.Question 1A data analyst uses the SMART methodology to create a question that encourages change. In the SMART methodology, how is this question type described? 1 pointMotivational TransitionalAction-orientedResults-focused2.Question 2What is prioritized when asking a specific SMART question? Select all that apply.1 pointFocusing on a single topic or a few closely related ideasEnsuring the question is significantKeeping the question simpleAsking about the era, phase, or period involved3.Question 3A data analyst working for a coffee roaster is writing questions for a customer experience survey. One of the questions asks, “Do you prefer online or in-store?” Then, they rewrite it to ask, “Do you prefer purchasing coffee beans through our online marketplace or by shopping at our retail store?” Why is this a more effective question?1 pointThe first question is leading, whereas the second question could have many different answers.The first question contains slang that might not make sense to everyone, whereas the second question is easily understandable.The first question is closed-ended, whereas the second question encourages the respondent to elaborate.The first question is vague, whereas the second question includes important context.4.Question 4A data team at a high-tech company writes questions for a focus group. They use common abbreviations such as PLS for “please” and LMK for “let me know.” A supervisor then suggests spelling everything out in order to ensure the questions are fair. What are they trying to achieve?1 pointWriting questions that do not make assumptionsAvoiding leading people to a particular responsePresenting questions with straightforward wordingAsking irrelevant questions

Question 8The SMART methodology can be used to ask a question that promotes change. What type of SMART question leads to change? 1 pointAction-orientedMotivationalTransformationalResults-focused

Question 4What tasks may occur during the ask step of the data analysis process? Select all that apply.1 pointDetermine whether something needs to be fixedProperly maintain a databaseCommunicate with stakeholdersUse the five whys

Question 3A data analyst determines whether there are any patterns in a dataset. What phase of analysis is the analyst in?1 pointGet input from othersOrganize dataFormat and adjust dataTransform data

Question 3Fill in the blank: In data analytics, a question is _____.1 pointan obstacle or complication that needs to be worked outa way to discover informationa subject to analyzea topic to investigate

OverviewNow that you have been introduced to the SMART framework for asking questions, pause to apply what you are learning. In this self-reflection, you will consider the questions you would ask in a specific scenario. This self-reflection will help you develop insights into your own learning and prepare you to apply your knowledge of the SMART question framework to your own data investigations. As you answer questions—and come up with questions of your own—you will consider concepts, practices, and principles to help refine your understanding and reinforce your learning. You’ve done the hard work, so make sure to get the most out of it: This reflection will help your knowledge stick!The scenarioYou are three weeks into your new job as a junior data analyst. The company you work for has just collected data on their weekend sales. Your manager asks you to perform a thorough exploration of this data. To get this project started, you must ask some questions and get some information.SMART questionsAs a refresher, SMART questions are:Specific: Questions are simple, significant, and focused on a single topic or a few closely related ideas.Measurable: Questions can be quantified and assessed.Action-oriented: Questions encourage change.Relevant: Questions matter, are important, and have significance to the problem you’re trying to solve. Time-bound: Questions specify the time to be studied.Next, you will use the SMART framework to ask effective questions about the scenario above. Then, you will reflect on the topics your SMART questions should address.Ask the right type of questionsYou can apply the SMART framework to all types of questions. The type of questions you ask can help you explore deeper with your data. Consider the ways your questions help you examine objectives, audience, time, security, and resources.Some common topics for questions include: ObjectivesAudienceTimeResourcesSecurityThink about how you can ask SMART questions about each of these topics.ReflectionConsider the scenario above:Based on the SMART framework, which questions are most important to ask? How will these questions clarify the requirements and goals for the project?How does asking detailed, specific questions benefit you when planning for a project? Can vague or unclear questions harm a project?Now, write 2-3 sentences (40-60 words) in response to each of these questions