Statistics, standard deviation help

AI Thread Summary
The discussion focuses on calculating the proportion of 20-year-old females with systolic blood pressure readings between 115 and 125, given a normal distribution with a mean of 120 and a standard deviation of 15. For part a, the z-scores are calculated as -0.333 and 0.333, yielding a probability of 0.2586 for readings in that range. In part b, when sampling 64 individuals, the standard error is determined to be 1.875, leading to z-scores of -2.6667 and 2.6667, resulting in a probability of 0.9924 for the sample mean falling between 115 and 125. The calculations emphasize the importance of using z-tables accurately, including interpolation for better precision. Overall, the thread illustrates key statistical methods for analyzing normally distributed data.
Calculator14
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Homework Statement


Suppose that the systolic blood pressure of 20 year old females is normally distributed with mean 120 and standard deviation 15.
a.) What proportion of 20 year old females will have readings between 115 and 125?
b.) If you selected a sample of 64 people from this population and then computed the mean; what is the probability that this mean value is between 115 and 125?


Homework Equations


(work shown below)


The Attempt at a Solution


a.)z= (115-120) / 15 = -0.333 P=.3707
z= (125-120) / 15 = 0.333 P=.6293
P(between 115 & 125) = .6293 - .3707 = 0.2586

b.) (15) / (64)^1/2 = 15/8 = 1.875
z= (115 – 120) / 1.875 = -2.6667 P=0.0038
z=(125 – 120) / 1.875 = 2.6667 P=0.9962
0.9962 – 0.0038 = 0.9924
 
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Calculator14 said:

Homework Statement


Suppose that the systolic blood pressure of 20 year old females is normally distributed with mean 120 and standard deviation 15.
a.) What proportion of 20 year old females will have readings between 115 and 125?
b.) If you selected a sample of 64 people from this population and then computed the mean; what is the probability that this mean value is between 115 and 125?


Homework Equations


(work shown below)


The Attempt at a Solution


a.)z= (115-120) / 15 = -0.333 P=.3707
This is actually for -0.33. If your table only gives two decimal places for z and you want better accuracy, you can interpolate between -0.33 and -0.34. -0.33 gives .3707 and -0.34 gives 0.3669. That's a difference of .3707- .3669= .0038 and .3 of that is 0.00114. Adding that back to .3669, we have 0.36804.

z= (125-120) / 15 = 0.333 P=.6293
P(between 115 & 125) = .6293 - .3707 = 0.2586

b.) (15) / (64)^1/2 = 15/8 = 1.875
z= (115 – 120) / 1.875 = -2.6667 P=0.0038
z=(125 – 120) / 1.875 = 2.6667 P=0.9962
0.9962 – 0.0038 = 0.9924
 
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