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An Apple A Day

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1 faculty member receives mostly apple items from students ... Pie Chart On Sample Data. Box and Whisker Plot. Frequency Distribution. 0. 15. 13. 12-14 ... – PowerPoint PPT presentation

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Title: An Apple A Day


1
An Apple A Day
  • Amy Harpenau
  • Heather Brown
  • Nikki Beneigh
  • Jason Allen

2
Population
  • A population is the collection of all outcomes,
    responses, measurements, or counts that are of
    interest.
  • Our population is the FCHS faculty (that
    responded to our survey).

3
Sample Size
  • A sample is a subset of the population.
  • Our sample size is 16

Type of Sample
  • Systematic Sample - sample in which each member
    of the population is assigned a number. The
    members of the population are ordered in some
    way, a starting number is randomly selected, and
    then sample members are selected at regular
    intervals from the starting number.

4
Type of Sample cont.
  • We arranged them in ascending order, started with
    the second survey, and selected every other
    survey from that point forward.
  • This is our sample
  • 0, 0, 0, 0, 0, 1, 1, 2, 2, 2, 2, 3, 3, 5, 10, 210
  • Mean 13.73
  • Median 2
  • Mode 0

5
Qualitative Data
  • Qualitative data consists of attributes, labels,
    or nonnumerical entries.
  • We asked FCHS faculty the following questions.
  • Are the majority of the gifts you receive from
    students apple items?
  • Do you collect apples or just accumulate them?

6
Results
  • Question 1
  • 1 faculty member receives mostly apple items
    from students
  • 15 faculty members said that the majority of
    their gifts from students were not apple items.
  • Question 2
  • 1 teacher collects apples items
  • 6 teachers accumulate their apple items
  • 8 teachers do not collect or accumulate apples
  • 1 teacher collects and accumulates apples

7
Quantitative Data
  • Quantitative data consists of numerical
    measurements or counts.
  • We asked FCHS faculty the following question
  • How many apple items do you own?

8
Results
  • 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2,
    2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 5, 5, 5, 6, 10, 20,
    210

Population Mean 9.09 Population Median
2 Population Mode 0
9
Level of Measurement
  • Qualitative Data Nominal
  • Data at the nominal level of measurement are
    qualitative only. Data at this level are
    categorized using names, labels, or qualities.
    No mathematical computations can be made at this
    level.
  • Quantitative Data Interval
  • Data at the interval level of measurement are
    quantitative. The data can be ordered and you
    can calculate meaningful differences between data
    entries. Zero is counted as a data entry.

10
Calculating An Outlier
  • An outlier is mathematically defined as a piece
    of data with a z-score greater than 3.5 or less
    than -3.5.
  • The sample mean is subtracted from the selected
    data piece. Then the answer is divided by the
    standard deviation of the sample to determine its
    z-score.
  • (210 13.73) / 49.04 4.00
  • 4.00 gt 3.5

11
Outliers
  • You can observe from our data set that there is 1
    piece of extraneous data.
  • 210
  • This piece of data is an outlier and will be
    thrown out.
  • (An outlier is a piece of data that is far
    removed from the data set)

12
Standard Normal Distribution
13
Pie Chart On Sample Data
14
  • Box and Whisker Plot

15
Frequency Distribution
16
Frequency
17
Relative Frequency
18
Probability
  • The probability of a teacher within our sample
    having exactly 0 apples is 33 (5/15)
  • The probability of a teacher within our sample
    having exactly 1 apple is 13 (2/15)
  • The probability of a teacher within our sample
    having more than 1 apple is 53 (8/15)

19
Hypothesis Testing
  • Claim A randomly selected teacher from the
    sample will have at least one apple.
  • Ho 1
  • Ha lt 1
  • Left tailed
  • (derived from alternative hypothesis)
  • Claim

20
Hypothesis Testing Cont.
  • Sample n 15
  • Degree of Freedom 15 1 14
  • t - 1.761
  • X 2.07
  • ? .05
  • ? 2.48

21
Hypothesis Testing Cont.
(2.07 1) / (2.48/v(15)) 1.67
z-score p-value of the z-score .9415 If p is
greater than ?, we fail to reject the null. Since
.9415 is greater than .05 we have to fail to
reject the null which is the claim.
  • The claim or null hypothesis is statistically
    correct.

22
In conclusion
  • Contrary to popular belief, teachers dont
    frequently collect or receive apples from their
    students.
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