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16 Cards in this Set

  • Front
  • Back
The central limit theorem is important in the study of statistics because it allows us to,
Calculate probabilities using the distribution of the sample mean for any shaped population, so long as n>30
T/F:
If a mode does exist in a data set, then the mode of the discrete random variable is one of the outcomes
True
T/F:
The mean of a discrete random variable must be an outcome
False - The mean is just the weighted average of all values
T/F: Discrete random variables can take on an infinite number of values
False. They can only take on a finite number of values
T/F: The standard deviation of a discrete random variable must be an outcome
False. Only depects the spread of the outcomes
The Central limit theorem states that for a discrete random variable, as the sample size is increased, the average of the observed values should steadily approach what value?
The true mean. The center stays the same, but the spread (stdev) decreases
The central limit theorem describes the ______ distribution of _______ in all samples of the same size from the same population.

a) sampling; parameters
b) population; parameters
c) sampling; statistics
d) population; statistics
e) sample; parameters
C) Sampling; statistics.
What affects the mean of the sampling distribution of the sample mean?
The population mean
Is the number of books in a student's dorm a continuous random variable?
No - it is a discrete (countable) random variable
______ uses sample evidence to validate or invalidate a claim regarding a population
Hypothesis testing
A set of data values observed at successive points in time is known as,
Time series
One of more data values observed at a fixed time is known as,
cross sectional
When computing the stdev of the sample mean, the finite population correction factor is used when,
The sampel is selected without replacement and the sample size is greater than 5% of the population
The central limit theorem is a statistical/mathematical theorem used to describe,
the distribution of the sample mean
Suppose we wish to estimate a population value but we have no claim as to what we believe that population value to be. Under these circumstances, we would use what statistical methodology?
Estimation
what affects the standard deviation of the sampling distribution of the sample mean?
n (sample size) and stdev of population