Question
1. Parameters are? a.numerical characteristics of a population. b.the averages taken from a sample. c.numerical characteristics of either a sample or a population. d.numerical characteristics
1. Parameters are?
a.numerical characteristics of a population.
b.the averages taken from a sample.
c.numerical characteristics of either a sample or a population.
d.numerical characteristics of a sample.
2. How many simple random samples of size 3 can be selected from a population of size 9??
3. A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 70 and 24 respectively. The standard error of the mean is . . .(hint: enter the answer with one decimal place)
4.A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within 2 of the population mean?
a. 0.95
b.0.6826
c.Since the mean is not given, there is no answer to this question.
d.-0.4619
e.0.3313
f.0.6165
g. 0.4950
5.In computing the standard error of the mean, the finite population correction factor is used when..
a.n > N
b.n/N < 30
c.N/n > 0.05
d. n> 30
e.n/N > 0.05
f. N/n<0.05
6.As the sample size increases, the
a. standard error of the mean decreases.
b. standard deviation of the population decreases.
c. everyone falls asleep (a joke).
d. standard error of the mean increases.
e. population mean increases.
7. As the sample size becomes larger, the sampling distribution of the sample mean approaches a
a. poisson distribution
b. Binomial distribution.
c. kardashian distibution
d.Chi-Square Distribution
e. Hypergeometric Distribution
f. normal distribution
8. Whenever the POPULATION has a normal probability distribution, the sampling distribution of the SAMPLE MEAN is a normal probability distribution for?
a. All sample sizes.
b. Samples of 30 or greater
c. small sample sizes
d. large sample sizes
9. A simple random sample of 64 observations was taken from a large population. The sample mean and the standard deviation were determined to be 320 and 240 respectively. The standard error of the mean is
(hint: Enter number with one digit after the decimal point - such as 18.2 and 7.0)
10.
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