1. True or False: If P(A) is the probability that an event A
will occur, then 0< (or equal to) P(A) < (or equal to)
2.
2.True or False: If S represents the sample space of a random process, then P(S) =1
3. True or False: According toe the CLT, is a random variable X does not have a normal distribution in a population, the distribution of all sample means is approximately normal as long as the sample size is large enough.
4. True or False: The mean of the distribution of all sample means depends on the sample size.
5. True or False: For large sample sizes, the distribution of all sample means has a smaller spread than the population normal distribution.
6. True or False: If c represents a particular z-score and P(z>c) <0.5, then c is positive.
1. False . (0 ≤ P(A) ≤ 1 )
2. False . ( P(S)≠1 )
3. True (In central limit theorem (CLT) when independent random variables are added, their properly normalized sum tends toward a normal distribution (informally a bell curve) even if the original variables themselves are not normally distributed.
4. True. (sample mean =sum of samples/n)
5. True . ( The spread is smaller for larger samples, so the standard deviation of the sample means decreases as sample size increases.)
6. True.
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