Dive into the fascinating world of inferential statistics with our comprehensive "Inferential Statistics Quiz." Test your knowledge and understanding of this essential branch of statistical analysis. From hypothesis testing to confidence intervals, this quiz covers it all.
Whether you're a student brushing up on your statistical skills or a data enthusiast, this quiz will challenge and expand your grasp of See moreinferential statistical tests. Get ready to explore concepts like p-values, t-tests, ANOVA, and more. Put your statistical thinking to the test and see how well you can draw conclusions from the data. Feel free to share the quiz with your friends and challenge them to beat your score!
True
False
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Ordinal data
Nominal data
Correlational data
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Matched participants
Independent groups
Repeated measures
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Mann Whitney
Chi-Squared
Wilcoxon Matched
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The number of friends that participants have on Facebook
The type of breakfast cereal that people prefer
The number of questions correctly answered in a test
The number of albums each person has on their I-Pod
The type of pets people have (if any)
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0%
5%
10%
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That participants had an average score of 0.05
The probability of results occuring by chance is equal to or less that 0.05
There is a 0.05 chance that the results are wrong
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Rejecting a null hypothesis that is true
Retaining a null hypothesis that is false
Inputting your data inaccurately in a statistical test
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Mann Whiteney
Spearmans Rho
Chi-Squared
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Accept the null hypothesis and reject the experimental hypothesis
Reject the null hypothesis and accept the experimental hypothesis
Re-write the hypothesis
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There will be a difference between the length of time taken to complete a test online and the time taken to complete a test on paper.
Tests completed online will be completed faster than tests completed on paper.
There will be no difference between the length of time taken to complete tests online and tests completed on paper, and if there is it is due to chance.
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The probability of obtaining the observed results by random chance
The confidence interval
The sample size
The effect size of a test
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Paired t-test
Chi-square test
Independent t-test
ANOVA
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H1
μ (mu)
X̄ (x-bar)
H0
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