Chapter 8 Binomial and
Chapter 9 Sampling
Chapter 10
Chapter 11
Chapter 12
100
What does PDF represent?
probability distribution function
100
What is a parameter?
The number that describes the population.
100
What are the cautions for confidence intervals?
1. data must be SRS and unbiased 2. beware outliers and/or strong skewness 3. results may not be accurate for small sample sizes from non-normal populations.
100
How do you find degrees of freedom?
n-1
100
what is p?
population proportion
200
What does CDF repressent?
cumulative distribution function.
200
What is a statistic?
A number that can be computed from the sample data without making use of any unknown parameters.
200
Most confidence intervals have the form:
estimate +/- margin of error
200
What shape is a t-distribution?
bell shaped
200
What is p-hat?
# of success in sample/# of observations in sample
300
What is the binomial coefficient?
The number of ways of arranging k successes among n observations.
300
What is the Central Limit Theorem?
Draw an SRS of size n from any population with a mean and standard deviation. When n is large, the sampling distribution of the sample mean is close to the normal distribution.
300
What are the two parts of a confidence interval?
1. Interval computed from sample data 2. Confidence level (c), probablility that the method used produces an interval containing true value of the parameter.
300
Are t procedures resistant or nonresistant?
nonresistant
300
What does p-hat represent?
sample proportion
400
The Binomial Setting must meet which four conditions?
1. Each observation falls into one of two categories, success or failure. 2. There is a fixed number of n observations. 3. The n observations are all independent. 4. The probability of success (p) is the same for each observation.
400
How do you cut standard deviation in half?
multiply sample size by 4
400
Margin of Error gets smaller when
1. z* gets smaller 2. sigma gets smaller 3. n increases
400
What is a matched pairs design?
subjects are matched up and each treatment is given to one subject in the pair. Each subject receives both treatments.
400
What are the assumptions for inference about a proportion?
1. Data represents SRS from population of interest 2. Population is at least 10 times as large as the sample 3. Sample size is large enough
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