Lesson 1.3.5
1.3.5 Distributions, probability and significance levels Quiz: OCR Psychology, Unit 1
20 questions
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Lesson 1.3.5, Distributions, probability and significance levels: 20 multiple choice questions for the OCR Psychology (H567), Unit 1: Research methods (Component 01), written with Revision Ninja.
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The 20 questions
-
What shape is a normal distribution curve on a graph?
- Positively skewed curve
- Negatively skewed curve
- Bimodal flat shape
- Symmetrical bell shape
-
Where are the mean, median, and mode located in a normal distribution?
- On the left
- On the right
- At the midpoint
- At the tail
-
What is the standard significance level used in psychology research?
- p <= 0.10
- p <= 0.05
- p <= 0.50
- p <= 0.01
-
What type of error occurs when a researcher falsely rejects a true null hypothesis?
- Sampling error
- Type I error
- Standard error
- Type II error
-
What type of error occurs when a researcher accepts a false null hypothesis?
- Type I error
- Systematic error
- Random error
- Type II error
-
Which hypothesis test direction requires a one-tailed test?
- Alternative hypothesis
- Null hypothesis
- Non-directional hypothesis
- Directional hypothesis
-
Which hypothesis test direction requires a two-tailed test?
- Directional hypothesis
- Causal hypothesis
- Null hypothesis
- Non-directional hypothesis
-
In a positively skewed distribution, where is the long tail positioned?
- In the centre
- At both ends
- To the right
- To the left
-
A test score dataset has a long tail towards lower values. What distribution is this?
- Positively skewed
- Bimodal
- Negatively skewed
- Normally distributed
-
A study finds p = 0.03 at the 0.05 level. What should the researcher do?
- Change significance level
- Retain null hypothesis
- Accept null hypothesis
- Reject null hypothesis
-
If p = 0.08 and alpha = 0.05, what is the conclusion regarding the hypothesis?
- Hypothesis proven true
- Not statistically significant
- Statistically significant
- Type I error
-
An extremely difficult exam causes most students to score low. What skewness results?
- Positive skew
- Negative skew
- Normal distribution
- Zero skew
-
An unusually easy test results in mostly high scores. What skewness is produced?
- Positive skew
- Normal distribution
- Symmetrical distribution
- Negative skew
-
A researcher sets significance to p <= 0.01 instead of 0.05. What risk increases?
- Type II error
- Type I error
- Experimental bias
- Demand characteristics
-
A researcher uses p <= 0.10 instead of 0.05. What risk increases?
- Type I error
- Type II error
- Observer bias
- Measurement error
-
In a positively skewed distribution, which central tendency measure has the highest value?
- Median
- Range
- Mode
- Mean
-
In a negatively skewed distribution, what is the correct order from lowest to highest?
- Median, mean, mode
- Mean, mode, median
- Mean, median, mode
- Mode, median, mean
-
What percentage of scores fall within one standard deviation of a normal mean?
- Approximately 50%
- Approximately 68%
- Approximately 99%
- Approximately 95%
-
What percentage of scores fall within two standard deviations of a normal mean?
- Approximately 95%
- Approximately 68%
- Approximately 99%
- Approximately 80%
-
Why might a researcher choose a 1% significance level instead of 5%?
- Non-directional hypotheses
- High-stakes health trials
- Qualitative research studies
- Small sample sizes
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