Chapter 9 Flashcards
The statistic, computed from sample information, that estimates a population parameter
Point estimate
A range of values constructed from sample data so that the population parameter is likely to occur within that range at a specified probability. The specified probability is called the level of confidence
Confidence interval
The central limit theorem allows us to make these two general confidences interval statements using z-statistics
- 95% of all confidence intervals computed from random samples selected from a population will contain the population mean. These z-values are computed using a z-statistic equal to 1.96
- Ninety percent of all confidence intervals computed from random samples selected from a population will contain the population mean. These confidence intervals are computed using a z-statistic equal to 1.65
How do you determine a 95% or 90% confidence level
xbar + or - 1.96 or 1.65 times sigma/square root of the sample size
What is the formula for confidence interval when the population mean is known
xbar + or - z(sigma/square root of sample size)
What are 4 characteristics to the t-distribution
- Like the z distribution, it is continuous
- Bell shaped and symmetrical
- There are four t-distributions for different sample sizes
- T-distributions are more spread out and flatter
3 steps to determine the confidence interval for the population mean with an unknown population
- Assume the sampled population is normal or approximately normal
- Estimate the population standard deviation with the sample standard deviation
- Use the t-distribution rather than the z-distribution
The fraction, ratio, or percent indicating the part of the sample or the population having a particular trait of interest
proportion
Formula for sample proportion when x is the number of successes and n is the number of sampled
p=x/n
What two items are needed to develop confidence intervals for a proportion
- Binomial conditions need to be met
- The values nΠ should both be greater than or equal to 5
The margin of error adjustment needed for finite population
finite-population adjustment
Square root of N-n/N-1
Name 3 factors to consider when deciding sample size
- The margin of error the researcher will tolerate
- The level of confidence desired
- The variation or dispersion of the population
3 ways to estimate population standard deviation
- conduct a pilot study
- use a comparable study
- Use a range-based approach
Sample size formula for estimating the population mean
n=(z*sigma/E)