20 questions
Population Mean
Mean of the Sampling Distribution of X-bar
Sample Mean
Proportion
Select the correct description
Standard Deviation of the Sampling Distribution of Sample Means
Standard Deviation
Population Standard Deviation
Sample Standard Deviation
Select the correct description
Average Percent
Population Proportion
Sample Proportion
Percent Slope of a Distribution
Select the correct description
Population Mean
Proportion
Sample Mean
Population Median
P
Probability of the event
Population proportion
Sample Proportion
Percent of Failure
Sigma of P-Hat
Population Standard Deviation
Standard Deviation of the Sampling Distribution of Sample Means
Sample Percents of the Standard Deviation
Standard Deviation of the Sampling Distribution of Sample Proportions
Select the correct description
Population Mean
Averages
Mean of the Sampling Distribution of X-bar
Sample Mean
n
Distribution Shape
Sample Size
Sample Mean
Population Size
N
Distribution Shape
Sample Size
Sample Mean
Population Size
Select the correct description
Standard Deviation
Population Spread
Sample Standard Deviation
Population Standard Deviation
Select the correct description
Mean of the Sampling Distribution of p-hat
Population Mean
Percents of Means
Proportions
Select the correct description
Sample Range
Sample Standard Deviation
Spread of a Sample
Population Standard Deviation
What does this formula do?
Calculates Standard Deviation
Checks if the samples are independent
Checks Normality
Calculates Probabilitie
What does the 10% condition do
Calculates Standard Deviation
Checks if the samples are independent
Checks Normality
Calculates Probabilities
What does this formula do?
Calculates Standard Deviation
Checks if the samples are independent
Checks Normality
Calculates Probabilities
What does this formula do?
Calculates Standard Deviation for Sampling Dist. of Sample Means
Checks if the samples are independent
Checks Normality
Calculates Standard Deviation for Sampling Dist. of Sample Proportions
Which two factors prove that the sampling distribution of X-bar is approximately normal?
n(p) >= 10 and n(1-p) >=10
the population is stated as approximately normal
n is greater than or equal to 30
the population is stated as symmetric
Which best describes the sampling distribution shown below.
Unbiased Estimator
Biased Estimator
Which best describes the sampling distribution shown below.
Unbiased Estimator
Biased Estimator
A statistic is an unbiased estimator of a parameter when
in many samples, the values of the statistic are centered at the parameter
in many samples, the values of the statistic are close to the parameter
the statistic is calculated from a random sample.
in a single sample, the value of the statistic is equal to the parameter