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15 questions
A numerical description of a population characteristic.
Parameter
People
Statistics
Data
A numerical description of a sample characteristic
Statistic
Statistics
Parameter
Data
Is the following a parameter or statistic:
In a survey of a sample of high school students, 43% said that their mother has taught them the most about managing money.
parameter
statistic
Is the following a parameter or statistic?
The average annual salary for 35 of a company's 1200 accountants is $68,000.
parameter
statistic
Is the following a parameter or statistic?
In a recent year, the average math scores for all graduates on the ACT was 21.1.
parameter
statistic
Select the correct description
Population Mean
Mean of the Sampling Distribution of X-bar
Sample Mean
Proportion
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
Select the correct description
Probability of the event
Population proportion
Sample Proportion
Percent of Failure
Select the correct description
Standard Deviation
Population Spread
Sample Standard Deviation
Population Standard Deviation
Select the correct description
Sample Range
Sample Standard Deviation
Spread of a Sample
Population Standard Deviation
The fact that the value of a statistic varies from one sample to the next is called ___________________
differences
sampling variability
statistical sample rates
normal
The ______________ of a statistic is the distribution of values taken by the statistic in all possible samples of the same size from the same population.
sampling distribution
bias
population distribution
variation
If the mean of the sampling distribution of a statistic is the same as the population parameter in question, the statistic is said to be
independent
dependent
biased
unbiased
Which of the following descriptions best describes the data on the given target display?
low bias/high variability
low bias/low variability
high bias/low variability
high bias/high variability
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