Data-Driven Decision-Making Assignment Updated Questions And Answers

Data-Driven Decision-Making ASS=GNMENT UPDATED QUEST=ONS AND ANSWERS =n which stage of the Davenport-Kim model is problem recognition? framing the problem =n which stage of the Davenport-Kim model is data collection? solving the problem What is a key reason we study statistics? to make informed decisions Visually presenting the data assists in which stage of the Davenport-Kim model? Communicating the results When does research fail to produce reliable results? Poor research validity What are the two major issues surrounding research standards? best practices and ethics To be a statistically valid sample, the sample must be: appropriate size and random Not selecting a random sample is what type of bias? measurement Not selecting a right-sized sample is what type of bias? measurement Research best practices eliminate...bias Outliers create this type of error out of range Unpredictable error random error-no correlation The error may occur from missing data. (Example: Space not filled in) Omission Error - Distorted results This error repeats itself Systematic Error - Skewed results Observation points that are distant from other observations. Outliers Note: Can be included or excluded in analysis (causes skewness) Types of Bias: Bias that occurs from not selecting a random sample Measurement bias Types of Bias: