Đề 14 – Bài tập, đề thi trắc nghiệm online SPSS

A A. Scale B B. Nominal C C. Ordinal D D. Continuous

A A. To predict the value of a dependent variable. B B. To reduce the number of variables by identifying underlying factors. C C. To compare means across different groups. D D. To test the reliability of a scale.

A A. The predicted value of the dependent variable. B B. The intercept of the regression line. C C. The standardized slope of the regression line, indicating the change in standard deviations of the dependent variable for a one standard deviation change in the independent variable. D D. The p-value of the independent variable.

A A. Data is always perfectly complete. B B. Participants refused to answer certain questions. C C. SPSS automatically fills in missing data. D D. Missing data only occurs in very large datasets.

A A. To sort cases B B. To create a new variable by performing calculations on existing variables C C. To filter cases D D. To change variable names

A A. Spearman's rho B B. Chi-square C C. Pearson's r D D. Kendall's tau

A A. The variable represents categories with no order. B B. The variable represents categories with a meaningful order. C C. The variable represents continuous data with equal intervals and a true zero point (Ratio) or without a true zero point (Interval). D D. The variable is used for nominal data only.

A A. To remove outliers from the dataset. B B. To adjust the influence of cases in the analysis based on a weight variable. C C. To sort cases by weight. D D. To calculate the average weight of cases.

A A. When the sample size is very large B B. When the data is normally distributed C C. When the assumptions of parametric tests are violated (e.g., non-normality) D D. When you want to increase statistical power

A A. Independent Samples T-test B B. Paired Samples T-test C C. ANOVA (Analysis of Variance) D D. Correlation

A A. To sort cases alphabetically B B. To choose a subset of cases for analysis based on certain criteria C C. To merge datasets D D. To identify duplicate cases

A A. Word processing B B. Statistical analysis C C. Web browsing D D. Database management

A A. To delete variables B B. To change the order of variables C C. To create new variables based on existing ones, keeping the original variable D D. To rename variables

A A. To define the data type of a variable. B B. To assign descriptive labels to the numerical codes of categorical variables. C C. To set the width of a variable column. D D. To specify missing values for a variable.

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

A A. 'Split File' filters cases, while 'Select Cases' analyzes data in subgroups. B B. 'Split File' divides the dataset into groups for separate analyses, while 'Select Cases' temporarily excludes cases from the analysis. C C. 'Split File' is used for merging files, while 'Select Cases' is for splitting files. D D. There is no difference; they perform the same function.

A A. Syntax is only available in the graphical user interface. B B. Learning syntax requires understanding command language, which can be initially challenging. C C. Syntax cannot be used for complex statistical analyses. D D. Syntax is less reproducible than using the menus.

A A. The null hypothesis is likely true. B B. The alternative hypothesis is likely false. C C. There is strong evidence against the null hypothesis. D D. The sample size is too small.

A A. A variable B B. A case or observation C C. A data type D D. A statistical procedure

A A. Mean B B. Median C C. Mode D D. Variance

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

A A. Test-retest reliability B B. Inter-rater reliability C C. Internal consistency reliability D D. Predictive validity

A A. To view data in a spreadsheet format B B. To define variables and their properties C C. To write and execute SPSS commands directly D D. To display output results

A A. Data entry B B. Variable definition C C. Displaying statistical results and charts D D. Writing syntax commands

A A. No correlation between the variables. B B. A strong negative correlation. C C. A strong positive correlation. D D. A weak positive correlation.

A A. T-test B B. ANOVA C C. Chi-square test D D. Correlation

A A. To compare means between groups B B. To test for relationships between variables C C. To obtain descriptive statistics and frequency tables for variables D D. To perform regression analysis

A A. Independent Samples T-test B B. Paired Samples T-test C C. One-Way ANOVA D D. Correlation

A A. Paired Samples T-test B B. Independent Samples T-test C C. ANOVA D D. Correlation

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