The area under the curve must add up to one for a. all density functions. b. just one density...

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Statistics

The area under the curve must add up to one for
a.
all density functions.
b.
just one density function.
c.
no density function.
d.
a special group of density functions.
3 points Â Â
QUESTION 2
If the mean of a normal distribution is negative,
a.
the variance must also be negative.
b.
the standard deviation must also be negative.
c.
a mistake has been made in the computations, because the mean ofa normal distribution can not be negative.
d.
Standard deviation can be any number but it must bepositive.
3 points Â Â
QUESTION 3
For a normal distribution, a negative value of Z indicates
a.
a mistake has been made in computations, because z is alwayspositive.
b.
the area corresponding to the z is negative.
c.
the z is to the right of the mean.
d.
a value that is below the mean.
3 points Â Â
QUESTION 4
The probability density function refers to:
a.
probability function for a discrete random variable.
b.
probability function for a continuous random variable.
c.
probability function for either a discrete or a continuousrandom variable.
d.
not enough information

Answer & Explanation Solved by verified expert

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1 To be a probability density function the necessary conditionis that the area under the curve must add up to onea All density functions2 The mean of a normal distribution can be negative See Answer

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	a.	all density functions.
	b.	just one density function.
	c.	no density function.
	d.	a special group of density functions.

	a.	the variance must also be negative.
	b.	the standard deviation must also be negative.
	c.	a mistake has been made in the computations, because the mean ofa normal distribution can not be negative.
	d.	Standard deviation can be any number but it must bepositive.

	a.	a mistake has been made in computations, because z is alwayspositive.
	b.	the area corresponding to the z is negative.
	c.	the z is to the right of the mean.
	d.	a value that is below the mean.

	a.	probability function for a discrete random variable.
	b.	probability function for a continuous random variable.
	c.	probability function for either a discrete or a continuousrandom variable.
	d.	not enough information