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Confidence Intervals

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Title: Confidence Intervals


1
Confidence Intervals
  • Week 10
  • Chapter 6.1, 6.2

2
What is this unit all about?
  • Have you ever estimated something and tossed in a
    give or take a few after it?
  • Maybe you told a person a range in which you
    believe a certain value fell into.
  • Have you ever see a survey or poll done, and at
    the end it says /- 5 points.
  • These are all examples of where we are going in
    this section.

3
Chapter 6.1 - disclaimer
  • To make this unit as painless as possible, I will
    show the formula but will teach this unit with
    the use of the TI 83 graphing calculator
    whenever possible.
  • It is not always possible to use the TI-83 for
    every problem.
  • You can also follow along in Chp. 6.1 in the TEXT
    and use their examples in the book to learn how
    to do them by hand.

4
What is a Confidence Interval?
  • If I were to do a study or a survey, but could
    not survey the entire population, I would do it
    by sampling.
  • The larger the sample, the closer the results
    will be to the actual population.
  • A confidence interval is a point of estimate
    (mean of my sample) plus or minus the margin of
    error.

5
What will we need to do these?
  • Point of estimate mean of the random sample
    used to do the study.
  • Confidence Level percentage of accuracy we need
    to have to do our study.
  • Critical two-tailed Z value - (z-score) using
    table IV.
  • Margin of Error a formula used involving the Z
    value and the sample size.

6
Formula for Confidence Intervals
  • This formula is to be used when the Mean and
    Standard Deviation are known

7
Finding a Critical Z-value
  • (Ex 1) Find the critical two-tailed z value for
    a 90 confidence level
  • This means there is 5 on each tail of the
    curve, the area under the curve in the middle is
    90. Do Z (1-.05) Z .9500
  • We will be finding the z score to the left of
    .9500 in table IV. It lands in-between
    .9495-.9505, thus it is /- 1.645
  • (this is the 5 on each end)

8
Finding a Critical Z-value
(Ex 2) Find the critical two-tailed z value for
a 95 confidence level This means there is
2.5 on each tail of the curve, the area under
the curve in the middle is 95. Do Z (1-.025) Z
.9750 We will be finding the z score to the left
of .9750 in table IV. It is /- 1.96 (this
is the 2.5 on each end)
9
Finding a Critical Z-value
(Ex 3) Find the critical two-tailed z value for
a 99 confidence level This means there is
.005 on each tail of the curve, the area under
the curve in the middle is 99. Do Z (1-.005) Z
.9950 We will be finding the z score to the left
of .9950 in table IV. It is /- 2.575
(this is the .005 on each end)
10
Finding a Critical Z-value
(Ex 4) Find the critical two-tailed z value for
a 85 confidence level
11
Margin of Error
  • The confidence interval is the sample mean, plus
    or minus the margin of error.

12
Find the MoE
  • Ex (5) After performing a survey from a sample
    of 50 mall customers, the results had a standard
    deviation of 12. Find the MoE for a 95
    confidence level.

13
Special features of Confidence Intervals
  • As the level of confidence () goes up, the
    margin of error also goes up!
  • As you increase the sample size, the margin of
    error goes down.
  • To reduce the margin of error, reduce the
    confidence level and/or increase the sample size.
  • If you were able to include the ENTIRE
    population, the would not be a margin of error.
  • The magic number is 30 samples to be considered
    an adequate sample size.

14
Finding Confidence Intervals
  • (Ex 6) After sampling 30 Statistics students at
    NCCC, Bob found a point estimate of an 81 on
    Test 3, with a standard deviation of 8.2. He
    wishes to construct a 90 confidence interval for
    this data.

15
How did we get that?
16
Using TI-83 to do this
  • Click STAT
  • go over to TESTS
  • Click ZInterval
  • Using the stats feature, input S.D., Mean, sample
    size, and confidence level.
  • arrow down, and click enter on calculate.

17
Finding Confidence Intervals
  • (Ex 7) After sampling 100 cars on the I-90, Joe
    found a point estimate speed 61 mph and a
    standard deviation of 7.2 mph. He wishes to
    construct a 99 confidence interval for this
    data.

18
Finding an appropriate sample size
  • This will be used to achieve a specific
    confidence level for your study.

19
Find a sample size
  • (Ex 8) Bob wants to get a more accurate idea of
    the average on Stats Test 3 of all NCCC stats
    class students . How large of a sample will he
    need to be within 2 percentage points (margin of
    error), at a 95 confidence level, assuming we
    know the s 9.4?

20
How did we get this?
21
Finish Bobs Study
  • Ex (9) - Now lets say Bob wants to perform his
    study, finds the point of estimate for Test 3
    83, with a SD of 9.4 and confidence level of 95.
    Find the confidence interval for this study.

22
What about an interval found with a small sample
size? (chp 6.2)
  • To do these problems we will need
  • TABLE 5 t-Distribution.
  • Determine from the problem n, x, s.
  • Sample, mean, sample standard deviation.
  • Use the MoE formula for small samples

t-value from Table 5
d.f. n-1 (degrees of freedom)
23
Small Sample Confidence Int.
  • (Ex 10) Trying to determine the class average
    for Test 3, Janet asks 5 students their grade
    on the test. She found a mean of 78 with a s
    7.6. Construct a confidence interval for her data
    at a 90 confidence level.

24
What did we do?
d.f. 5-1 4 .90 Lc 2.132
25
Or with TI-83/84
  • STAT
  • TESTS
  • 8TInterval
  • Stats
  • Input each value, hit calculate.
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