Đề 7 – Bài tập, đề thi trắc nghiệm online SPSS

A A. Bar chart B B. Pie chart C C. Histogram D D. Scatter plot

A A. To predict a dependent variable from multiple independent variables B B. To compare means across multiple groups C C. To reduce a large number of variables into a smaller set of underlying factors D D. To test for differences between observed and expected frequencies

A A. Linear Regression B B. Multiple Regression C C. Logistic Regression D D. Polynomial Regression

A A. To assign labels to variable names B B. To define how missing data should be handled in analyses C C. To specify the format of data display D D. To set the width of columns in Data View

A A. .docx B B. .xlsx C C. .sav D D. .pptx

A A. Syntax Editor B B. Output Viewer C C. Data Editor - Data View D D. Variable View

A A. To assign numerical values to missing data B B. To provide descriptive text for numerical codes in categorical variables C C. To label axes in graphs D D. To define the level of measurement for variables

A A. The predicted value of the dependent variable B B. The change in the dependent variable for a one-unit increase in the independent variable in original units C C. The change in the dependent variable in standard deviations for a one standard deviation increase in the independent variable D D. The intercept of the regression line

A A. Word processing and document creation B B. Statistical analysis and data management C C. Web browsing and internet access D D. Graphic design and image editing

A A. Categories with no order B B. Ordered categories with unequal intervals C C. Ordered categories with equal intervals and a true zero point D D. Ordered categories with equal intervals but no true zero point (Interval or Ratio)

A A. Wilcoxon Signed-Rank Test B B. Mann-Whitney U Test C C. Kruskal-Wallis Test D D. Friedman Test

A A. To view the raw data values B B. To define and modify variable properties (name, type, labels, etc.) C C. To execute statistical analyses D D. To display output results

A A. To sort cases based on variable values B B. To randomly sample cases from the dataset C C. To choose a subset of cases for analysis based on specific conditions D D. To merge cases from different data files

A A. To view and edit data values B B. To run statistical analyses using a graphical interface C C. To write and execute SPSS command language D D. To display statistical output

A A. A perfect linear relationship between the dependent and independent variables B B. A high correlation between two or more independent variables C C. A non-linear relationship between variables D D. The absence of any relationship between independent variables

A A. The null hypothesis is likely true. B B. The alternative hypothesis is likely true. C C. There is no relationship between variables. D D. The sample size is too small.

A A. Ordered categories with equal intervals B B. Categories with no inherent order C C. Ordered categories with unequal intervals D D. Continuous data with a true zero point

A A. The validity of a measurement instrument B B. The reliability or internal consistency of a scale or index C C. The statistical power of a test D D. The effect size of an intervention

A A. To perform inferential statistical tests B B. To modify or create variables based on existing data C C. To visualize data graphically D D. To manage and clean data files

A A. To import data from external files B B. To recode existing variables into new categories C C. To create new variables based on transformations or calculations of existing variables D D. To filter cases based on specific criteria

A A. Paired-Samples T Test B B. Independent-Samples T Test C C. ANOVA D D. Chi-Square Test

A A. To remove cases with missing data B B. To assign different importance to different cases in analyses C C. To sort cases based on a specific variable D D. To select a subset of cases for analysis

A A. To merge multiple data files B B. To divide the data file into subgroups for separate analyses C C. To transpose rows and columns in the data file D D. To sort cases in ascending or descending order

A A. To compare means of two groups B B. To compare means of more than two groups C C. To examine the relationship between two categorical variables D D. To predict a dependent variable from an independent variable

A A. Correlation B B. Regression C C. Chi-Square Test D D. T-test

A A. To change the level of measurement of a variable B B. To modify the values of an existing variable directly C C. To create a new variable based on recoding the values of an existing variable D D. To rename variables in the dataset

A A. T-test B B. ANOVA C C. Correlation D D. Chi-Square Test

A A. Categories with no inherent order B B. Ordered categories with equal intervals C C. Ordered categories with meaningful order but unequal intervals D D. Continuous data with a true zero point

A A. Data Editor B B. Output Viewer C C. Variable View D D. Syntax Editor

A A. Graphs B B. Data C C. Analyze D D. Utilities