how can you take a stats course and not have a method to process a solution?

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0i got 159 for the first one. not really sure if its correct

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1finding a zscore is relatively simple math ... but converting that to a proper percentage takes tables or a stat calculator/program

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0yea thats why this problem is stressing me out

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1\[z=\frac{x\mu}{\sigma}\] \[z=\frac{165150}{15}=1\]

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1so we would need to determine the probability of z>1 in this case. how accurate do we need to be? there is a approximation rule

amistre64
 one year ago
Best ResponseYou've already chosen the best response.164/2 = 34 + 50 = 84 100  84 = 16, so about 16% of 1000 would be an estimate, but how good of an estimate do they want?

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0there is none, simply says "From the data, we can conclude that the number of men weighing more than 165 pounds is about ___________, and the number of men weighing less than 135 pounds is about _____________."

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0im guessing to the nearest whole number?

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1135 to 150 is 15 as well, so 1 standard deviation below the mean ... a normal distribution is symetric about the mean so both values should be the same

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1P(z<1) = P(z>1) = about 16% using the empirical rule

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1so, what is 16% of 1000?

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1or is it 14%? 50  34 = 20  4 = 16 .. its 16%

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1youve got alot of memorization to tackle for this course :) there is a rule that says about 68% of the data falls within + 1 sd from the mean the mean is 50, and half of 68 is 34 50  34 = 16 .... we have 16% that covers our information ... soo, what is 16% of 1000?

amistre64
 one year ago
Best ResponseYou've already chosen the best response.1dinners ready ... good luck

anonymous
 one year ago
Best ResponseYou've already chosen the best response.0alright thanks anyways
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