If z is a standard normal random variable, how does the area between z = 0.0 and
ID: 3221680 • Letter: I
Question
If z is a standard normal random variable, how does the area between z = 0.0 and z = 1.25 compare to the area between z = 1.25 and z = 2.5? (a) The latter area will be larger than the former. (b) The latter area will be smaller than the former. (c) The two areas are the same. (d) The latter area is half of the former. What is a numerical descriptive measure calculated from a sample called? (a) a parameter (b) a statistic (c) a population (d) a sampling distribution Why do those who engage in estimation insist on random sampling, rather than convenience sampling or judgment sampling? (a) because random sampling avoids the errors inherent in matched-pairs sampling (b) because random sampling avoids the errors inherent in work sampling (c) because random sampling eliminates the systematic error or bias that arises in nonrandom sampling (d) because random sampling is less expensive than convenience or judgment sampling What is the type of sample statistic that is used to make inferences about a given type of population parameter? (a) the estimator of that parameter (b) the confidence level of that parameter (c) the confidence interval of that parameter (d) the point estimate of that parameter Which of the following is a property of the sampling distribution of sample proportion p^? (a) An increase in the sample size n will result in an increase in the standard error of p^. (b) The mean of p^is different from the population proportion p. (c) The sampling distribution will be approximately normal provided that np > 5 and nq > 5. (d) For a fixed sample size n, the standard error of p^is minimal when p = 0.5.Explanation / Answer
Answer:
7). Area between z=0.0 and z=1.25 is 0.4944
b). the latter area will be smaller than the former.
8). . a statistic
9). c.. because random sampling eliminates the systematic error or bias that arises in nonrandom sampling.
10). C.. confidence interval of that parameter.
11).c.. The sampling distribution will be approximately normal provided that np > 5 and nq > 5.