Deck 11: Power
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Deck 11: Power
1
Maximizing the power of an experiment _________.
A) minimizes alpha
B) minimizes beta
C) increases the probability of rejecting H 0 when H 0 is true
D) increases the probability of making a Type II error
A) minimizes alpha
B) minimizes beta
C) increases the probability of rejecting H 0 when H 0 is true
D) increases the probability of making a Type II error
minimizes beta
2
With other factors held constant, as the effect of the independent variable decreases, power will _________ and the probability of a Type II error will _________.
A) decrease, increase
B) decrease, decrease
C) increase, decrease
D) increase, increase
A) decrease, increase
B) decrease, decrease
C) increase, decrease
D) increase, increase
decrease, increase
3
Which of the following values of P represents the largest effect?
A) P real = 0.20
B) P real = 0.70
C) P real = 0.75
D) P null = 0.50
A) P real = 0.20
B) P real = 0.70
C) P real = 0.75
D) P null = 0.50
P real = 0.20
4
If the null hypothesis is false, the probability of making a correct decision is given by _________.
A) alpha
B) beta
C) 1 - alpha
D) power
A) alpha
B) beta
C) 1 - alpha
D) power
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5
You can only compute power when ________.
A) alpha > 0.05
B) H 1 is given
C) Beta > 0.05
D) 1 - power = 0.05
A) alpha > 0.05
B) H 1 is given
C) Beta > 0.05
D) 1 - power = 0.05
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6
If N = 4, P real = 0.80 in the direction predicted, and a = 0.051 tail, using the sign test, the power is _________.
A) 0.9375
B) 0.0000
C) 1.0000
D) 0.0625
A) 0.9375
B) 0.0000
C) 1.0000
D) 0.0625
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7
If H 0 is true, then the probability of rejecting H 0 is limited by _________.
A) Power
B) 1 - power
C) alpha
D) beta
A) Power
B) 1 - power
C) alpha
D) beta
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8
If the power of an experiment is 0.7496, the probability of making a Type II error is _________.
A) 0.2498
B) 0.05
C) 0.2504
D) cannot tell without more information
A) 0.2498
B) 0.05
C) 0.2504
D) cannot tell without more information
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9
With alpha and N held constant, as the effect of the independent variable increases _________.
A) the probability of rejecting H 0 increases
B) power increases
C) the probability of rejecting H 0 remains the same
D) the probability of making a Type II error decreases
E) a, b, and d
A) the probability of rejecting H 0 increases
B) power increases
C) the probability of rejecting H 0 remains the same
D) the probability of making a Type II error decreases
E) a, b, and d
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10
The advantage of a powerful experiment is that _________.
A) the probability of a Type I error is reduced.
B) you are more likely to detect the real effects of the independent variable, if there are any.
C) as power increases, alpha increases.
D) as power increases, N increases
A) the probability of a Type I error is reduced.
B) you are more likely to detect the real effects of the independent variable, if there are any.
C) as power increases, alpha increases.
D) as power increases, N increases
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11
You are considering testing a new drug that is supposed to facilitate learning in mentally retarded children. Because there is relatively little known about the drug, you plan to use a nondirectional alternative hypothesis. Since your resources are limited, you can test only 15 subjects. The subjects will be run in a repeated measures design and the data will be analyzed with the sign test, using a = 0.052 tail. If the drug has a medium effect on learning such that P real = 0.70, what is the probability you will detect the effect when doing your experiment.
A) 0.2968
B) 0.0176
C) 0.2969
D) 0.0352
A) 0.2968
B) 0.0176
C) 0.2969
D) 0.0352
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12
With alpha and the effect of the independent variable held constant, as N increases _________.
A) power increases
B) the probability of a Type I error increases
C) the probability of a Type II error increases
D) power decreases
A) power increases
B) the probability of a Type I error increases
C) the probability of a Type II error increases
D) power decreases
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13
In an experiment in which H 1 is nondirectional, and the state of reality is such that the probability of a plus = 0.50, the probability of making a Type II error is _________.
A) 1 - alpha
B) 0
C) 1
D) need more information
A) 1 - alpha
B) 0
C) 1
D) need more information
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14
With the effect of the independent variable and N held constant, as a gets more stringent _________.
A) power increases
B) power stays the same
C) power decreases
D) beta decreases
A) power increases
B) power stays the same
C) power decreases
D) beta decreases
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15
Power equals _________
A) alpha + beta
B) 1 - beta
C) 1 - alpha
D) alpha - beta
A) alpha + beta
B) 1 - beta
C) 1 - alpha
D) alpha - beta
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16
If H 0 is in reality false and it is legitimate to use a directional H 1, which of the following will yield a more powerful test?
A) one-tailed alternative hypothesis
B) two-tailed alternative hypothesis
C) one-tailed or two-tailed alternative hypothesis will yield the same power
D) type of alternative hypothesis has no effect on power
A) one-tailed alternative hypothesis
B) two-tailed alternative hypothesis
C) one-tailed or two-tailed alternative hypothesis will yield the same power
D) type of alternative hypothesis has no effect on power
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17
The power of an experiment is affected by _________.
A) the alpha level
B) the sample size
C) the size of effect of the independent variable
D) all of these
A) the alpha level
B) the sample size
C) the size of effect of the independent variable
D) all of these
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18
If H 0 is true and the probability of making a Type I error is 0.05, then the probability of making a correct decision is _________.
A) power
B) 0.05
C) 0.95
D) need more information
A) power
B) 0.05
C) 0.95
D) need more information
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19
If H 1 is nondirectional and the size of the effect of the independent variable decreases, the probability of making a Type I error _________.
A) decreases
B) increases
C) equals zero
D) need more information
A) decreases
B) increases
C) equals zero
D) need more information
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20
You are considering testing a new drug that is supposed to facilitate learning in mentally retarded children. Because there is relatively little known about the drug, you plan to use a nondirectional alternative hypothesis. Since your resources are limited, you can test only 15 subjects. The subjects will be run in a repeated measures design and the data will be analyzed with the sign test, using a = 0.052 tail. What is the probability of a Type II error?
A) 0.7032
B) 0.7031
C) 0.9824
D) 0.9648
A) 0.7032
B) 0.7031
C) 0.9824
D) 0.9648
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21
In an experiment with N = 14 and P real = 0.10, what is the power using a = .012 tail?
A) 0.0500
B) 1.0000
C) 0.5847
D) 0.9868
A) 0.0500
B) 1.0000
C) 0.5847
D) 0.9868
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22
In an experiment with N = 6 and P real = 0.15, what is the power using a = 0.012 tail?
A) 1.0000
B) 0.5000
C) 0.0000
D) 0.3771
A) 1.0000
B) 0.5000
C) 0.0000
D) 0.3771
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23
An experiment with N = 18 is more powerful than an experiment with N = 17, all other things being the same.
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24
In an experiment, if the effect of the independent variable and alpha remain the same and N increases, _________.
A) power increases
B) power decreases
C) power remains the same
D) cannot be determined
A) power increases
B) power decreases
C) power remains the same
D) cannot be determined
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25
Truth demands that scientists set _________.
A) alpha equal to 0.05
B) alpha equal to 0.01
C) a or b
D) not necessarily a = 0.01 or 0.05, but use their best judgment
A) alpha equal to 0.05
B) alpha equal to 0.01
C) a or b
D) not necessarily a = 0.01 or 0.05, but use their best judgment
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26
In a two-tailed test, which of the following would yield the same power as a size of effect represented by P real = 0.90?
A) P real = 1.00
B) P real = 0.10
C) P real = 0.80
D) none of these
A) P real = 1.00
B) P real = 0.10
C) P real = 0.80
D) none of these
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27
Which of the following may be false ?
A) alpha + beta = 1
B) power + beta = 1
C) 1 - power = beta
D) 1 - beta = power
A) alpha + beta = 1
B) power + beta = 1
C) 1 - power = beta
D) 1 - beta = power
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28
If H 0 is false, the probability of making a correct decision is _________.
A) alpha
B) 1 - alpha
C) power
D) 1 - power
A) alpha
B) 1 - alpha
C) power
D) 1 - power
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29
You are considering testing a new drug that is supposed to facilitate learning in mentally retarded children. Because there is relatively little known about the drug, you plan to use a nondirectional alternative hypothesis. Since your resources are limited, you can test only 20 subjects. The subjects will be run in a repeated measures design and the data will be analyzed with the sign test, using a = 0.052 tail. What is the power this time?
A) 0.4163
B) 0.2969
C) 0.6161
D) 0.2458
A) 0.4163
B) 0.2969
C) 0.6161
D) 0.2458
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30
If the independent variable has a real effect, the probability of rejecting H 0 is _________.
A) power
B) 1 - power
C) alpha
D) beta
A) power
B) 1 - power
C) alpha
D) beta
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31
Which of the following P values represents the strongest effect?
A) P null = 0.50
B) P real = 0.70
C) P real = 0.80
D) P real = 0.
A) P null = 0.50
B) P real = 0.70
C) P real = 0.80
D) P real = 0.
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32
Which of the following represents the null hypothesis condition for a nondirectional H 1?
A) P real = 0.49
B) P null = 0.50
C) P real = 0.51
D) all of these
A) P real = 0.49
B) P null = 0.50
C) P real = 0.51
D) all of these
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33
Assume that you have conducted an experiment and the tail probability for the results you obtained was 0.0900 and a = 0.05. You can conclude _________.
A) the independent variable has no effect
B) the independent variable has a small effect
C) you were unable to detect an effect of the independent variable with your experiment
D) the null hypothesis is false
A) the independent variable has no effect
B) the independent variable has a small effect
C) you were unable to detect an effect of the independent variable with your experiment
D) the null hypothesis is false
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34
If the power of an experiment is 0.3400, the probability of retaining H 0 when H 0 is false is _________.
A) 0.6600
B) 0.3400
C) 0.5000
D) 1.0000
A) 0.6600
B) 0.3400
C) 0.5000
D) 1.0000
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35
In the case of N = 3, P real = 0.90, a = 0.051 tail, using the sign test, the power is _________.
A) 1.0000
B) 0.1250
C) 0.8750
D) 0.0000
A) 1.0000
B) 0.1250
C) 0.8750
D) 0.0000
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36
In an experiment with N = 14 and P real = 0.10, what is the power using a = 0.052 tail?
A) 0.8417
B) 0.0132
C) 0.0000
D) 0.0500
A) 0.8417
B) 0.0132
C) 0.0000
D) 0.0500
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37
If beta = 0.7500, what is the power of the experiment?
A) 0.7500
B) 0.5000
C) 0.2500
D) 1.0000
A) 0.7500
B) 0.5000
C) 0.2500
D) 1.0000
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38
Power is defined as ______.
A) the probability of rejecting H 0 if H 0 is false
B) the probability of accepting H 1 if H 1 is true
C) the probability of rejecting H 0 if H 0 is false and the probability of accepting H 1 if H 1 is true
D) the probability of rejecting H 0 if H 0 is true
A) the probability of rejecting H 0 if H 0 is false
B) the probability of accepting H 1 if H 1 is true
C) the probability of rejecting H 0 if H 0 is false and the probability of accepting H 1 if H 1 is true
D) the probability of rejecting H 0 if H 0 is true
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39
In the sign test, if H 0 is false, then P real _________.
A) equals 0.05
B) equals 0.50
C) equals 1 - 0.05
D) does not equal 0.50
A) equals 0.05
B) equals 0.50
C) equals 1 - 0.05
D) does not equal 0.50
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40
One can increase power by _________.
A) increasing N
B) making alpha more stringent
C) increasing the effect of independent variable
D) increasing N and the effect of independent variable
A) increasing N
B) making alpha more stringent
C) increasing the effect of independent variable
D) increasing N and the effect of independent variable
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41
P null _________.
A) always equals 1 - P real
B) never equals 0.50
C) always equals 0.50
D) equals 0.50, ?5= 0.50, or ?4= 0.50, depending on H 1
A) always equals 1 - P real
B) never equals 0.50
C) always equals 0.50
D) equals 0.50, ?5= 0.50, or ?4= 0.50, depending on H 1
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42
Increasing N affects the magnitude of the effect of the independent variable.
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43
It is impossible to ever prove that H 0 is true because _________.
A) the power to detect very weak but real effects of the independent variable is always low
B) chance is a vague concept
C) very strong real effects of the independent variable swamp out chance
D) power decreases as N decreases
A) the power to detect very weak but real effects of the independent variable is always low
B) chance is a vague concept
C) very strong real effects of the independent variable swamp out chance
D) power decreases as N decreases
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44
Other factors held constant, a one-tailed test is more powerful than a two-tailed test.
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45
"Nonsignificant results" means _________.
A) H 0 was unable to be rejected
B) the power of the experiment was too low
C) H 1 was wrong
D) H 0 was unable to be rejected and the power of the experiment was too low
A) H 0 was unable to be rejected
B) the power of the experiment was too low
C) H 1 was wrong
D) H 0 was unable to be rejected and the power of the experiment was too low
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46
"State of Reality" means _________.
A) true state of affairs regarding the alpha level
B) true state of affairs regarding H 1
C) true state of affairs regarding H 0
D) true state of affairs regarding H 1 and true state of affairs regarding H 0
A) true state of affairs regarding the alpha level
B) true state of affairs regarding H 1
C) true state of affairs regarding H 0
D) true state of affairs regarding H 1 and true state of affairs regarding H 0
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47
Increasing N increases the probability of a Type II error.
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48
High power is desirable in an experiment.
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49
If H 0 is false, as the power of the experiment increases, the probability of rejecting H 0 increases.
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50
"Correct Decision" is defined as _________.
A) retaining H 0 when it is true
B) rejecting H 0 when it is false
C) rejecting H 1 when it is false
D) accepting H 1 when it is true
E) all of these
A) retaining H 0 when it is true
B) rejecting H 0 when it is false
C) rejecting H 1 when it is false
D) accepting H 1 when it is true
E) all of these
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51
The higher the power, _________.
A) the larger is P real
B) the larger the N of the experiment
C) the more the experiment allows H 0 to be rejected if it is false
D) the more likely H 0 is to be rejected whether H 0 is true or false
E) the larger is P real and the larger the N of the experiment
A) the larger is P real
B) the larger the N of the experiment
C) the more the experiment allows H 0 to be rejected if it is false
D) the more likely H 0 is to be rejected whether H 0 is true or false
E) the larger is P real and the larger the N of the experiment
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52
Power and beta are inversely related.
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53
In general, the sum of alpha and beta should equal 1.
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54
A real effect of the independent variable is defined as _________.
A) all possible effects including no change in the dependent variable
B) any effect that produces a change in the dependent variable
C) an effect that produces an increase in the value of the dependent variable
D) an effect showing no change in the dependent variable
A) all possible effects including no change in the dependent variable
B) any effect that produces a change in the dependent variable
C) an effect that produces an increase in the value of the dependent variable
D) an effect showing no change in the dependent variable
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55
Power is a measure of the sensitivity of an experiment to detect the real effects of the independent variable, if there are any.
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56
Power is the probability of rejecting H 0 if it is false.
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57
P null is defined as _________.
A) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect in the direction predicted by a directional H 1
B) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect
C) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has an effect in the direction predicted by a directional H 1
D) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect.
A) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect in the direction predicted by a directional H 1
B) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect
C) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has an effect in the direction predicted by a directional H 1
D) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect.
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58
P real is defined as _________.
A) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect
B) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect
C) the probability of getting a plus with any subject in the sample of the experiment when chance alone is at work
D) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect in the direction predicted by the directional H 1
A) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect
B) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has no effect
C) the probability of getting a plus with any subject in the sample of the experiment when chance alone is at work
D) the probability of getting a plus with any subject in the sample of the experiment when the independent variable has a real effect in the direction predicted by the directional H 1
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59
Using sample data, it is impossible to prove with certainty that H 0 is true.
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60
If H 0 is true, as the power of the experiment increases, the probability of rejecting H 0 increases.
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61
Alpha + beta = 1.
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62
An experiment where P real = 0.10 is less likely to allow rejection of H 0 if H 0 is false than one where P real = 0.80.
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63
A good experiment is one where both a and b are low.
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64
Power is the probability of making a correct decision when H 0 is true.
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65
Beta is the probability of retaining H 0 when H 0 is false.
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66
Power varies from - 1 to +1.
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67
The greater the sample size the greater the power.
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68
A power analysis is useful when the results of an experiment fail to reach significance.
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69
H 0 states that the independent variable has no effect. H 1 is nondirectional.
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70
Power = 1 ?2- b
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71
b = 1 ?2- a .
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72
It is impossible for an experiment to have power equal to zero.
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73
Decreasing beta will generally cause a to increase.
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74
An experiment with a = 0.05 is more powerful than one where a = 0.01, other factors held constant.
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75
If one conducts an experiment and ends up retaining H 0 , it is probably because the experiment was not powerful enough.
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76
The concept of statistical power applies only to the sign test.
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77
If H 0 is true, power is the probability of not making a Type II error.
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78
In an experiment where we retain H 0 , one cannot be certain if it was because H 0 was true or that the experiment was not powerful enough to detect an effect by the independent variable.
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79
If the independent variable is more powerful in experiment A than in experiment B, there is a higher probability of rejecting H 0 in A than in B if, in fact, H 0 is false.
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80
If in reality H 0 is true, then designing a very powerful experiment (without changing alpha) will allow us to reject H 0 more readily.
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