An experimenter is interested in whether there is a difference in scores between the two conditions of the experiment. What type of hypothesis is this?
Two-tailed
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The experimenter asked whether reading text books in the morning is easier than reading text books in the afternoon. Why is this a one-tailed hypothesis?
The experimenter is only interested in a significant difference in one direction.
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Can a random error be removed in an experiment?
No
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What type of error can be caused by all kinds of things that are not under an experimenter's control?
Random error
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What type of error occurs where we have a systematic bias between our two conditions which might affect the results?
Constant error
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Lizzie uses a memory test for her experiment. Most participants get nearly all of the answers correct. This means Lizzie is unable to find any differences between two two groups. What is this an example of?
Ceiling effect
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Lizzie uses a memory test for her experiment. The test is so difficult and nearly everyone gets no correct answers or only a few correct answers. This means that Lizzie is unable to discriminate between the groups. What is this an example of?
Floor effect
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What technique is used to deal with order effects when using a repeated measures design?
Counterbalancing
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In order to increase the power of your experiment, what changes do you make to your participants?
Increase number of participants
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Lizzie runs her experiment and found the participant's mood affected her results. What is this an example of?
Random error
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Participant's mood, differences in ability, time of day - these are all examples of what?
Random error
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If people believe a drug will affect them in a certain way then they will often react in that way when they believe the drug has been administered to them. What is this an example of?
Placebo effects
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What is the definition of standard error?
Standard deviation of sample means
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What does a large sample error mean?
The sample might not be representative of the population
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What is the definition of a type I error?
When we believe there is a genuine effect in our population when in fact there isn't
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What is the definition of a type II error?
When we believe that there is no effect in the population when, in reality, there is
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In null hypothesis significance testing, if the probability is less than .05, what do we do?
Reject the idea that there is no effect - we have a statistically significant finding
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In null hypothesis significance testing, if the probability is greater than .05 what do we do?
Do not reject the idea that there is no effect - we have a non significant finding
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The significance of a test statistic is directly linked to what?
The sample size
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What is the definition of standard error?
Tells us how much the parameter varies across samples
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What is the definition of a parameter?
A measurable characteristic of a population
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Other cards in this set
Card 2
Front
The experimenter asked whether reading text books in the morning is easier than reading text books in the afternoon. Why is this a one-tailed hypothesis?
Back
The experimenter is only interested in a significant difference in one direction.
Card 3
Front
Can a random error be removed in an experiment?
Back
Card 4
Front
What type of error can be caused by all kinds of things that are not under an experimenter's control?
Back
Card 5
Front
What type of error occurs where we have a systematic bias between our two conditions which might affect the results?
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