Introduction To Statistical Software Flashcards
What is the primary purpose of using statistical software in research?
1) To automate data collection
2) To simplify the calculation and interpretation of statistics
3) To generate graphs for publication without any manual input
4) To collect qualitative data from participants
To simplify the calculation and interpretation of statistics
Which statistical software is mentioned in the document for data analysis?
1) Python and R
2) SPSS and Jamovi
3) Excel and Google Sheets
4) Matlab and SAS
SPSS and Jamovi
What is the mean, as used in descriptive statistics?
1) The most frequently occurring value in a dataset
2) The middle value in an ordered dataset
3) The sum of all values divided by the number of values
4) The range between the highest and lowest values
The sum of all values divided by the number of values
What does standard deviation (SD) measure?
1) The midpoint of a dataset
2) The spread of scores around the mean
3) The difference between the maximum and minimum scores
4) The total sum of squared deviations
The spread of scores around the mean
What should be reported alongside the mean when summarizing a dataset?
1) The sample size and standard deviation
2) The median and mode
3) Only the total sum of scores
4) The range and interquartile range
The sample size and standard deviation
What is a key guideline for reporting descriptive statistics?
1) Always round to the nearest whole number
2) Report values to two decimal places
3) Use more decimal places for larger datasets
4) Include raw SPSS tables in the report
Report values to two decimal places
What is the first step in analyzing data using SPSS?
1) Create visual graphs
2) Import the dataset and define variable types
3) Interpret the output tables
4) Generate a histogram
Import the dataset and define variable types
Why should SPSS tables not be pasted directly into lab reports?
1) They lack sufficient detail for publication
2) They are not formatted for academic or professional reporting
3) They are only intended for exploratory analysis
4) They are difficult to understand without additional context
They are not formatted for academic or professional reporting
What type of output is SPSS best known for generating?
1) Complex 3D visualizations
2) Detailed tables and graphs for inferential statistics
3) Textual explanations of statistical methods
4) Interactive dashboards
Detailed tables and graphs for inferential statistics
What statistical measure was used to compare the mean ages of medalists in the document?
1) Median
2) Standard deviation (SD)
3) Variance
4) Interquartile range (IQR)
Standard deviation (SD)
What is the correct format for reporting the results of a statistical test in text?
1) Include all decimals and raw data
2) Report the mean, SD, and relevant test statistics with two decimal places
3) Provide only the p-value for the test
4) Copy and paste the output table into the results section
Report the mean, SD, and relevant test statistics with two decimal places
What is NOT a feature of Jamovi as discussed in the document?
1) Running specific analyses
2) Interpreting output tables
3) Saving raw data outputs
4) Generating graphs for statistical reports
Running specific analyses
Why is it important to save SPSS files and outputs?
1) To directly use them in the lab report
2) To ensure reproducibility and revisit analysis if needed
3) To include them in the methods section
4) To calculate descriptive statistics manually
To ensure reproducibility and revisit analysis if needed
What is an example of poor practice in reporting statistical results?
1) Saving the SPSS files for future reference
2) Reporting descriptive statistics with two decimal places
3) Copying SPSS graphs into the main body of a report
4) Reporting mean and SD for participant demographics
Copying SPSS graphs into the main body of a report
What transferable skill does using statistical software provide?
1) Enhancing collaboration with software developers
2) Advanced programming skills
3) Competence in analyzing and interpreting statistical data efficiently
4) Mastery of manual statistical calculations
Competence in analyzing and interpreting statistical data efficiently