MCQs

Disclaimer:

Educational Use Only:

The website links provided are to be used strictly for educational and knowledge-gaining purposes only.

No Misuse:

Do not misuse the links or the information contained therein for any commercial, illegal, or unethical activities.

Respect for Websites and Businesses:

Respect the intellectual property and business interests of the websites and their owners. Do not attempt to alter, copy, or redistribute content without proper authorization.

Acknowledge Value of Knowledge:

Recognize and value the knowledge and resources shared by these websites. Use the information responsibly and ethically.

No Endorsement:

The provision of these links does not imply endorsement of the linked sites, their content, or their products and services. Users are responsible for evaluating the suitability and accuracy of the information.

User Responsibility:

By accessing these links, you agree to use the information at your own risk and to comply with all applicable laws and website terms of use.

Overall MCQs for Reference

Which of the following is NOT a non-parametric test?
a. Kruskal-Wallis test
b. Wilcoxon signed-rank test
c. Mann-Whitney U test
d. One-way ANOVA
Answer: d. One-way ANOVAtestbook+2
Non-parametric tests are generally used when:
a. Data is normally distributed
b. Population variance is known
c. Data is ordinal or not normally distributed
d. Sample size is very large
Answer: c. Data is ordinal or not normally distributedtestbook+1
Which non-parametric test is used to compare two related samples?
a. Kruskal-Wallis test
b. Wilcoxon signed-rank test
c. Mann-Whitney U test
d. Chi-square test
Answer: b. Wilcoxon signed-rank testaskfilo
The Mann-Whitney U test is the non-parametric equivalent of which test?
a. Paired t-test
b. Chi-square test
c. Independent t-test
d. ANOVA
Answer: c. Independent t-testitfeature+1
What is the main assumption of non-parametric tests?
a. Data must be normal
b. No specific data distribution required
c. Data is ratio or interval
d. Large sample sizes only
Answer: b. No specific data distribution requiredbyjus+1
The Wilcoxon signed-rank test can be used for:
a. One nominal variable
b. Paired ordinal data
c. Unpaired continuous data
d. Frequency data
Answer: b. Paired ordinal dataitfeature
When is the Kruskal-Wallis test most appropriate?
a. Comparing means of two groups
b. Comparing proportions
c. Comparing more than two independent groups
d. Testing for linearity
Answer: c. Comparing more than two independent groupsaskfilo+1
The Chi-square test is commonly used for what type of data?
a. Nominal
b. Ordinal
c. Interval
d. Ratio
Answer: a. Nominalyoutubebyjus
Which of these is a rank-based non-parametric test for correlation?
a. Pearson correlation
b. Spearman’s rank correlation
c. Linear regression
d. Chi-square
Answer: b. Spearman’s rank correlationfaculty.ksu+1
Non-parametric tests are usually ______ compared to parametric tests.
a. Less robust
b. Less powerful
c. More accurate
d. More restrictive
Answer: b. Less powerfulstudocu+1
The sign test is used to test:
a. Variances
b. Medians
c. Means
d. Standard deviations
Answer: b. Mediansitfeature
What is NOT a benefit of non-parametric tests?
a. Flexibility with data types
b. Robustness to outliers
c. More precise parameter estimation
d. Less restrictive assumptions
Answer: c. More precise parameter estimationtestbook+1
The Friedman test is a non-parametric equivalent of:
a. One-way ANOVA
b. Two-way ANOVA
c. Repeated measures ANOVA
d. Z-test
Answer: c. Repeated measures ANOVAitfeature
Which test is designed for small sample sizes and ordinal data?
a. t-test
b. F-test
c. Non-parametric tests
d. Regression
Answer: c. Non-parametric testsbyjus
Non-parametric tests are suitable when data:
a. Is derived only from normal populations
b. Does not fulfill parametric assumptions
c. Is always continuous
d. Has equal intervals
Answer: b. Does not fulfill parametric assumptionstestbook+1
What is the null hypothesis for a Mann-Whitney U test?
a. The two samples have equal variances
b. The two samples are from identical populations
c. The medians are different
d. The means are equal
Answer: b. The two samples are from identical populationsitfeature+1
Which is NOT a characteristic of non-parametric tests?
a. Can handle outliers
b. Require normality
c. Can use ordinal data
d. Are distribution-free
Answer: b. Require normalitybyjus+2
Which non-parametric test is suitable for comparing paired ordinal data samples?
a. Mann-Whitney U test
b. Fisher’s exact test
c. Wilcoxon signed-rank test
d. Z-test
Answer: c. Wilcoxon signed-rank testaskfilo+1
Which test determines the association between two categorical variables?
a. Chi-square test
b. Spearman’s correlation
c. Regression
d. ANOVA
Answer: a. Chi-square testyoutubebyjus
The main advantage of non-parametric tests is:
a. They require fewer assumptions
b. They are always more powerful
c. They require large samples
d. They estimate population parameters precisely
Answer: a. They require fewer assumptionstestbook+1
When sample sizes are extremely small, which type of test is recommended?
a. t-test
b. Non-parametric test
c. F-test
d. Z-test
Answer: b. Non-parametric testbyjus+1
The Kolmogorov-Smirnov test is used for:
a. Checking data normality
b. Comparing means
c. Testing for homogeneity of variances
d. Analyzing time series
Answer: a. Checking data normalityfaculty.ksu+1
Which of the following statements is true about non-parametric tests?
a. They cannot use ordinal data
b. They are always less accurate
c. They do not rely on population parameters
d. They require large samples
Answer: c. They do not rely on population parameterstestbook+1
The “runs test” is used to determine:
a. Randomness in data sequence
b. Mean differences
c. Variance equalities
d. Normality
Answer: a. Randomness in data sequenceitfeature
Which test is appropriate for comparing proportions in categorical data?
a. Chi-square test
b. Paired t-test
c. ANOVA
d. F-test
Answer: a. Chi-square testyoutubebyjus
What does a non-parametric test use instead of mean values?
a. Ranks
b. Variance
c. Confidence intervals
d. Covariance
Answer: a. Ranksitfeature+1
Which test is also called the rank-sum test?
a. Mann-Whitney U test
b. Fisher’s exact test
c. Z-test
d. ANOVA
Answer: a. Mann-Whitney U testitfeature
Which scenario best warrants using a non-parametric test?
a. Large, interval data
b. Normally distributed, continuous data
c. Ordinal data with unknown distribution
d. Known population mean
Answer: c. Ordinal data with unknown distributionbyjus+1
Which test checks for differences across more than two independent samples of ordinal data?
a. Kruskal-Wallis test
b. Wilcoxon test
c. t-test
d. ANOVA
Answer: a. Kruskal-Wallis testaskfilo+1
The term “distribution free” suggests:
a. Test results depend on normality
b. No assumptions about population distribution
c. Only for categorical data
d. Only for interval data
Answer: b. No assumptions about population distributionaskfilo+1
In testing for correlation for non-parametric data, use:
a. Pearson correlation
b. Spearman’s rank correlation
c. Regression analysis
d. Z-test
Answer: b. Spearman’s rank correlationfaculty.ksu+1
In non-parametric testing, data is often transformed into:
a. Scores
b. Ranks
c. Percentiles
d. Probabilities
Answer: b. Ranksitfeature+1
When would a Sign test be preferred over a t-test?
a. When data are interval and normal
b. When sample size is large
c. When data are ordinal or not normal
d. When data are continuous and normal
Answer: c. When data are ordinal or not normalaskfilo+1
Which test is NOT non-parametric?
a. Wilcoxon test
b. Mann-Whitney U
c. Fisher’s exact test
d. Z-test
Answer: d. Z-testbyjus+1
Non-parametric methods are an alternative to parametric methods when:
a. Data is always nominal
b. Parametric assumptions fail
c. Data is always normal
d. Only population mean is known
Answer: b. Parametric assumptions failtestbook+1
Which of the following is used to test independence in a contingency table?
a. Z-test
b. Chi-square test
c. t-test
d. ANOVA
Answer: b. Chi-square testyoutubebyjus
The main purpose of using non-parametric methods is to:
a. Analyze interval data
b. Address unknown or small sample data
c. Check covariance
d. Perform linear regression
Answer: b. Address unknown or small sample datatestbook+1
Which is a limitation of non-parametric tests?
a. Too many assumptions
b. Less statistical power
c. Require normal data
d. Applicable only to nominal data
Answer: b. Less statistical powerstudocu+1
The Wilcoxon rank-sum test requires:
a. Paired data
b. Independent samples
c. Only interval data
d. Only normal data
Answer: b. Independent samplesaskfilo+1
The Kruskal-Wallis test assumes:
a. Normality
b. Homoscedasticity
c. No assumption of distribution
d. Constant mean
Answer: c. No assumption of distributionbyjus+1
Which is not true for the Chi-square test?
a. Compares means
b. Tests frequencies
c. Analyzes categorical data
d. Non-parametric
Answer: a. Compares meansyoutubebyjus
A “distribution-free” test is another name for which test type?
a. Parametric
b. Non-parametric
c. Descriptive
d. Inferential
Answer: b. Non-parametricitfeature+1
The Friedman test is used for:
a. Comparing two independent samples
b. Repeated measures with three or more groups
c. Testing nominal data
d. Only for normal data
Answer: b. Repeated measures with three or more groupsitfeature+1
Which test is most suitable for very small sample size and ordinal data?
a. Kruskal-Wallis
b. T-test
c. Sign test
d. Z-test
Answer: c. Sign testaskfilo+1
The null hypothesis for a non-parametric test generally assumes:
a. Population variances unequal
b. No difference in central tendency
c. Normal data
d. Equal means
Answer: b. No difference in central tendencytestbook+1
Which of the following is NOT often a step in non-parametric analysis?
a. Ranking data
b. Testing normality
c. Calculating mean and SD
d. Comparing ranks
Answer: c. Calculating mean and SDbyjus+2
Non-parametric tests are:
a. More sensitive to outliers
b. Unaffected by distribution
c. Only for large samples
d. Always more accurate
Answer: b. Unaffected by distributionitfeature+1
In which case is a non-parametric test not recommended?
a. Large, normally distributed interval data
b. Small sample, skewed data
c. Ordinal data
d. Non-normal distribution
Answer: a. Large, normally distributed interval datatestbook+1
The median test is used to:
a. Compare medians of two or more groups
b. Correlate two variables
c. Compare variances
d. Analyze time series
Answer: a. Compare medians of two or more groupsitfeature+1
Non-parametric tests are most suitable for which type of scale?
a. Interval
b. Ratio
c. Ordinal and nominal
d. Only ratio
Answer: c. Ordinal and nominalbyjus+2

Blog

Systemethic Technologies

Leave a Reply Cancel reply

Useful links

Other Terms & Policies

Contact Info