Inferential statistics in Education MCQs
Inferential statistics in Education MCQs
Answer these Inferential statistics in Education MCQs and see how sharp is your knowledge of Inferential statistics in Education.
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1: What does a significant test statistic tell us?
A. There is an important effect.
B. That the test statistic is larger than we would expect if there were no effect in the population.
C. The hull hypothesis is false.
D. All of the above.
2: What is the relationship between sample size and the standard error of the mean? (Hint: The law of large numbers applies here: the larger the sample is, the better it will reflect that particular population.)
A. The standard error decreases as the sample size decreases.
B. The standard error is unaffected by the sample size.
C. The standard error increases as the sample size increases.
D. The standard error decreases as the sample size increases.
What symbol is used to represent the standard error of the mean?
A.
B.
C.
D.
4: Which of the following statements is true?
A. The standard error is calculated solely from sample attributes.
B. The standard deviation is calculated only from sample attributes.
C. The standard error is a measure of central tendency.
D. All of the above.
5: There are basically two types of statistics – descriptive and inferential. Which of the following sentences are true about descriptive statistics? (Hint: The answer is in the name descriptive statistics).
A. Descriptive statistics enable you to make decisions about your data, for example, is one group mean significantly different from the population mean?
B. Descriptive statistics describe the data.
C. Descriptive statistics enable you to draw inferences about your data, for example does one variable predict another variable?
D. All of the above.
6: Inferential statistics in education are used to:
A. Describe the characteristics of a sample
B. Make predictions about a population based on sample data (Correct)
C. Summarize the data collected in a research study
D. Conduct experiments to test hypotheses
7: A researcher is interested in finding out if there is a significant difference in test scores between two groups of students. Which statistical test should the researcher use?
A. Chi-square test
B. Mann-Whitney U test
C. Independent samples t-test (Correct)
D. One-way ANOVA
8: What does a p-value in inferential statistics represent?
A. The probability of committing a Type II error
B. The level of significance at which the null hypothesis can be rejected (Correct)
C. The sample mean
D. The sample size
9: A p-value of 0.03 indicates that:
A. There is a 3% chance of rejecting the null hypothesis incorrectly
B. The results are not statistically significant
C. The results are statistically significant at the 0.05 level (Correct)
D. The results are not valid
10: When conducting a hypothesis test, the null hypothesis represents:
A. The researcher's initial assumption or prediction
B. The hypothesis that there is no significant difference between groups (Correct)
C. The alternative hypothesis
D. The sample mean
11: A confidence interval is a range of values that:
A. Represents the population mean with 100% certainty
B. Provides a measure of how much the sample data varies
C. Includes the true population parameter with a certain level of confidence (Correct)
D. Represents the range of values in the sample
12: Which statistical test should be used to determine if there is a relationship between two categorical variables, such as gender and academic achievement?
A. Independent samples t-test
B. Chi-square test (Correct)
C. Pearson correlation
D. One-way ANOVA
13: What is the purpose of a null hypothesis in inferential statistics?
A. To establish a hypothesis that is opposite to the research hypothesis
B. To provide a baseline for comparison and determine if there is enough evidence to reject it (Correct)
C. To ensure the researcher's hypothesis is always correct
D. To simplify the statistical analysis
14: The effect size in inferential statistics measures:
A. The likelihood of committing a Type I error
B. The strength and magnitude of the relationship between variables
C. The variability within the sample data
D. The probability of finding a significant result (Correct)
15: Which of the following statements about statistical power is correct?
A. A low statistical power increases the likelihood of a Type II error (Correct)
B. Statistical power is not relevant in inferential statistics
C. Statistical power is determined by the sample size alone
D. A high statistical power decreases the likelihood of a Type I error
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Inferential statistics in Education MCQs
