問題一覧
1
______ hypothesis testing situations start with stating the _________ hypothesis.
All, statistical
2
A _________ hypothesis is a conjecture about the population parameter.
statistical
3
A statistical hypothesis is a conjecture about the ____________.
population parameter
4
This ____________ may or may not be true
conjecture
5
There are two types of statistical hypotheses: the _______ hypothesis and ________ hypothesis.
null, alternative
6
_________ Hypotheses, symbolized by _____ is a statistical hypothesis testing that assumes that the observation is due to a chance factor.
null, H0
7
In hypothesis testing, _______ hypothesis is denoted by; H0:𝜇1 = 𝜇2, which shows that there is ____ difference between the two ____________ means (or parameters).
null, no, population
8
________ hypothesis, symbolized by ____, is the opposite of the null hypothesis.
Alternative, H1
9
It shows that observations are the result of a real effect.
Alternative hypothesis
10
It states that there is a difference between two population means (or parameters).
Alternative hypothesis
11
When dealing with hypothesis tests, there are ______ possible outcomes.
four
12
Based from the given table, a researcher commits an error if a ______ H0 is rejected or accepted by a ______ H0. When a researcher rejects a true H0, he commits a ________ error or ______ error. When a researcher accepts a false H0, he commits a _______ error or ______ error
true, false, type I, alpha, type II, beta
13
A Type I error is committed when the researcher _______
a ______ hypothesis when in fact it is _____
rejects, null, true
14
A Type II error is committed when the researcher _______ a _______ hypothesis when in fact it is ________.
accepts, null, false
15
When a researcher tests the hypothesis, he is _____ certain that the decision is _____ correct. However, he is confident at a certain level that the decision is correct, say ____of the decision he made is a ________ one.
not, 100%, 99%, correct
16
The confidence level is 99% or the level of significance is ____ When the confidence level is 95%, the level of significance is ____. On the other hand, when the confidence level is 90%, the level of significance is ____ In this case, the higher the confidence level, the _____ certain that the decision of _________ the _____ hypothesis is ________
1%, 5%, 10%, more, rejecting, null, correct
17
In hypothesis testing, the ______________ refers to the degree of significance in which we accept or reject the ______ hypothesis.
level of significance, null
18
It is the probability of committing a Type I error or alpha
error or the probability of rejecting the correct null hypothesis.
level of significance
19
Level of significance :
It is the probability of committing a ______ error or ______
error or the probability of rejecting the correct null hypothesis.
type I, alpha
20
In hypothesis testing, 100% accuracy is ____ possible for accepting or rejecting a _____ hypothesis. So, we therefore select a level of significance that is usually 1% and 5%. Level of significance is the maximum probability of committing a _________That is, ___ = 𝛼. This probability is symbolized by 𝛼(_______ letter _____).
not, null, Type I, P, Greek, alpha
21
________ the significance level is chosen, a ____________ is selected from a table for the appropriate test statistic.
After, critical value
22
The __________ determines the critical and noncritical regions.
critical value
23
The ______________ is a value that separates the critical region from the noncritical region.
critical value
24
The critical or rejection region is the range of the values of the test value that indicates that there is __________ difference and that the _____ hypothesis (H0) should be _________.
significant, null, rejected
25
The ________ or ________ region is the range of the values of the test value that indicates that there is significant difference and that the null hypothesis (H0) should be rejected.
critical, rejection
26
____________or ___________ region is the range of the values of the test value that indicates that the difference was probably due to chance and that the null hypothesis (H0) should not be rejected.
noncritical, nonrejection
27
Noncritical or nonrejection region is the range of the values of the test value that indicates that the difference was probably due to chance and that the ______ hypothesis (H0) should ____ be _________
null, not, rejected
28
_______________ is the probability of not committing a Type II error or beta error
Power of a test
29
The ____________ is used as a basis for deciding whether to reject or accept the null hypothesis.
test statistic
30
The rejection region lies at ________ the left or right tail of the normal curve if _____ tailed test is being used. On the other hand, the rejection region lies at _____ end tails of the normal curve if _____ tailed test will be utilized.
either, one, both, two
31
When the test statistic lies on the rejection region, then the null hypothesis will be __________.
rejected
32
The _____________ region is the probability of making a Type I error equals to the level of significance.
non-rejection
33
The non-rejection region is the probability of making a ________ error _______ to the level of ____________..
Type 1, equals, significance
34
Non-rejection region is also known as the _________ region.
acceptance
35
When the statistic lies within the non-rejection region, the _____ hypothesis will be __________ or the critical value is _________ than the computed value of the test statistic.
null, accepted, greater
36
When the statistic lies within the ____________ region, the null hypothesis will be accepted or the _________ value is greater than the _________ value of the test statistic.
non-rejection, critical, computed
37
The ____________ is a value that separates the non-rejection region and the rejection region.
critical value
38
The use of one-tailed test or two-tailed test will depend on how the ___________ is formulated. If the alternative hypothesis is expressed in _____________, it will utilize the two-tailed test. However, use the one-tailed test if the _________ hypothesis is ____________.
alternative, non-directional, alternative, directional
39
In two-tailed test, the two _________ regions lie at ______ end tails of the normal curve; each part will be half of the ________ value. If alpha = 0.05, the area in each end tail is alpha=0.025. In one-tailed test, the rejection region lies ________ at the left or right end tail of the normal curve.
rejection, both, alpha, either
40
A one-tailed test shows that the _____ hypothesis be ________ when test value is in critical region on _____ side of the mean.
null, rejected, one
41
________________ is a type of statistical inference, which examines the claim about a population based on the information obtained in the random sample.
hypothesis testing
Topic 1
Topic 1
Mikyii · 67問 · 1年前Topic 1
Topic 1
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Topic 2
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Topic 2
37問 • 1年前Topic 2.2 - 2.3
Topic 2.2 - 2.3
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Topic 2.2 - 2.3
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Topic 1 - 1.2
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Topic 1 - 1.2
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Topic 1.3
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Topic 1.3
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Topic 1.4 - 1.5
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Topic 1.4 - 1.5
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Topic 2.1 - 2.2
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Topic 2.1 - 2.2
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Topic 2.3 - 2.4
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Topic 2.5
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Topic 2.5
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Topic 3.1
Mikyii · 25問 · 1年前Topic 3.1
Topic 3.1
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Topic 3.3
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Topic 3.3
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Topic 3.4
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Topic 1
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Topic 2
59問 • 1年前Topic 2 : Unemployment
Topic 2 : Unemployment
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Topic 2 : Unemployment
32問 • 1年前Topic 2 : Inflation
Topic 2 : Inflation
Mikyii · 59問 · 1年前Topic 2 : Inflation
Topic 2 : Inflation
59問 • 1年前問題一覧
1
______ hypothesis testing situations start with stating the _________ hypothesis.
All, statistical
2
A _________ hypothesis is a conjecture about the population parameter.
statistical
3
A statistical hypothesis is a conjecture about the ____________.
population parameter
4
This ____________ may or may not be true
conjecture
5
There are two types of statistical hypotheses: the _______ hypothesis and ________ hypothesis.
null, alternative
6
_________ Hypotheses, symbolized by _____ is a statistical hypothesis testing that assumes that the observation is due to a chance factor.
null, H0
7
In hypothesis testing, _______ hypothesis is denoted by; H0:𝜇1 = 𝜇2, which shows that there is ____ difference between the two ____________ means (or parameters).
null, no, population
8
________ hypothesis, symbolized by ____, is the opposite of the null hypothesis.
Alternative, H1
9
It shows that observations are the result of a real effect.
Alternative hypothesis
10
It states that there is a difference between two population means (or parameters).
Alternative hypothesis
11
When dealing with hypothesis tests, there are ______ possible outcomes.
four
12
Based from the given table, a researcher commits an error if a ______ H0 is rejected or accepted by a ______ H0. When a researcher rejects a true H0, he commits a ________ error or ______ error. When a researcher accepts a false H0, he commits a _______ error or ______ error
true, false, type I, alpha, type II, beta
13
A Type I error is committed when the researcher _______
a ______ hypothesis when in fact it is _____
rejects, null, true
14
A Type II error is committed when the researcher _______ a _______ hypothesis when in fact it is ________.
accepts, null, false
15
When a researcher tests the hypothesis, he is _____ certain that the decision is _____ correct. However, he is confident at a certain level that the decision is correct, say ____of the decision he made is a ________ one.
not, 100%, 99%, correct
16
The confidence level is 99% or the level of significance is ____ When the confidence level is 95%, the level of significance is ____. On the other hand, when the confidence level is 90%, the level of significance is ____ In this case, the higher the confidence level, the _____ certain that the decision of _________ the _____ hypothesis is ________
1%, 5%, 10%, more, rejecting, null, correct
17
In hypothesis testing, the ______________ refers to the degree of significance in which we accept or reject the ______ hypothesis.
level of significance, null
18
It is the probability of committing a Type I error or alpha
error or the probability of rejecting the correct null hypothesis.
level of significance
19
Level of significance :
It is the probability of committing a ______ error or ______
error or the probability of rejecting the correct null hypothesis.
type I, alpha
20
In hypothesis testing, 100% accuracy is ____ possible for accepting or rejecting a _____ hypothesis. So, we therefore select a level of significance that is usually 1% and 5%. Level of significance is the maximum probability of committing a _________That is, ___ = 𝛼. This probability is symbolized by 𝛼(_______ letter _____).
not, null, Type I, P, Greek, alpha
21
________ the significance level is chosen, a ____________ is selected from a table for the appropriate test statistic.
After, critical value
22
The __________ determines the critical and noncritical regions.
critical value
23
The ______________ is a value that separates the critical region from the noncritical region.
critical value
24
The critical or rejection region is the range of the values of the test value that indicates that there is __________ difference and that the _____ hypothesis (H0) should be _________.
significant, null, rejected
25
The ________ or ________ region is the range of the values of the test value that indicates that there is significant difference and that the null hypothesis (H0) should be rejected.
critical, rejection
26
____________or ___________ region is the range of the values of the test value that indicates that the difference was probably due to chance and that the null hypothesis (H0) should not be rejected.
noncritical, nonrejection
27
Noncritical or nonrejection region is the range of the values of the test value that indicates that the difference was probably due to chance and that the ______ hypothesis (H0) should ____ be _________
null, not, rejected
28
_______________ is the probability of not committing a Type II error or beta error
Power of a test
29
The ____________ is used as a basis for deciding whether to reject or accept the null hypothesis.
test statistic
30
The rejection region lies at ________ the left or right tail of the normal curve if _____ tailed test is being used. On the other hand, the rejection region lies at _____ end tails of the normal curve if _____ tailed test will be utilized.
either, one, both, two
31
When the test statistic lies on the rejection region, then the null hypothesis will be __________.
rejected
32
The _____________ region is the probability of making a Type I error equals to the level of significance.
non-rejection
33
The non-rejection region is the probability of making a ________ error _______ to the level of ____________..
Type 1, equals, significance
34
Non-rejection region is also known as the _________ region.
acceptance
35
When the statistic lies within the non-rejection region, the _____ hypothesis will be __________ or the critical value is _________ than the computed value of the test statistic.
null, accepted, greater
36
When the statistic lies within the ____________ region, the null hypothesis will be accepted or the _________ value is greater than the _________ value of the test statistic.
non-rejection, critical, computed
37
The ____________ is a value that separates the non-rejection region and the rejection region.
critical value
38
The use of one-tailed test or two-tailed test will depend on how the ___________ is formulated. If the alternative hypothesis is expressed in _____________, it will utilize the two-tailed test. However, use the one-tailed test if the _________ hypothesis is ____________.
alternative, non-directional, alternative, directional
39
In two-tailed test, the two _________ regions lie at ______ end tails of the normal curve; each part will be half of the ________ value. If alpha = 0.05, the area in each end tail is alpha=0.025. In one-tailed test, the rejection region lies ________ at the left or right end tail of the normal curve.
rejection, both, alpha, either
40
A one-tailed test shows that the _____ hypothesis be ________ when test value is in critical region on _____ side of the mean.
null, rejected, one
41
________________ is a type of statistical inference, which examines the claim about a population based on the information obtained in the random sample.
hypothesis testing