Standard deviation, raw score etc

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SUMMARY

The discussion centers on statistical concepts related to standard deviation, mean, and confidence intervals. The test has a mean of 80, a standard deviation (SD) of 5, and a standard error of measurement (SEM) of 3. Jim's score of 85 is identified as both the raw score and the observed score. The confidence intervals (CI) are calculated as follows: for 68% CI, the range is from 77 to 83, and for 95% CI, the range is from 74.12 to 85.88.

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  • Knowledge of how to calculate confidence intervals using standard deviation and standard error.
  • Ability to interpret raw scores and observed scores in the context of test results.
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  • Learn how to calculate confidence intervals for different confidence levels using standard error.
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saharalynne
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-3 SD -2 SD -1 SD 80 +1SD +2 SD +3 SD
mean
65 70 75 85 90 95

The test has a mean of 80, a standard deviation of 5 and a standard error of measurement of 3.
Information given: Mean = 80 SD = 5 SEM = 3 Jim’s score = 85

I need to know the raw score, observed score, true score, ci for 68 and 95
 
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saharalynne said:
-3 SD -2 SD -1 SD 80 +1SD +2 SD +3 SD
mean
65 70 75 85 90 95The test has a mean of 80, a standard deviation of 5 and a standard error of measurement of 3.
Information given: Mean = 80 SD = 5 SEM = 3 Jim’s score = 85

I need to know the raw score, observed score, true score, ci for 68 and 95

Hi saharalynne! Welcome to MHB! (Smile)

The raw score is the original untransformed score, which is the same as the observed score.
We can never know the true score, since what we measure always contains an unknown error.

The confidence interval (CI) at confidence level 68% is the interval from Mean - SEM to Mean + SEM.
And the CI at confidence level 95% is the interval from Mean - 1.96 x SEM to Mean + 1.96 x SEM.

Can you tell what each of those are? (Wondering)
 

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