Accepting/Rejecting Measurement of 58mm Using Cahvenenet's Criterion

  • Thread starter Thread starter stunner5000pt
  • Start date Start date
  • Tags Tags
    Measurement
Click For Summary
SUMMARY

The discussion centers on the application of Cahvenenet's criterion to determine whether to accept or reject a measurement of 58mm based on a set of ten measurements. The average of the measurements is calculated as 45.8mm with a standard deviation of 5.1mm, leading to a t-sus value of 2.4 standard deviations. According to the criterion, if the probability of the measurement falling outside this range is less than 0.5, the measurement is rejected; otherwise, it is accepted. The probability of being within 2.4 standard deviations is determined to be 0.984, indicating that the measurement of 58mm should be rejected.

PREREQUISITES
  • Understanding of statistical concepts such as mean and standard deviation
  • Familiarity with the normal distribution and its properties
  • Knowledge of hypothesis testing and acceptance criteria
  • Ability to use statistical calculators or software for probability calculations
NEXT STEPS
  • Learn about the application of Cahvenenet's criterion in statistical analysis
  • Study the properties of the normal distribution and how to calculate probabilities
  • Explore hypothesis testing techniques in statistics
  • Utilize online statistical calculators for probability and distribution analysis
USEFUL FOR

Students, statisticians, and researchers involved in data analysis, particularly those focusing on measurement validation and statistical hypothesis testing.

stunner5000pt
Messages
1,447
Reaction score
5

Homework Statement


A student makes 10 measurements of length x and gets the results all in mm

46,48,44,38,45,47,58,44,45,43

Using cahuvenenet's criterion should he accept or reject the measurement of 58??


Homework Equations


[itex]\overline{x}[/itex] = average
[itex]sigma_{x}[/itex] = standard deviation
[itex]x_{sus}[/itex] = the measurement we want to reject or accept
[tex]t_{sus} = \frac{x_{sus}-\overline{x}}{\sigma_{x}}[/tex]
the number of standard deviationsfrom which x sus differes from x bar
n(worse than [itex]x_{sus}[/itex]) = N P(outside [itex]t_{sus} \sigma_{x}[/itex])

is n < 0.5 then 58 is rejected

if n > 0.5 then 58 is accepted

The Attempt at a Solution


well the average
x bar = 45.8
standrad deviation = 5.1
[tex]t_{sus} = 2.4[/tex] standard deviations

then
P(putside 2.4[itex]\sigma[/itex]) = 1 - P(within 2.4 [itex]\sigma[/itex])
= 1 - 0.984
the 0.984 is taken from a table which shows the percent probability
P(within [itex]t\sigma[/itex])= \int_{X-t\sigma}^{X+t\sigma} f_{X,\sigma} (x) dx [/tex], as a function of t

but why is .984?? Why is it that the probability should be chonse to be 0.01 and not 0.00 ... or 0.02??

thanks for your help in advance!
 
Physics news on Phys.org
I'm not sure exactly what you are asking, but the .984 is the probablility that a measurement made on normally distributed data will be within 2.4 standard deviations of the mean. I've never heard of cahuvenenet's criterion, but then I'm hardly an expert in things statistical. .984 is the area under the normal distribution function from -2.4 to +2.4 standard deviations. There are several calculators online for finding and graphing these areas. Here is one of them:

http://www.math.csusb.edu/faculty/stanton/probstat/normal_distribution.html
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 3 ·
Replies
3
Views
5K
  • · Replies 150 ·
6
Replies
150
Views
22K
  • · Replies 3 ·
Replies
3
Views
2K