Standard Error of the Mean in Statistics

 
Standard Error
 
Mr. Freidhoff
Standard Deviation Example Problem
 
Data: 5, 10, 15,
15, 30
n = 5
X = 15
SD = 9.35
 
Standard Error of the Mean
 
Statistical measure of how
far the sample average of
the data is likely to be from
the true population mean.
Standard error bars
Graph 2 SEMs.
Standard Error of the Mean
 
Smaller error bars indicate
more significant data.
Large data sample sizes
Small variation in data
Larger error bars indicates
less significant data.
Small data sample sizes
Large variation in data
 
 
Standard Error Bars
 
When error bars
overlap, the data is
not significant.
When error bars
don’t overlap, data
is significant.
 
Graphing Standard Error of the Mean
 
Data A
Mean = 10
SEM = +/- 1
Data B
Mean = 8
SEM = +/- 3
Standard Error of the Mean
 
SE
x
 = standard error
of the mean
S = standard
deviation
n = number of data
points
 
Example Problem
 
S = 1.58
n = 5
x̅ = 3
SEM = 1.58/ √(5)
SEM = 0.7
 
Standard Error:
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Statistical measures like standard error of the mean (SEM) help assess how closely a sample average represents the true population mean. Smaller SEM indicates more significant data with large sample sizes and low variation, while larger SEM signifies less significant data with small sample sizes and high variation. Error bars in graphs visually represent data significance, where overlapping bars suggest insignificance and non-overlapping bars denote significance. Through examples and visuals, grasp the concept of SEM, calculations, and its importance in data interpretation.

  • Statistics
  • Standard Error
  • Mean
  • Data Analysis

Uploaded on Sep 25, 2024 | 1 Views


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  1. Standard Error Mr. Freidhoff

  2. Standard Error of the Mean Statistical measure of how far the sample average of the data is likely to be from the true population mean. Standard error bars Graph 2 SEMs.

  3. Standard Error of the Mean Smaller error bars indicate more significant data. Large data sample sizes Small variation in data Larger error bars indicates less significant data. Small data sample sizes Large variation in data

  4. Standard Error Bars When error bars overlap, the data is not significant. When error bars don t overlap, data is significant.

  5. Graphing Standard Error of the Mean Data A Mean = 10 SEM = +/- 1 Data B Mean = 8 SEM = +/- 3

  6. Standard Error of the Mean SEx= standard error of the mean S = standard deviation n = number of data points

  7. Example Problem S = 1.58 n = 5 x = 3 SEM = 1.58/ (5) SEM = 0.7

  8. Mean Standard Error: 4 3.5 3 2.5 2 1.5 1 0.5 0 Data Set 1 Data Set 2

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