1.Question 1A restaurant is struggling to accurately staff for the different daily customer volumes. On some days, there are many servers and few customers. On other days, the restaurant is very busy and there are not enough servers and kitchen staff. What reports could a data analyst use to create more efficient staffing strategies? Select all that apply.1 pointAnalyze staffing levels for different daysReports using historical sales data to predict sales for the current day/dateReports of past and future reservations Reports of planned local events in the area of the restaurant2.Question 2A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. A data analyst could help solve this problem by analyzing how many doctors and nurses are on staff at a given time compared to the number of patients with appointments.1 pointTrueFalse3.Question 3In data analytics, what is the term for an obstacle to be solved?1 pointIssueProblemSolutionQuestion4.Question 4Data analysts answer questions and solve problems. These are called business tasks. 1 pointTrueFalse5.Question 5Fill in the blank: Data-driven decision-making is described as using _____ to guide business strategy.1 pointintuitionvisualizationsfactsgut instinct6.Question 6At what point in the data analysis process should a data analyst consider fairness?1 pointWhen decisions are made based on the conclusionsWhen conclusions are presentedWhen data collection beginsWhen data is being organized for reporting7.Question 7When reviewing student data, a data analyst calculates course pass rates across the entire student population in two ways: once for students in academic support programs and once for students not utilizing academic support. What would be an example of a factor creating a bias in this example?1 pointPicking and choosing data from the data setConsidering systemic issues that may influence dataNot accounting for opportunities to utilize support programsEnsuring a large enough sample size is used
Question
1.Question 1A restaurant is struggling to accurately staff for the different daily customer volumes. On some days, there are many servers and few customers. On other days, the restaurant is very busy and there are not enough servers and kitchen staff. What reports could a data analyst use to create more efficient staffing strategies? Select all that apply.1 pointAnalyze staffing levels for different daysReports using historical sales data to predict sales for the current day/dateReports of past and future reservations Reports of planned local events in the area of the restaurant2.Question 2A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. A data analyst could help solve this problem by analyzing how many doctors and nurses are on staff at a given time compared to the number of patients with appointments.1 pointTrueFalse3.Question 3In data analytics, what is the term for an obstacle to be solved?1 pointIssueProblemSolutionQuestion4.Question 4Data analysts answer questions and solve problems. These are called business tasks. 1 pointTrueFalse5.Question 5Fill in the blank: Data-driven decision-making is described as using _____ to guide business strategy.1 pointintuitionvisualizationsfactsgut instinct6.Question 6At what point in the data analysis process should a data analyst consider fairness?1 pointWhen decisions are made based on the conclusionsWhen conclusions are presentedWhen data collection beginsWhen data is being organized for reporting7.Question 7When reviewing student data, a data analyst calculates course pass rates across the entire student population in two ways: once for students in academic support programs and once for students not utilizing academic support. What would be an example of a factor creating a bias in this example?1 pointPicking and choosing data from the data setConsidering systemic issues that may influence dataNot accounting for opportunities to utilize support programsEnsuring a large enough sample size is used
Solution
Sure, here are the answers to your questions:
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All of the options can be used by a data analyst to create more efficient staffing strategies. Analyzing staffing levels for different days, using historical sales data to predict sales for the current day/date, reports of past and future reservations, and reports of planned local events in the area of the restaurant can all contribute to a more efficient staffing strategy.
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True. A data analyst could help solve the problem of patients waiting longer for their appointments by analyzing the number of doctors and nurses on staff at a given time compared to the number of patients with appointments.
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In data analytics, an obstacle to be solved is referred to as a "Problem".
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True. Data analysts answer questions and solve problems, which are indeed called business tasks.
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Data-driven decision-making is described as using "facts" to guide business strategy.
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A data analyst should consider fairness when data collection begins.
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Not accounting for opportunities to utilize support programs could be an example of a factor creating a bias in this example.
Similar Questions
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Question 2A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. A data analyst could help solve this problem by analyzing how many doctors and nurses are on staff at a given time compared to the number of patients with appointments.1 pointTrueFalse
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