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41 Cards in this Set

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  • Back
What is the random variable of the sampling distribution of x ?
the sample mean
True or False, the proportion in a survey that favor a certain opinion is a parameter
False
The Central Limit Theorem allows us to compute probabilities on
X-bar
True or False, a sampling distribution has shape, center spread and correlation.
False, it doesn't have correlation
True or False, the standard deviation of the sampling distribution for the statistic measures the variability of a statistic
True
True or False, A theoretical sampling distribution of a statistic consists of the values of a statistic from all possible samples.
True
If the population is left-skewed and you take a sample of 16, then what is the shape of your sample?
slightly left skewed
What is a distribution of a random variable?
A list of the possible values of a variable together with how often each value occurs.
If the population is normally distributed, do you need to apply the Central Limit Theorem?
No
What are the upper and lower limits?
Three Standard Deviations above and below the mean
The probability of an event can be defined as
the fraction of time the event will occur if the random phenomenon is repeated many times.
The Central Limit Theorem tells us that under certain conditions
the shape of the sampling distribution of x will be approximately Normal.
Mew is a statistic, true or false?
False
P-hat is a statistic, true or false?
True
The Standard Deviation for a Sampling Distribution is greater than the SD of the Pop.
False
When does the Central Limit Theorem apply?
When the sample is large and random
the standard deviation of x-bar increases/decreases as n increases?
decreases
If the conditional distribution in every row (or every column) equals the corresponding
marginal distribution then there is association, true or false?
True
The least squares regression line is the line for which the sum of the squared residuals is minimized.
True
Which is the purpose of a residual plot?
to check for problems with the fit of its corresponding linear regression equation.
The vertical distance from a point to the regression line is called...
The residual
Increasing variation in the y’s as x increases creates what type of scatterplot image?
A megaphone
A correlation of r = 0 indicates that
x and y are not linearly related.
Correlation coefficient, r, should only be calculated when
two variables, x and y, are quantitative and their relationship is linear.
What is the symbol for the mean of the sampling distribution of x-bar?
μ
What is the symbol for the standard deviation of the sampling
distribution of x-bar?
Sigma divided by the square root of n
What is the symbol for the standard deviation of data in a sample?
s
What is the symbol for the mean of a sample?
x-bar
What is the symbol for the Z-score formula for standardizing an
observation on an individual?
Z=x-μ/sigma
Mean of a population
μ
Standard deviation of a population
Sigma
Z-score formula for standardizing an observed
sample mean
same as for pop. except you use x-bar up top and sigma over square root of n down low
True or False, Scatterplots can be used to assess the strength of association for the variables of a two-way table?
True
True or False, The value of a sample statistic usually equals the value of the parameter of the population from
which the sample was taken?
True
True or False, A residual plot magnifies problems that can also be seen in a scatterplot?
False
A statistic varies because each random sample yields a different value for the statistic
True
True or False, The shape of the histogram of sample data gets closer to the shape of the population as the sample size increases?
True
The mean of x-bar gets closer to mew as n increases?
False its already the same
True or False, The standard deviation of x (for n > 1) is always less than the standard deviation of the population?
True
True or False, Probabilities on individuals can only be computed using the standard Normal table if the
population is Normally distributed?
True
True or False, x-bar gets closer and closer to mew as n increases.
True