In performing hypothesis tests about the population mean, a t test can be used if

the population is normally distributed

The one-sample runs test is a ...

nonparametric test of randomness

The null hypothesis for a chi-square test of independence is that

the two variables are not related.

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EADV_U3-U4

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1
If the populations are normally distributed, the test statistic used for the difference in two population means follows
A Pearson chi-square distribution
A Snedecor F distribution
A Student t distribution
A standard normal distrinution
2
In performing hypothesis tests about the population mean, a t test can be used if
the population mean is known
the population is normally distributed
n is large
the sample is random
3
The one-sample runs test is a ...
nonparametric test for statistical independence
nonparametric test of randomness
parametric test for statistical independence
parametric test of sequences
4
Before using the Levene test, we have to check
normality
none of the above is correct
all the above are correct
independency
5
The methods of parametric statistics require ...
qualitative data
small samples
large samples
numerical data
6
The null hypothesis for a chi-square test of independence is that
the samples are independent
the sample is representative of the population
the two variables are related.
the two variables are not related.
7
If a 90% C. I. for the difference in the two population means does not contain zero, then at a 0.1 significance level
H0:μ1=μ2 can be rejected
We cannot make a conclusion about a hypothesis test based on a C.I.
H0:μ1=μ2 cannot be rejected
H1:μ1≠μ2 can be rejected
8
The nonparametric counterpart of the t test to compare the means of two paired samples is the ...
Mann-Whitney U test
Wilcoxon test
chi-square test of independence
runs test
9
The nonparametric counterpart of the t test to compare the means of two independent populations is the
Mann-Whitney U test
chi-square test of independence
Runs text
Wilcoxon test
10
Statistical techniques based on the knowledge of the probability distribution of the population are called
population statistics
parametric statistics
chi-square statistics
nonparametric statistics

EADV_U3-U4 Flashcards | StudBud

EADV_U3-U4

10 termsStudBud Administration13 plays

Imported from external platform

Flashcards10 cardsFPractice quizPHost liveL

Questions 10

Answers

1
If the populations are normally distributed, the test statistic used for the difference in two population means follows
A Pearson chi-square distribution
A Snedecor F distribution
A Student t distribution
A standard normal distrinution
2
In performing hypothesis tests about the population mean, a t test can be used if
the population mean is known
the population is normally distributed
n is large
the sample is random
3
The one-sample runs test is a ...
nonparametric test for statistical independence
nonparametric test of randomness
parametric test for statistical independence
parametric test of sequences
4
Before using the Levene test, we have to check
normality
none of the above is correct
all the above are correct
independency
5
The methods of parametric statistics require ...
qualitative data
small samples
large samples
numerical data
6
The null hypothesis for a chi-square test of independence is that
the samples are independent
the sample is representative of the population
the two variables are related.
the two variables are not related.
7
If a 90% C. I. for the difference in the two population means does not contain zero, then at a 0.1 significance level
H0:μ1=μ2 can be rejected
We cannot make a conclusion about a hypothesis test based on a C.I.
H0:μ1=μ2 cannot be rejected
H1:μ1≠μ2 can be rejected
8
The nonparametric counterpart of the t test to compare the means of two paired samples is the ...
Mann-Whitney U test
Wilcoxon test
chi-square test of independence
runs test
9
The nonparametric counterpart of the t test to compare the means of two independent populations is the
Mann-Whitney U test
chi-square test of independence
Runs text
Wilcoxon test
10
Statistical techniques based on the knowledge of the probability distribution of the population are called
population statistics
parametric statistics
chi-square statistics
nonparametric statistics