Week 1

What is one of the benefits of using statistics in identifying at-risk populations?

• To increase crime rates

• To identify who is most at risk of offending

• To eliminate all risks

• To predict economic trends

Why is it important to use statistics to identify at-risk populations?

• To ignore crime rates

• To target early intervention programs

• To increase victimization

• To reduce data collection

What is one of the benefits of using statistics in evaluating programs?

• To increase the number of programs funded

• To identify which interventions work and which do not

• To ensure all programs receive equal funding

• To eliminate the need for program evaluations

Why is it important to use statistics in decision-making for funding programs?

• To improve cost efficiencies and avoid funding harmful programs

• To ensure all programs are equally funded

• To increase the number of funded programs

• To reduce the need for program evaluations

Which type of research focuses on numerical data and statistical analysis?

• Qualitative Research

• Quantitative Research

• Descriptive Research

• Inferential Research

What is the primary difference between descriptive and inferential statistics?

• Descriptive statistics predict future outcomes.

• Inferential statistics summarize data.

• Descriptive statistics summarize data.

• Inferential statistics are not based on data.

What is the purpose of a research question?

• To provide a summary of the research

• To guide the research process

• To analyze statistical data

• To design the research methodology

Which of the following is a component of research design?

• Data collection methods

• Statistical analysis

• Research questions

• Literature review

What is the primary focus of quantitative research?

• Gathering non-numerical data

• Understanding opinions and experiences

• Gathering quantifiable data and performing statistical techniques

• Analyzing concepts

What does qualitative research primarily involve?

• Performing mathematical techniques

• Collecting and analyzing non-numerical data

• Gathering quantifiable data

• Systematic investigation of phenomena