QUESTION 1 A good estimator should be ___________ and ____________. biased, effi
ID: 3061974 • Letter: Q
Question
QUESTION 1
A good estimator should be ___________ and ____________.
biased, efficient
biased, evasive
unbiased, inefficient
unbiased, efficient
1 points
QUESTION 2
The larger the sample size, the _________________ the confidence interval.
smaller
wider
more continuous
greater
1 points
QUESTION 3
For a hypothesis test of a single sample mean, which of the below is not one of the assumptions.
random sampling
interval-ratio level of measurement
normally distributed sampling distribution
normally distributed sample statistic
1 points
QUESTION 4
The main point in one-sample hypothesis testing is to _______________.
determine if there is more than one sample
determine if the sample is taken from the population
determine if one sample is large enough to estimate the population value
determine the sample size necessary to estimate the population
1 points
QUESTION 5
The standard error of the mean is the ________________.
center of the sampling distribution
standard deviation of the sampling distribution
standard deviation of the population
skew of the sampling distribution
1 points
QUESTION 6
The critical region is _________________.
the area between the mean and the obtained value
the area between the mean and the critical value
the area beyond the critical value
the area given in Appendix B
1 points
QUESTION 7
The statement in which you say there is a difference between the sample and the population is called the __________________________.
null hypothesis
research hypothesis
assumptions statement
critical region
1 points
QUESTION 8
The statement in which you say there is "no difference" between the sample and the population is called the ___________________________.
null hypothesis
research hypothesis
assumptions statement
critical region
1 points
QUESTION 9
As a sample size increases, the spread of the sampling distribution _________________.
decreases
increases
stays the same
increases to some point and then decreases
1 points
QUESTION 10
The probability of failing to reject a null hypothesis that is, in fact, false, is a ___________________.
type I, or alpha error
type II, or beta error
critical value
critical region
1 points
QUESTION 11
In order to test for significance between the two populations, we assume ____________.
simple random samples
independent random samples
sampling distribution to be random
sampling distribution to be positive
1 points
QUESTION 12
Parameters are _______________.
statistical methods of inferential statistics
the distance between descriptive and inferential statistics
sampling techniques for inferential statistics
population characteristics
1 points
QUESTION 13
To find the Z score comparing a sample mean to the hypothesized population mean, use the formula ____________________________.
1 points
QUESTION 14
Z (obtained) is ____________________.
the test statistic computed in step four of the hypothesis process
the score that marks the mean
the test that determines the sampling distribution
the score that marks the beginning of the critical region
1 points
QUESTION 15
The probability of rejecting a null hypothesis that is, in fact, true is a _____________________.
type I, or alpha error
type II, or beta error
critical value
critical region
1 points
QUESTION 16
A confidence interval is _____________________.
an estimate of the sample distribution
an estimate of the sample size
an estimate of the population size
an estimate of the population value
1 points
QUESTION 17
The equation for degrees of freedom for a two-sample test of means (small samples) is _________________.
N - 2
N1 (N1-1)
N1 - N2
N1 + N2 - 2
1 points
QUESTION 18
In the two-sample case of hypothesis testing, we are comparing a ___________to a ___________.
sample, sample
sample, population
population, sample
population, population
1 points
QUESTION 19
One main difference between one-sample hypothesis testing and two-sample hypothesis testing is that in the latter we are ____________________.
comparing means
comparing samples
comparing a sample to the population
comparing separate populations
1 points
QUESTION 20
When Z (obtained) falls in the critical region, we ____________________.
reject the alternative hypothesis
reject the null hypothesis
fail to reject the alternative hypothesis
fail to reject the null hypothesis
1 points
QUESTION 21
The three distributions involved in every application of inferential statistics are _______________.
sample proportion, population proportion, sampling mean
random sampling, sample distribution, sampling probability
sample distribution, population distribution, sampling distribution
EPSEM, sample means, sampling distribution
1 points
QUESTION 22
If you have a sample size larger than 100, and a known standard deviation of the population (), you would use _________________________ to test for significance.
Z distribution for one-sample proportions
t distribution for one-sample proportions
Z distribution for one-sample means
t distribution for one-sample means
1 points
QUESTION 23
Alpha levels are _______________________.
the amount of error in a sample
the probability of the population
the probability of error
the Greek letter for population variance
1 points
QUESTION 24
The higher the confidence level, the ________________ the interval width.
smaller
wider
more continuous
more precise
1 points
QUESTION 25
To say that a result is "significant' means that _______________________.
the results are likely due to random chance
the sample is not different from the population
the results are unlikely due to random chance
everyone in the sample is the same
1 points
QUESTION 26
If you hypothesized that the sample mean was greater than the population mean, you would need to use ________________________________.
one-sample proportion test
two-tailed test
one-tailed test
population estimators
1 points
QUESTION 27
An alpha level of 0.05 has a Z score of ___________.
+ 3.25
+ 2.58
+ 1.96
+ 1.65
biased, efficient
biased, evasive
unbiased, inefficient
unbiased, efficient
Explanation / Answer
Solution:-
2)
The larger the sample size, the smaller the confidence interval.
4) The main point in one-sample hypothesis testing is to determine if the sample is taken from the population.
5) The standard error of the mean is the standard deviation of the sampling distribution.
6) The critical region is the area beyond the critical value.
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