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The probability that the sample mean

The probability that the sample mean 


1.	A population has a mean of 180 and a standard deviation of 24.  A sample of 64 observations will be taken.  The probability that the sample mean will be between 183 and 186 is

	a.	0.1359
	b.	0.8185
	c.	0.3413
	d.	0.4772
	e.	None of the above answers is correct.
	
2.	Random samples of size 525 are taken from an infinite population whose population proportion is 0.3.  The standard deviation of the sample proportions (i.e., the standard error of the proportion) is

	a.	0.0004
	b.	0.2100
	c.	0.3000
	d.	0.0200
	e.	None of the above answers is correct.
	
3.	A sample of 400 observations will be taken from an infinite population.  The population proportion equals 0.8.  The probability that the sample proportion will be greater than 0.83 is

	a.	0.4332
	b.	0.9332
	c.	0.0668
	d.	0.5668
	e.	None of the above answers is correct.
	
4.	A random sample of 121 bottles of cologne showed an average content of 4 ounces.  It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces.  The standard error of the mean equals

	a.	0.3636
	b.	0.0331
	c.	0.0200
	d.	4.000
	e.	None of the above answers is correct.

5.	A random sample of 121 bottles of cologne showed an average content of 4 ounces.  It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces.  The point estimate of the mean content of the bottles is

	a.	0.22
	b.	4
	c.	121
	d.	0.02
	e.	None of the above answers is correct.



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16 Apr 2016

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  1. Genius

    The probability that the sample mean

    The probability that the sample mean The probability that the samp ****** ******
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