Chapter 8 Flashcards
Confidence Interval for the Mean (σ known)
This is essentially a “known probability” (which is for a population) but for a sample.
i.e. you’re substituting x̄ for µ
Confidence Interval for the Mean (σ unknown)
where
tα/2 is the critical value corresponding to an upper-tail probability of α/2 from the t distribution with n - 1 degrees of freedom
Level of Confidence
is symbolized by (1 - α) * 100%, where
α is the proportion in the tails of the distribution that is outside the confidence interval
Student’s t distribution
t = x̄ - µ ÷ (S / sqrt-n)
If the variable X is normally distributed, the the following statistic has a t distribution with n - 1 degrees of freedom
Standard Confidence Intervals
90%
95%
99%
90% = .95 & .05
95% = .975 & .025
99% = .995 & .005
Confidence Interval Estimate for the Proportion
where
p = sample proportion = X/n
π = population proportion
Zα/2 = critical value from the standardized normal distribution
n = sample size
Sample Size Determination for the Mean
To compute the Sample Size, you must know three quantities:
- The desired confidence level, which determines the value of Zα/2, the critical value from the standardized normal distribution
- The acceptable sampling error, e
- The standard deviation, σ
Sampling error e
Backing into σ for confidence intervals
if you assume a normal distribution, the range is approximately equal to 6σ (± 3σ) so that you estimate σ as the range divided by 6
Sample Size Determination for the Proportion
To determine the sample size needed for estimating the population mean
Developing the sample size for a confidence interval for the mean, the sampling error is defined by
- e* = Zα/2*σ/sqrt-n
- When estimating a proportion, you replace* σ with sqrt-π(1-π), thus the sampling error is
- e* = Zα/2*sqrt[(π(1-π)/n]
which leads to…
Values for π and π(1-π)
When π = 0.9, then π(1-π) = (0.9)(0.1) = 0.09
When π = 0.7, then π(1-π) = (0.7)(0.3) = 0.21
When π = 0.5, then π(1-π) = (0.5)(0.5) = 0.25
When π = 0.3, then π(1-π) = (0.3)(0.7) = 0.21
When π = 0.1, then π(1-π) = (0.1)(0.9) = 0.09
Confidence Interval Estimate of the Mean
(1- α)*100%
99% confidence interval would be
(1 - α)*100% = 99% > (1 - α) = .99 > 1 - .01 = α > α = .01
Find 1 - α/2 to get the area under the curve for 99%
then find Zα/2 = Z0.005 >
Degrees of Freedom
n - 1
Standard Error
σ / sqrt-n