Chapter 7

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Chapter 5

Hypothesis Tests With

Means of Samples

Part 2: Sept. 9, 2014

Estimating μ

• In estimating a population mean we have 2 options:

– 1) Point estimates give specific #

– Example:

– Accuracy of such a point estimate of the pop mean – ok, but not great

– Our sample may be unrepresentative, etc.

Estimating μ (cont.)

• 2) Interval estimates – provide range where you think pop mean may fall

– Ex) Given M=5.9 (which = μ

M)

σ

M)

, and std dev = .2 (which is

, and assuming a normal curve…

– We’d expect 34% of pop means to fall b/w 5.9 & 6.1

(+1 SD) and another 34% b/w 5.9 & 5.7 (-1 SD)

– 68% between 5.7 and 6.1  consider this a 68% confidence interval

• What does that mean?

95% Confidence Intervals

(analogous to alpha = .05)

• But 68% confident not that great…more interest in

95% or 99% confidence.

• Standard to use 95% or 99%

– Use normal curve table & find z score cutoffs for .05 significance level, 2-tailed test:

– Change these to raw scores for our example

• Using x = z( σ

M

) + M , what scores do you get?

• What is the final 95% confidence interval for this example and what does it mean?

99% Confidence Intervals

(analogous to alpha = .01)

• For 99% interval (2-tailed), find z score cutoffs in normal curve table:

• Change these to raw scores for our example

– x = z(σ

M

) + M, what do you get?

– What is the 99% confidence interval here? What does it mean?

Confidence Intervals (CI)

• Notice the wider interval for 99% compared to narrower interval for 95%

– Wider  more likely you’re right and you include the actual mean in that interval

1 vs. 2 tailed estimates

• Also note that we can calculate CIs for 1-tailed tests:

– You will still calculate 2 scores to give a range of confidence.

– What changes is the relevant z score…

– 95% CI for ‘crashed’ example:

• Z score cutoff will be 1.64, so use conversion formula:

• X = Z(σ

M

) + M and then x = -Z( σ

M

) + M , so…

• Resulting 1-tailed 95% CI is…

• Narrower or wider interval than 2-tailed 95% CI?

Cutoff Scores for CI’s

• As a shortcut, you may memorize or refer to these cutoff scores when computing CI’s – these will never change!

• Cutoff scores most often used:

– For a 95% CI, 1-tailed = 1.64 and –1.64

– 95% CI, 2-tailed = 1.96 and –1.96

– 99% CI, 1-tailed = 2.33 and –2.33

– 99% CI, 2-tailed = 2.57 and –2.57

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