True or false? The value zc is a value from the standard normal distribution such that P(−zc < z < zc) = c. True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc. False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc. True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc. False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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1. True or false? The value zc is a value from the standard normal distribution such that P(−zc < z < zc) = c.

True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc.

False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc.

True. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls between −zc and zc.

False. By definition, critical values zc are such that 100c% of the area under the standard normal curve falls in the tails, to the left of −zc and to the right of zc.

2. True or false? The point estimate for the population mean μ of an x distribution is , computed from a random sample of the x distribution.

True. The mean of the  distribution equals the mean of the x distribution and the standard error of the  distribution decreases as n increases.
 
False. The mean of the  distribution does not equal the mean of the x distribution and the standard error of the  distribution decreases as n increases.    
 
True. The mean of the  distribution equals the mean of the x distribution and the standard error of the  distribution increases as n increases.
 
False. The mean of the  distribution does not equal the mean of the x distribution and the standard error of the distribution increases as n increases.
 
3. Sam computed a 90% confidence interval for μ from a specific random sample of size n. He claims that at the 90% confidence level, his confidence interval contains μ. Is this claim correct? Explain.

Yes. 90% of all confidence intervals will contain μ.
 
No. The probability that this interval contains μ is either 0 or 1.    
 
No. The proportion of all confidence intervals based on random samples of size n that contain μ is 0.10.
 
Yes. The proportion of all confidence intervals based on random samples of size n that contain μ is 0.90.
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