1. The first step for a researcher after finishing data collection is to start hypothesis testing procedures.

1. True
2. False

2. A researcher should explore the characteristics of the data and the examined variables to summarise the data once data is clean and ready for investigation.

1. True
2. False

3. One of the important considerations in preliminary analysis is to look for patterns in the data and to check if any specific variable looks extremely erratic.

1. True
2. False

4. Descriptive statistics are mathematical techniques which are used make inferences about the population of interest based on data collected from a representative sample.

1. True
2. False

5. Blunders are errors made in transferring the manual data onto software for analysis during data entry or coding.

1. True
2. False

6. Preliminary analysis through descriptive summaries can be used to portray frequency of responses for each of the key study variables through tables of visual charts.

1. True
2. False

7. Different data types command the use of similar analysis techniques, whereby statistical methods for analysing categorical data can also be used for continuous data.

1. True
2. False

8. Criteria that can be used to assess the best statistical technique to employ for examining a phenomenon and testing hypothesis include (please select the answer that DOESN’T apply) ______.

1. the number of variables to be analysed
2. the type of variables
3. techniques the researcher prefers to use
4. the purpose of the analysis

9. Bivariate statistical methods analyse any number of variables and can offer different types of inferences, whereas multivariate statistical techniques analyse two variables at a time.

1. True
2. False

10. Univariate analysis, through one-way frequencies and descriptive statistics, offer a good understanding of variables, but only individually.

1. True
2. False

11. Parametric statistical techniques underscore stringent assumptions regarding the distribution of data for the population under study.

1. True
2. False

12. Parametric statistical techniques are best used to analyse categorical data.

1. True
2. False

13. Non-parametric statistics are less sensitive than parametric statistics, whereby they may not detect significant relationships or differences when they actually exist.

1. True
2. False

14. Parametric statistics permit the analysis of small data samples.

1. True
2. False

15. In using any non-parametric statistical tools, assumptions must be checked first to ensure they are not violated.

1. True
2. False

16. Independent t-tests and compares data about (please select the ONE answer that applies) ______.

1. two distinct groups of different (independent) respondents
2. three distinct groups of different (independent) respondents
3. multiple distinct groups of different (independent) respondents

17. To investigate relationships, bivariate correlation analysis can be used when the analysis involves two continuous variables.

1. True
2. False

18. Multiple regression analysis enables an understanding of a set of DVs for their ability to explain variance in the IV.

1. True
2. False

19. Regression analysis has stringent assumptions that must be checked before running the tests to ensure they are not violated towards achieving a good regression model.

1. True
2. False

20. It is likely that with large samples even minor differences/relationships may appear to be statistically significant so the researcher must interpret the results in perspective to reflect the real theoretical/practical significance of findings.

1. True
2. False