HCR- Statistics (DB)

INSTRUCTIONS: Answer 5 of the following questions. Your total response should be at least 300 words.Be sure to use at least 2 references for your response. You must also respond to 2 peers by the due date. Your response must be more than "I agree". You must add to the discussion. Please answer 5 of the questions, you can choose. I will respond to my peers. 1.What is the difference between descriptive and inferential statistics? How do they complement each other in research? 2.Why is it important for researchers to understand basic statistical concepts and methods? 3.How would you explain the concept of probability to someone who has never encountered it before? 4.Discuss the role of measures of central tendency (mean, median, mode) in summarizing data. When might each measure be most appropriate to use? 5.Can you provide examples of nominal, ordinal, interval, and ratio scales of measurement? How does the choice of scale impact the statistical analysis? 6.Explain the concept of correlation and causation. Why is it important for researchers to be cautious when interpreting correlations? 7.What are some common types of sampling techniques used in research? What are the advantages and disadvantages of each? 8.Discuss the importance of hypothesis testing in research. What are the key steps involved in hypothesis testing? 9.What is the difference between a population and a sample in statistics? How do researchers use samples to make inferences about populations? 10.How do researchers determine whether the results of a study are statistically significant? What factors can influence statistical significance?