Why should a data analyst focus on sample size during the data collection process? Select all that apply.1 pointTo reduce the amount of calculations required in the analysisTo avoid a small sample size leading to inaccurate judgementsTo make sure the data represents a diverse set of perspectives To determine how much storage that they’ll need

Question 7When collecting data for a study, what are some reasons to consider sample size? Select all that apply.1 pointTo include as many participants as possible in the studyTo collect data that represents a diverse set of perspectivesTo make sure a few unusual responses don’t skew resultsTo eliminate certain segments of a population

Question 5Data analysts focus on sample size to make sure they have enough data so that a few unusual responses don’t skew the results.1 pointTrueFalse

Question 5A data analyst collects a large amount of data for their project to ensure that the data represents a diverse set of perspectives. What element of data collection does this describe?1 pointStatistical significanceData cleaningSample sizeVisualization

How does a researcher determine the appropriate sample size for a quantitative study?  A. By choosing the smallest possible sample size  B. By conducting a thorough literature review  C. By considering the research budget and time constraints  D. By using statistical formulas and power analysis

s it always necessary to use a large sample in a study? Reflect for a moment on when a study might need to use many participants, and when a study might not need to use many participants. Which of the four big validities does the number of participants address?