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Aim: How do we apply standard deviation to the normal distribution curve

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Find the mean of this data, to the nearest tenth. ... How many scores fall within one standard deviation above and below the mean? ... – PowerPoint PPT presentation

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Title: Aim: How do we apply standard deviation to the normal distribution curve


1
Aim How do we apply standard deviation to the
normal distribution curve?
  • HW3 Complete Worksheet

2
Do Now
  • The grades in Mr. Ruizs statistics class are as
    follows
  • What are the mean (to the nearest hundred), the
    median, and the mode for these scores?
  • Without doing further calculations, can you tell
    if these scores are normally distributed?
    Explain.
  • Find the variance and standard deviation to the
    nearest hundredth.

3
What is a frequency polygon?
  • Frequency Polygon a line graph, determined by
    connecting the midpoints of the upper edges of
    all the bars

4
From the do now
5
What does standard deviation really mean on the
curve?
  • We start at the mean (the center of the curve)
    and to get the next intervals we count one
    standard deviation up and down and continue
    on(dont go past 3 standard deviations)

6
How do we fill in the curve?
  • Starting at the mean, as we move up the curve we
    continue to add one standard deviation
  • As we go down the curve we subtract the standard
    deviation from the mean

7
For the do now
  • Mean 81.8
  • Standard Deviation 9.8

8
What else does the curve tell us?
  • Percentages ? they are set in a curve

9
How do we read the curve?
  • For the do now How many scores lie within one
    standard deviation of the mean?

10
Example
  • Matthew Lang is a professor at the University of
    Iona Medical School where he is the director of
    the sleep laboratory. The data below comes from
    the sleeping patterns of 100 random subjects over
    a twenty-four-hour period, document in his book
    Secrets of Sleep.
  • Find the mean of this data, to the nearest tenth.
  • Find the variance of this data, to the nearest
    tenth.
  • Find the standard deviation of this data, to the
    nearest tenth.
  • Sketch the curve showing the distribution of this
    data.
  • How many scores fall within one standard
    deviation above and below the mean?
  • What percentage of the scores fall within one
    standard deviation above or below the mean?
  • Compare the distribution cive for this data and
    the normal distribution. Is this sampling a
    normal distribution? Why or why not?

11
Summary
12
Aim How do we apply standard deviation to the
normal distribution curve?
  • HW3 Complete Worksheet
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