1. Summarizing or examining two variables without relating it to other variables are known as Univariate.
Answer
Correct Answer:
False
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2. Statistical significance is a threshold, usually a minimum of ______that helps determine whether an observed result is likely because of chance (hence the null hypothesis cannot be rejected) or a phenomenon of interest.
Answer
Correct Answer:
95%
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3. _________is in multivariate analyses, these are variables other than the main independent variable(s) of interest that might affect the dependent variable and threaten validity if not included in the model.
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Correct Answer:
Statistical control variable
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4. _______ is a way to summarize and to compare patterns in information observed in data.
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Correct Answer:
Statistic
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5. _________ is a linear graphical representation of where data should be if the distribution is normal compared to what data actually look like.
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Correct Answer:
Quantile–Quartile
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6. Normal distribution is also known as the______.
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Correct Answer:
Bell-curve
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7. Comparisons that involve two variables is known as Multivariate
Answer
Correct Answer:
False
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8. Inferential statistics are statistical tests that relate observed sample data to observed population characteristics.
Answer
Correct Answer:
False
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9. Frequency is a graphical representation of the distribution of data that is commonly used to determine whether a distribution is normally distributed or not.
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Correct Answer:
False
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10. Statistical tests that summarize the spread of a distribution of sample responses to a variable.
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Correct Answer:
Dispersion
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11. Statistics that summarize or compare patterns in sample data without trying to relate those patterns to the wider population is known as ?
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Correct Answer:
Descriptive statistics
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12. Statistical test that summarizes the typical sample response to a variable.
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Correct Answer:
Central tendency
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13. Statistical comparisons that examine how two variables relate to each other is known as ?
Answer
Correct Answer:
Bivariate
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Research (Practicle, Real-World) MCQs | Topic-wise