Chapter 9 Flashcards

1
Q

The statistic, computed from sample information, that estimates a population parameter

A

Point estimate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

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

A

Confidence interval

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

The central limit theorem allows us to make these two general confidences interval statements using z-statistics

A
  1. 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
  2. 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 well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

How do you determine a 95% or 90% confidence level

A

xbar + or - 1.96 or 1.65 times sigma/square root of the sample size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the formula for confidence interval when the population mean is known

A

xbar + or - z(sigma/square root of sample size)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are 4 characteristics to the t-distribution

A
  1. Like the z distribution, it is continuous
  2. Bell shaped and symmetrical
  3. There are four t-distributions for different sample sizes
  4. T-distributions are more spread out and flatter
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

3 steps to determine the confidence interval for the population mean with an unknown population

A
  1. Assume the sampled population is normal or approximately normal
  2. Estimate the population standard deviation with the sample standard deviation
  3. Use the t-distribution rather than the z-distribution
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

The fraction, ratio, or percent indicating the part of the sample or the population having a particular trait of interest

A

proportion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Formula for sample proportion when x is the number of successes and n is the number of sampled

A

p=x/n

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What two items are needed to develop confidence intervals for a proportion

A
  1. Binomial conditions need to be met
  2. The values nΠ should both be greater than or equal to 5
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

The margin of error adjustment needed for finite population

A

finite-population adjustment
Square root of N-n/N-1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Name 3 factors to consider when deciding sample size

A
  1. The margin of error the researcher will tolerate
  2. The level of confidence desired
  3. The variation or dispersion of the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

3 ways to estimate population standard deviation

A
  1. conduct a pilot study
  2. use a comparable study
  3. Use a range-based approach
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Sample size formula for estimating the population mean

A

n=(z*sigma/E)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly