Question 1:
Which data analysis technique is used to summarize and describe the main characteristics of a dataset?
Explanation: The correct answer is C) Descriptive statistics. Descriptive statistics is a data analysis technique used to summarize and describe the main characteristics of a dataset. It includes measures such as mean, median, mode, standard deviation, and range, which provide insights into the central tendency, dispersion, and shape of the data.
Question 2:
Which data analysis technique is used to explore the relationship between two or more variables?
Explanation: The correct answer is C) Correlation analysis. Correlation analysis is a data analysis technique used to explore the relationship between two or more variables. It measures the strength and direction of the linear association between variables, indicating how changes in one variable are related to changes in another variable.
Question 3:
Which data analysis technique is used to test the significance of a research hypothesis?
Explanation: The correct answer is A) Hypothesis testing. Hypothesis testing is a data analysis technique used to test the significance of a research hypothesis. It involves formulating a null hypothesis and an alternative hypothesis, collecting and analyzing the data, and using statistical tests to determine whether the observed results provide evidence to accept or reject the null hypothesis.
Question 4:
Which data analysis technique is used to predict or estimate the value of a dependent variable based on one or more independent variables?
Explanation: The correct answer is B) Regression analysis. Regression analysis is a data analysis technique used to predict or estimate the value of a dependent variable based on one or more independent variables. It helps in understanding the relationship between variables, determining the strength of the association, and making predictions or identifying trends in the data.
Question 5:
Which data analysis technique is used to identify groups or clusters within a dataset based on similarities or patterns?
Explanation: The correct answer is D) Cluster analysis. Cluster analysis is a data analysis technique used to identify groups or clusters within a dataset based on similarities or patterns. It helps in understanding the natural grouping of data points and can be used for segmentation, classification, or pattern recognition tasks.
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