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- Subject
- Statistics Mcqsstatistics-mcqs
- Published
- 6 Jul 2021
- Last updated
- 28 May 2026
Explanation
In hypothesis testing, alpha (type I error) and beta (type II error) represent different types of errors and their probabilities do not add up to one. Therefore, the statement that alpha plus beta equals one is incorrect.
More Statistics Mcqs
Practice related questions from the same subject.
- 1.What type of data is typically represented by a histogram?
- 2.If the volume is given by V = x³, which geometric figure does this volume correspond to?
- 3.What does the term 'statistics' refer to when used in the plural form?
- 4.In stratified sampling, how should the strata be organized?
- 5.What is true if events A and B are mutually exclusive?
- 6.What is the relationship between two events that cannot occur at the same time?
- 7.What is the preferred characteristic of a confidence interval?
- 8.What does a confidence interval primarily represent?
Subcategories
- Basic Statistics Mcqs
- Binomial And Hyper-geometric Probability Mcqs
- Chart and Graph
- Confidence Intervals and Estimation
- Correlation and Regression Mcqs
- Data Classification, Tabulation and Presentation
- Hypothesis Testing
- Index Number
- Introduction to Probability
- Introduction to Statistics
- Measures Of Dispersion
- Measures Of Location
- Measures of Central Tendency
- Normal Distribution
- Presentation Of Data
- Probability Distributions
- Probability Mcqs
- RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS
- Sample Linear Regression Mcqs
- Sampling Distributions
- Sampling Mcqs
- Skewness, Kurtosis and Moments
- Statistical Inference Mcqs