Confidence Intervals

 
STATISTIK
 
LECTURE:
AL MUIZZUDDIN F., SE., ME.
Confidence Intervals
 
Confidence Intervals for the Mean
(Large Samples)
 
2
 
Next
 
In this chapter, you will learn an important
technique of statistical inference—to
 
use
sample statistics to estimate the value of an
unknown population parameter.
 
3
 
Next
 
In this section, you will learn how to use sample
statistics to make an estimate of
 
the population
parameter when the sample size is at least 30
or when the
 
population is normally distributed
and the standard deviation is known. To
 
make
such an inference, begin by finding a 
point
estimate.
 
4
 
5
A statistic is unbiased if it does not overestimate or
underestimate the population parameter.
 
6
 
Next
 
In Example 1, the probability that the
population mean is exactly 130.8 is
 
virtually
zero. So, instead of estimating to be exactly
130.8 using a point
 
estimate, you can estimate
that lies in an interval. This is called making an
interval estimate.
 
7
 
8
 
Before finding a margin of error for an interval estimate,
you should first
 
determine 
how confident 
you need to be
that your interval estimate contains the
 population mean
 
9
 
10
 
11
 
12
 
CONFIDENCE INTERVALS FOR THE
POPULATION MEAN
 
Using a point estimate and a margin of error,
you can construct an interval
 
estimate of a
population parameter
. 
This interval estimate is
called a
 
confidence interval
.
 
13
 
14
 
15
 
16
 
17
 
SAMPLE SIZE
 
For the same sample statistics, as the level of
confidence increases, the confidence
 
interval
widens. As the confidence interval widens, the
precision of the estimate
 
decreases.
One way to improve the precision of an estimate
without decreasing
 
the level of confidence is to
increase the sample size.
But how large a sample size
 
is needed to
guarantee a certain level of confidence for a
given margin of error?
 
18
 
19
 
20
 
Latihan Soal
 
Construct the 90% and 95% confidence
intervals for the population mean.
Interpret the results and compare the widths of
the confidence intervals.
 
21
 
Latihan Soal
 
1.
A random sample of 34 home theater systems
has a mean price of $452.80 and a standard
deviation of $85.50.
2.
From a random sample of 48 days in a recent
year, U.S. gasoline prices had a mean of $2.34
and a standard deviation of $0.32.
3.
A random sample of 31 eight-ounce servings of
different juice drinks has a mean of 99.3 calories
and a standard deviation of 41.5 calories.
 
22
 
Next, no.4
 
A machine cuts plastic into sheets that are 50
feet (600 inches) long.Assume that the
population of lengths is normally distributed.
The company wants to estimate the mean
length of the sheets within 0.125 inch.
Determine the minimum sample size required to
construct a 95% confidence interval for the
population mean. Assume the population
standard deviation is 0.25 inch.
 
23
 
Tugas
 
Kerjakan soal latihan case study: hal 317
Larson, 2012
Minggu depan dikumpulkan.
 
24
 
SELESAI
 
25
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Learn about confidence intervals for estimating population parameters using sample statistics. Understand the concept of point estimates, unbiased statistics, and making interval estimates with margin of error for population mean. Explore constructing confidence intervals and the importance of confidence levels.

  • Statistics
  • Confidence Intervals
  • Population Parameters
  • Statistical Inference
  • Sample Statistics

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  1. Confidence Intervals STATISTIK LECTURE: AL MUIZZUDDIN F., SE., ME.

  2. Confidence Intervals for the Mean (Large Samples) 2

  3. Next In this chapter, you will learn an important technique of statistical inference to use sample statistics to estimate the value of an unknown population parameter. 3

  4. Next In this section, you will learn how to use sample statistics to make an estimate of the population parameter when the sample size is at least 30 or when the population is normally distributed and the standard deviation is known. To make such an inference, begin by finding a point estimate. 4

  5. A statistic is unbiased if it does not overestimate or underestimate the population parameter. 5

  6. 6

  7. Next In Example 1, the probability that the population mean is exactly 130.8 is virtually zero. So, instead of estimating to be exactly 130.8 using a point estimate, you can estimate that lies in an interval. This is called making an interval estimate. 7

  8. Before finding a margin of error for an interval estimate, you should first determine how confident you need to be that your interval estimate contains the population mean 8

  9. 9

  10. 10

  11. 11

  12. 12

  13. CONFIDENCE INTERVALS FOR THE POPULATION MEAN Using a point estimate and a margin of error, you can construct an interval estimate of a population parameter. This interval estimate is called a confidence interval. 13

  14. 14

  15. 15

  16. 16

  17. 17

  18. SAMPLE SIZE For the same sample statistics, as the level of confidence increases, the confidence interval widens. As the confidence interval widens, the precision of the estimate decreases. One way to improve the precision of an estimate without decreasing the level of confidence is to increase the sample size. But how large a sample size is needed to guarantee a certain level of confidence for a given margin of error? 18

  19. 19

  20. 20

  21. Latihan Soal Construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. 21

  22. Latihan Soal 1. A random sample of 34 home theater systems has a mean price of $452.80 and a standard deviation of $85.50. 2. From a random sample of 48 days in a recent year, U.S. gasoline prices had a mean of $2.34 and a standard deviation of $0.32. 3. A random sample of 31 eight-ounce servings of different juice drinks has a mean of 99.3 calories and a standard deviation of 41.5 calories. 22

  23. Next, no.4 A machine cuts plastic into sheets that are 50 feet (600 inches) long.Assume that the population of lengths is normally distributed. The company wants to estimate the mean length of the sheets within 0.125 inch. Determine the minimum sample size required to construct a 95% confidence interval for the population mean. Assume the population standard deviation is 0.25 inch. 23

  24. Tugas Kerjakan soal latihan case study: hal 317 Larson, 2012 Minggu depan dikumpulkan. 24

  25. SELESAI 25

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