Sampling Means
Sampling Proportions
Sampling Distributions
Statistic Acronyms
RANDOM
100
2 notations used for mean
What is x̅ and μ
100
number that describes the sample
What is statistic?
100
the distribution of values taken by the statistics in all possible samples of the same size from the same population
What is sampling distribution
100
shape, outliers, center, spread
What is SOCS
100
when working with a distribution be aware of what 2 things
What is bias or variability
200
checking if sampling size is approx. normal for means
What is n ≥ 30 by CLT
200
number that describes the population
What is parameter
200
identify the population, parameter, sample and statistic A pediatrician wants to know the 75th percentile for the distribution of heights of 10 year old boys, so she takes a sample of 50 patients and calculates Q3= 56 inches
What is population- 10 yr old boys parameter- 75th percentile sample- 50 patients statistic- 56 inches
200
what is the notation for population size
What is N
300
standard deviation formula for means
What is σ / √n
300
described by the spread of the sampling distribution
What is variability
300
The ________ of a statistic is a model of the values of the statistics from all possible samples of the same size from the same population
What is sampling model
300
what is the notation for sample size
What is n
400
noramalcdf(lowerbound,upperbound,μ,σ)
What is finding the probability on the calculator with the z-score
400
systematically favoring certain outcomes over others
What is bias
400
if i compare many different samples and that statistic is very different in each one, then the ______________ is high
What is sampling variability
400
B: there are two possible outcomes, success or failure I: each observation is independent N: there is a fixed # of trials S: the probability of success p is the same each trial
What is BINS (conditions for binomial setting)
400
2 notations used for proportions
What is p and p̂
500
Describe the Central Limit Theorem
What is draw an SRS of size n from any population whatsoever with mean, μ, and finite standard deviation, σ. When n is large, the sampling distribution of the sample mean, x̅, is close to the normal distribution N (μ, σ/√n) with mean, μ and the standard deviation σ/√n.
500
how do you describe a distribution
What is shape, outliers, center and spread
500
low bias and low varibality=
What is a good sampling distribution
500
B: there are two possible outcomes, success and failurego until the first success I: each trial is independent T: go until the first success S: the probability of success (p) is the same for each trial
What is BITS ( conditions for geometric setting)
500
square root of p(1-p)/n
What is standard deviation of the sampling distribution of p̂
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