Question 8A large hotel chain sees about 500 customers per week. A data analyst working there is gathering data through customer satisfaction surveys. They are anxious to begin analysis, so they start analyzing the data as soon as they receive 50 survey responses. This is an example of what? Select all that apply.1 pointFailing to collect data anonymouslyFailing to have a large enough sample sizeFailing to reward customers for participating in the surveyFailing to include diverse perspectives in data collection

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

2. In the methodology section, it's important to mention the survey's sample size, sampling method, and any limitations.*1 pointTRUEFALSE

Question 7A data professional in customer service is tasked with identifying customers who are at risk for taking their business to a competitor. In the analyze phase of the data analysis process, what activities might this involve? Select all that apply.1 pointPrepare a report for the stakeholdersFormat the data to filter for low customer satisfaction scoresRequest input from other customer service data professionalsOrganize a dataset by customer and purchase history

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

In “A day in the life of a Data Analyst”, what are some of the data points that were useful in analyzing the use case. (Select all that apply)1 pointAverage billing amount of complainantsAge and education details of complainantsSerial number of the metersEmployment history of the complainants