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Agr Educ 387 Data Analysis in Applied Sciences

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Title: Agr Educ 387 Data Analysis in Applied Sciences


1
Agr Educ 387Data Analysis in Applied Sciences
  • Dr. Jamie Cano, Instructor
  • Ms. Kristy Brewer, TA

May 17, 2004
2
Problem
  • During the 1998 Tour de France, some cyclist
    were expelled for attempting to enhance their
    performance by blood doping with EPO. An
    investigator wants to determine whether this type
    of blood doping increases the endurance of
    athletes under controlled laboratory conditions.

3
Two Independent Samples
  • Observations in one sample arent paired on a
    one-to-one basis with observations in the other
    sample.

4
Effect
  • Any difference between two population means

5
Possible Hypotheses
  • Non directional
  • Ho µ1 - µ2 0
  • H1 µ1 - µ2 ? 0
  • Directional, Lower tail critical
  • Ho µ1 - µ2 ? 0
  • H1 µ1 - µ2 lt 0
  • Directional, Upper tail critical
  • Ho µ1 - µ2 ? 0
  • H1 µ1 - µ2 gt 0

6
Specify Both the Null and Alternative Hypothesis
  • After randomly assigning children to two groups,
    a school psychologist wishes to determine whether
    there is a difference in the mean reading
    comprehension scores between the group that
    receives a special bilingual reading program and
    the group that receives a traditional reading
    program.
  • H0 ?1 - ?2 0 H1 ?1 - ?2 ? 0

7
  • On further reflection, the school psychologist
    decides that, because of the extra expense of the
    special bilingual reading program, she wishes to
    reject the null hypothesis only if there is
    evidence that reading comprehension scores are
    improved, on the average, by the special reading
    program.
  • H0 ?1 - ?2 ? 0 H1 ?1 - ?2 ? 0

8
Sampling Distribution of Sample Means
Differences ?1 -?2
  • Differences between sample means based on all
    possible pairs of random samples -- of given
    sizes -- from two underlying populations.

9
Standard Error of ?1 -?2
  • A rough measure of the average amount by which
    any difference between sample means deviates from
    the difference between population means.

10
t Ratio for Two Population Means(two independent
samples)
  • t

(x1 x2) (µ1 - µ2)hyp
Sx1 x2
df n1 n2 - 2
11
Confidence Interval for µ1 - µ2
  • A range of values that, in the long run,
    includes the unknown difference between
    population means for a certain percent of the
    time.

12
Pooled Variance Estimate sp2
  • The most accurate estimate of the population
    variance (assumed to be the same for both
    populations) based on a combination of two sample
    variances.
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