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MQM FINAL
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Terms in this set (29)
The sampling distribution is the probability distribution of a ( ch 7)
sample statistic
An error that occurs because of human mistakes is called a ( ch 7)
nonsampling error
The mean of the sampling distribution of the sample mean is ( ch 7)
always equal to the population mean
If n / N is less than .05, the standard deviation (sigma xbar) of the sampling distribution of the sample mean (xbar) is qual to the population standard deviation ( ch 7)
divided by the square root of the sample size
The standard deviation of the sampling distribution of the sample mean for a sample size of n drawn from a population with a mean of m and a standard deviation of s is ( ch 7)
s / (square root of n)
A continuous random variable x has a right-skewed distribution with a mean of 84 and a standard deviation of 14. The sampling distribution of the sample mean for a sample of 60 elements taken from this population is ( ch 7)
approximately normal
The standard deviation of the sampling distribution of the sample proportion is equal to ( ch 7)
square root of (pq) / n
In the case of a proportion, the sample size is large if (ch 7)
np and nq are both greater than 5
The values assigned to a population parameter based on the values(s) of a sample statistics are ( ch 8)
estimate (s)
The single value of a sample statistic that we assign to the population parameter is a ( ch 8)
point estimate
For most distributions, we can use the normal distribution to make a confidence interval for a population mean provided that the population standard deviation s is known and the sample size is (ch 8)
greater than or equal to 30
The margin of error for the population mean, assuming s is known, is (ch 8)
z multiplied by the standard deviation of the sample mean
When meaning a confidence interval for the population mean using the t procedures, the degrees of freedom for the t distribution are (ch 8)
n-1
In a one-tailed hypothesis test, a critical point is a point that divides the area under the sampling distribution of a : (ch 9)
statistic into one rejection region and one nonrejection region
A two-tailed hypothesis test contains (ch 9)
two rejection regions and one nonrejection region
For a one-tailed test, the p-value is (ch 9)
the are under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis
Which of the following statements as Type II error in hypothesis testing? (ch 9)
A statistician determines, through hypothesis testing, that the mean number of televisions per household in a certain community is 1.4, when it is actually greater than 1.4
Two samples drawn from two populations are independent if (ch 10)
the selection of one sample from one population does not affect the selection of the second sample from the second population
A linear regression (ch 13)
gives a relationship between two variables that can be described by a line.
In a regression model, the slope represents the (ch 13)
change in y due to a one unit change in x.
In the equation , y=12 + 6x , 12 is the (ch 13)
y-intercept
In the regression model , y= A+ BX+ e, x is the
independent variable
In the regression model , y (hat) = a +bx, a and b are the
estimates of the population parameters, A and B.
A perfect positive correlation means
the points in a scatter diagram lie on an upward sloping line.
The value of the correlation coefficient is zero if the points in a scatter diagram
are scattered all over the diagram.
We construct a scatter diagram by
plotting the paired values of x and y.
The value of y obtained for an element from a survey is the
actual value of y
The least squares method minimizes the
sum of the squares of errors.
A simple regression model contains
one independent and one dependent variable.
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