Gramling Business Analytics Practice Exam

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• What is analytics defined as in relation to businesses solving their problems?
• What type of distribution would you expect if the data peaks around the center with symmetrical tails?
• Which of the following best describes predictive analytics?
• Which term describes a sample that includes random selection from a defined population?
• Which analysis technique helps understand the relationship between variables?
• What is meant by “data silos”?
• A person's telephone area code is an example of which data type?
• In the context of data collection, what best defines an outlier?
• What is defined as a subset of observations in a population?
• What impacts can poor data governance have on a company?
• In statistical terms, if a survey captures data from a specific group, what is this group called?
• Define "machine learning" in relation to business analytics.
• What is a data lake?
• What do data visualization tools primarily help users to do?
• What role does hypothesis testing play in analytics?
• How can customer segmentation improve marketing strategies?
• Which of the following is the correct definition of Data Values for a graph?
• What does statistical significance indicate in research analysis?
• What is the function of a decision tree in analytics?
• What is the function of a dashboard in business analytics?
• What is the purpose of predictive modeling?
• If Walmart's survey questions are biased in wording, which type of bias occurs?
• In qualitative data analysis via content analysis, the term for the number of observations within each category is referred to as what?
• When data is collected from a product sample randomly chosen from predefined groups, this is known as which type of sampling?
• Why is cross-validation important in predictive modeling?
• What does data mining entail?
• What does the statement "Please fill out the following questionnaire. It will take you 15-20 minutes" primarily describe in a consent form?
• What is the significance of user personas in analytics?
• What is a cohort analysis?
• How can regression analysis be used in business analytics?
• Which of the following is an essential component of a data-driven culture?
• By restructuring a question to allow multiple responses, what bias is avoided in data collection?
• What kind of sampling might lead to a lack of generalizability due to only using easily accessible data?
• What is predictive analytics primarily used for?
• Define "business intelligence."
• What does A/B testing involve?
• When random numbers are assigned from a range and used to select a sample, what sampling method is being employed?
• What is the primary goal of conducting a SWOT analysis?
• What does a heat map visualize in business analytics?
• What are the three main types of business analytics?
• Which of the following describes a benefit of visualizing data?
• What is the primary goal of business analytics?
• An example of qualitative data for Stitchfix to collect is a clothing size such as small, medium, and large. This is an example of what data type?
• If the goal is to sample all registered voters across the United States while minimizing bias, which sampling method is best?
• Explain "time series analysis" in business analytics.
• Which of the following describes an outcome of effective social media analytics?
• Why is it important to set clear objectives in business analytics?
• What defines sentiment analysis?
• What is a KPI dashboard?
• If Amazon wants to ensure that customers' responses to an online survey are confidential and the sampling method is unbiased, which approach should be taken?
• Which of the following statements is true about predictive analytics?
• Which of the following is NOT a type of business analytics?
• What is the focus of data ethics in analytics?
• What is the primary use of descriptive analytics?
• What type of graph would Walmart use to show the distribution of employee numbers over the years?
• When analyzing data gathered from surveys, which quality is essential to ensure the reliability of the conclusions?
• What sampling method allows every person in a population to have the same chance of being included in a sample?
• What is the role of data visualization in business analytics?
• In business intelligence, what does ETL stand for?
• What is the primary goal of business analytics?
• What type of data would a customer review best be classified as?
• How does data mining contribute to business analytics?
• What is a cohort analysis?
• What is a common challenge faced in data collection?
• What is the main advantage of using statistical models in analytics?
• What is the purpose of time series analysis?
• Define “business intelligence” (BI).
• What is “big data”?
• The process of analyzing collected data to find trends is known as what?
• What does the term “data-driven decision making” refer to?
• Which of the following represents a qualitative variable?
• What is one challenge associated with using data lakes?
• Which of the following variables would be classified as quantitative?
• What is one advantage of using machine learning in business analytics?
• What is a significant benefit of hypothesis testing in analytics?
• What is a data warehouse?
• What is the purpose of predictive analytics in business decision-making?
• How does data aggregation help businesses?
• Walmart conducts a Cluster Random Sample from all 50 states of their employees. Which method should they use after selecting random clusters to avoid bias?
• Which graph best represents the frequency of complaints in specific categories over time?
• What term describes non-overlapping groups or similar characteristics in a population?
• What is the primary purpose of data analytics in business?
• What are key performance indicators (KPIs)?
• Which of the following is an example of a discrete variable?
• Describe the concept of "predictive modeling."
• What is an important aspect of maintaining trust in data ethics?
• What is the primary purpose of collecting a random sample from a population?
• What technique would be used to ensure model accuracy in a data set?
• When Walmart categorizes customer responses to analyze shopping experiences, what analytical method are they employing?
• Why is R² an important statistic in regression analysis?
• Describe the difference between qualitative and quantitative data.
• What type of random sampling method does Walmart use when they list all their stores based on their location and randomly select a set number from each state?
• How can forecasting impact inventory management?
• What would be defined as “actionable insights”?
• How can scenario analysis benefit decision-making?
• Why is it important to visualize data?
• What is one benefit of real-time analytics for businesses?
• Explain the term "actionable insights."
• What is the primary use of structured data within a data warehouse?
• A distribution with a significantly high number of unusually low values is known as what type of distribution?
• How is churn rate defined in business analytics?
• Which of the following analytics types uses historical data explicitly to provide actionable insights?
• For a right-skewed distribution, which statement is typically true about the mean and median?
• An identification number, such as student or customer ID, is an example of which type of variable?
• What is the outcome of conducting a simple random sample of customers from all 50 states for StitchFix?
• What sampling method employs simple random selection to ensure every individual has an equal chance of being chosen?
• How can social media analytics benefit businesses?
• What does the term “data aggregation” refer to?
• What is described by the term descriptive statistics?
• What benefit can businesses gain from well-managed data ethics?
• Which of the following is an example of prescriptive analytics?
• What is “data lineage”?
• What causes Systematic Random Sampling to be a biased sampling method?
• Descriptives refer to data that has occurred in which timeframe?
• How does clustering analysis assist businesses?
• What does statistical inference involve in the context of sampling?
• In regression analysis, what does R² signify?
• Which of the following methods is used to ensure unbiased data collection in surveys?
• Which of the following is a key concept in understanding data quality?
• How are outliers defined in data analysis?
• How is survival analysis used in business analytics?
• What aspect of data ethics helps to manage data responsibly?
• In analytics, what is the goal of data governance?
• What is a key metric in evaluating business performance?
• A researcher who uses Point of Sale data from specific Walmart stores exemplifies what type of sampling method?
• In predictive analytics, what role do algorithms play?
• What type of sampling method should StitchFix use to ensure representation from different age groups?
• Which of the following is a quantitative variable?
• Which of the following biased questions would likely lead to Measurement Error?
• What type of bias is illustrated when a person collects data by observing the flow of traffic and includes personal opinions instead of what they actually observed?
• What role does stakeholder feedback play in business analytics?
• What is one challenge of working with big data?
• What are hidden costs of poor data quality?
• What role does simulation play in business analytics?
• In what way can predictive analytics assist businesses?
• Why is data integrity crucial in analytics?
• What is the difference between qualitative and quantitative data?
• How does regression analysis help in business forecasting?
• What statistical measure would Walmart use to describe the relationship between the number of employees and their years with the company?
• Which type of sampling bias occurs when individuals provide answers they believe are desired rather than their true thoughts?
• What does a scatter plot illustrate?
• What is a recommendation system?
• In the context of data warehouses, what does structured data refer to?
• How does clustering differ from classification in analytics?
• What is a business model canvas?
• If a scatterplot shows that an increase in the number of customers corresponds with a decrease in wait time, what is the direction of the correlation coefficient?
• What is the importance of user acceptance testing (UAT) in business analytics?
• How can forecasting techniques assist in finance?
• When measuring public opinion using surveys, which approach is important for minimizing bias?
• Why is user adoption critical in analytics projects?
• What is one of the primary purposes of data visualization?
• What best defines "big data" in the context of business analytics?
• Why is it important to consider bias in data analysis?
• What is a major disadvantage of the Multi-Stage Cluster sampling method?
• Which of the following is a primary use of data visualization in business analytics?
• What is a key function of data ethics in analytics?
• How does clustering analysis function?
• What does A/B testing evaluate in business?
• Define "data integrity."
• What is a descriptive model?
• When is it appropriate to use slashes on a graph?
• Which methods are commonly used in descriptive analytics?
• What is the main benefit of using descriptive statistics?
• The salaries of a small business are graphed with many outliers in the upper range. How is this histogram described?
• Which analytic technique is used to determine customer purchasing patterns?
• Which business area benefits from understanding consumer sentiments through analytics?
• If the management of Walmart hired a third party to collect customer data and remove all customer identifiers before sending the data to management, how would the data be described?
• What indicates a positive correlation in a scatter plot?
• In conducting customer research, why is it important to avoid convenience sampling methods?
• Walmart's decision to sample only stores in the Western states leads to what type of sampling bias?
• Which role is NOT typically associated with a data analyst?
• Explain the concept of "sensitivity analysis."
• What does 'correlation' refer to in analytics?
• What is a key advantage of using machine learning in business analytics?
• How can sentiment analysis benefit brand management?
• A local store wants to find out if a new item is liked by their customers by asking the first 10 customers that enter. This is an example of what sampling method?
• Describe "root cause analysis."
• What is "data wrangling"?
• What is the significance of KPI in business analytics?
• What is a ‘heat map’?
• What advantage does A/B testing provide in analytics?
• When analyzing employee data, what does a high positive correlation indicate?
• Which statistical method is most suitable for comparing more than two groups' means?
• What does a high churn rate typically indicate about a business?
• What does SQL stand for?
• Which of the following best describes 'sampling error'?
• Which of the following tools is essential for business intelligence?
• Which of the following correlation coefficients represents the weakest relationship between two quantitative variables?
• What does marketing analytics focus on improving?
• What is "data storytelling"?
• What type of data does the variable Product represent?
• What is a common disadvantage of convenience sampling?
• Why are data warehouses beneficial for complex queries and analysis?
• What will cause Systematic Random Sampling to be biased?
• A business problem investigated by Stitchfix, identifying the top 5 occupations of their customers using only addresses and spending data, is an example of what?
• The Auburn Walmart management should use which method to collect potential employees' professional information?
• Which of the following is not one of the main types of business analytics?
• A histogram that has a long tail due to outliers in the lower portion of the dataset is known as what type of distribution?
• Social media analytics can assist in identifying what?
• What data collection method is needed for a commercial shipping company to collect information on vehicle usage?
• What type of random sampling involves selecting a starting point and then every nth individual?
• Which is not a characteristic of qualitative data?
• Which tool is commonly used for data visualization in business analytics?
• Explain the term "data governance."
• What is the concept of data storytelling?
• When selecting customers from different age groups, what type of random sampling method should StitchFix use?
• What function does data mining serve in business analytics?
• What is the purpose of data mining?
• What is the goal of trend analysis in business?
• What is a disadvantage of the Simple Random Sample (SRS) method?
• What role does a data analyst primarily play in business analytics?
• What is the purpose of a marketing analytics framework?
• How does effective data management impact decision-making?
• Which sampling method ensures that certain characteristics are represented in the sample?
• What is "predictive maintenance"?
• What is one potential outcome of using a poorly worded question in a survey?
• How do outliers influence data analysis?
• How does predictive analytics primarily function?
• In business analytics, what does the term “data governance” refer to?
• In business analytics, what does 'predictive modeling' involve?
• If a manager interprets an applicant's responses in a summary without noting the actual responses, what type of sampling bias does this represent?
• Which analytical approach is best suited for suggesting optimal actions?
• How does natural language processing (NLP) apply in business analytics?
• What does prescriptive analytics help organizations to achieve?
• Describe the role of ethics in data analytics.
• To distinguish between the "vital few" and "trivial many" causes of quality issues, which type of graph is appropriate for Walmart?
• What is a data visualization dashboard?
• What is the significance of data cleaning in analytics?
• Which sampling method would likely lead to a biased sample for StitchFix when determining customer occupations?
• When conducting research, what aspect is key to obtaining an unbiased sample?
• What information is critical for businesses to capture through social media analytics?
• What is the purpose of benchmark analysis?
• What is the main advantage of using cloud analytics?
• What does prescriptive analytics involve?
• What type of variable is defined as having no meaningful ordering or ranking of the categories?
• Which graph is most suitable for displaying the frequency of data points within equal intervals?
• Which data type describes the number of Target customers who enter the store on Saturday?
• Which of the following is a characteristic of qualitative data?
• How do businesses leverage insights obtained from social media analytics?
• Walmart noticed that as the number of employees increased, sales also increased. What type of relationship does this indicate?
• When Walmart conducts a survey where each employee has an equal chance of inclusion, what type of sample are they using?
• When conducting research, what is the primary purpose of using random sampling?
• Which correlation coefficient indicates the strongest relationship between two quantitative variables?
• What is a "data lake"?
• What type of graph should the Kia Plant use to display the frequency of defects in car door hinges comprehensively?
• Which method is most suitable for qualitative data collection?
• Which of these tools is NOT typically used for business analytics?
• What is a typical outcome of implementing business analytics?
• Which of the following tools is commonly used in business analytics?
• What is the benefit of using KPIs in a balanced scorecard?
• Which type of analytics is primarily concerned with understanding what has happened?
• Which data type best describes sales figures?
• What is a primary function of data warehouses in organizations?