Statistics- z-scores,mean,standard deviation

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SUMMARY

The discussion centers on calculating the population's mean and standard deviation using z-scores. Given the z-scores of -2 for the value 40 and 3 for the value 90, the equations derived are 90 = μ + 3σ and 40 = μ - 2σ. Solving these linear equations yields a mean (μ) of 60 and a standard deviation (σ) of 10. This demonstrates the direct relationship between z-scores and the parameters of a normal distribution.

PREREQUISITES
  • Understanding of z-scores and their calculation
  • Familiarity with linear equations
  • Knowledge of mean and standard deviation concepts
  • Basic algebra skills for solving equations
NEXT STEPS
  • Study the properties of normal distributions and their applications
  • Learn how to calculate z-scores for different datasets
  • Explore the implications of standard deviation in data analysis
  • Investigate the use of statistical software for solving equations involving z-scores
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This discussion is beneficial for students in statistics, data analysts, and anyone interested in understanding the relationship between z-scores, mean, and standard deviation in population data sets.

n77ler
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Homework Statement



Suppose that 40 and 90 are two measurements of a population data set and that their z-scores are -2 and 3, respectively. Using only this information, is it possible to determine the population's mean and standard deviation? If so, find them. If not, explain why it's not possible.

Homework Equations





The Attempt at a Solution


Well 40 and 90 are two data numbers that we are given. Z-scores are deviations from the median of the data set. So the 90 in the population is 3 deviations to the right of the median. 40 is 2 deviations to the left of the median. So if 40 makes the z-score -2 and 90 makes it 3 can I relate them to come up with the median? I've been juggling the numbers but nothing I do seems to come up with a logical answer.
 
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One "relevant equation" would be
z= \frac{x-\mu}{\sigma}[/itex]<br /> <br /> Now stop &quot;juggling numbers&quot; and write down equations!<br /> As you say &quot;90 is 3 deviations right of the mean&quot;(NOT median!): 90= \mu+ 3\sigma<br /> &quot;40 is 2 deviations to the left of the mean&quot;: 40= \mu- 2\sigma<br /> <br /> Now that looks to me like two linear equations to solve for \mu and \sigma.
 
Actually after I posted I realized I messed up that terminology but had to go pick up family so I didn't have time to edit lol.

OK so, 90=x+3y
x=-3y+90

40=x-2y
40= (-3y+90)-2y
40=-5y+90
y=10

x=-3(10)+90
x=60

So mean= 60 and deviation = 10
 

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