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MCQs | Big Data Analytics – Descriptive Analytics

Big Data Analytics | Descriptive Analytics MCQs: This section contains the Multiple-Choice Questions & Answers on Big Data Analytics - Descriptive Analytics with explanations.
Submitted by IncludeHelp, on December 30, 2021

1. Descriptive analytics answers the question, "What happened?"

  1. True
  2. False

Answer: A) True

Explanation:

When it comes to descriptive analytics, it answers the question, "What happened?" When analyzing current and historical data, descriptive analytics is used to detect trends and relationships between variables. It is frequently referred to as the most basic form of data analysis because it only describes patterns and associations and does not delve further into the data.


2. Descriptive analytics is a statistical method that is used to search and summarize ____ in order to identify patterns or meaning.

  1. Account data
  2. Historical data
  3. Financial data
  4. None of the mentioned above

Answer: B) Historical data

Explanation:

It is a statistical strategy that searches and summarizes historical data in order to uncover patterns or meaning. In this study, we conduct a reflective analysis of learner data with the goal of providing insight into past patterns of behavior and performance in online learning environments.


3. _____ are two techniques used in descriptive analytics to discover historical data.

  1. Data ingestion and data mining
  2. Data warehouse and data storage
  3. Data aggregation and data mining
  4. All of the mentioned above

Answer: C) Data aggregation and data mining

Explanation:

Data aggregation and data mining are two strategies that are used in descriptive analytics to obtain historical information about a given set of variables. Before any analysis can begin, data is gathered and sorted according to data aggregation in order to make the datasets more manageable for analysts. Data mining is the next phase in the analysis process, and it entails searching through large amounts of data in order to find patterns and meaning. The patterns that have been identified are next evaluated in order to determine the exact methods in which learners engaged with the learning content and within the learning environment.


4. Amongst which of the following is / are the examples of descriptive analytics,

  1. Traffic and Engagement Reports
  2. Financial Statement Analysis
  3. Demand Trends and Aggregated Survey Results
  4. All of the mentioned above

Answer: D) All of the mentioned above

Explanation:

Examples of descriptive analytics include traffic and engagement reports, financial statement analysis and demand trends, and aggregated survey results. Descriptive analytics can be used to track progress toward achieving objectives. Reporting on progress toward key performance indicators can assist our team in determining whether or not their efforts are on track and whether or not adjustments are required.


5. Descriptive analytics is the most common and fundamental form of analytics that companies use.

  1. True
  2. False

Answer: A) True

Explanation:

Descriptive analytics is the most widely used and essential type of analytics in business today. Companies utilize descriptive analytics in a variety of areas of their operations to determine how well they are performing and whether or not they are on track to meet their business objectives. Business leaders and financial specialists monitor popular financial measures created by descriptive analytics, such as quarterly increase in sales and expenses, to determine their effectiveness.


6. Descriptive analytics uses simple Math's and statistical tools, such as arithmetic, averages and percent,

  1. True
  2. False

Answer: A) True

Explanation:

When compared to predictive and prescriptive analytics, descriptive analytics makes use of simple mathematical and statistical methods such as arithmetic, averages and %, rather than the complicated computations required by predictive and prescriptive analytics. In order to convey findings, visual tools such as line graphs, pie charts, and bar charts are used.


7. Teradata refers accuracy and confidence in business decision making,

  1. True
  2. False

Answer: A) True

Explanation:

A strong foundation of descriptive analytics built on flexible data architecture; Teradata Take is a must-have tool. It improves the precision and confidence with which business decisions are made. Predictive and prescriptive analytics are two types of advanced analytics that are made possible by this technology.


8. The weight of a machine is a,

  1. Discrete variable
  2. Quantitative variable
  3. Qualitative variable
  4. Superlative variable

Answer: B) Quantitative variable

Explanation:

A variable is a characteristic that can take different values. A variable can be defined as an object that includes some fluctuating number those changes depending on the time, location, and person it is encountered. Variables can be either categorical or numerical in nature, for example, disease stage, age, height, weight, and temperature are all examples of categorical variables.


9. The data which have already been collected by someone is called _____ data.

  1. Primary data
  2. Secondary data
  3. Quantitative data
  4. Qualitative data

Answer: B) Secondary data

Explanation:

As part of organizational record keeping, existing data created by large government institutions, healthcare facilities, and other organizations is used. The information is then pulled from a larger number of data files.


10. Amongst which of the following is not a descriptive statistic?

  1. t-test
  2. mean
  3. standard deviation
  4. range

Answer: A) t-test

Explanation:

Inferential statistics such as the t-test are used to assess whether or not there is a statistically significant difference between the means of two groups that are connected in some characteristics. In order to evaluate statistical significance, a t-test takes into consideration the t-statistic, the t-distribution values, and the degrees of freedom. An analysis of variance must be used in order to run a test with three or more mean values.


11. Amongst which of the following is / are true with reference to hypothesis?

  1. A statement that the researcher wishes to put to the test using the information gathered during a study.
  2. A research question that will be answered as a result of the findings.
  3. A theory that serves as the foundation for the research.
  4. the application of statistics to determine the extent to which the outcomes could have been caused by chance

Answer: A) A statement that the researcher wishes to put to the test using the information gathered during a study.

Explanation:

It is an assumption that is made on the basis of evidence that has been obtained, which is known as a hypothesis. Each and every investigation begins with this step, because it is at this point that the research questions are translated into a prediction. Numerous components are involved, including variables, the general population, and the interaction between the variables. It is referred to as an experimental hypothesis when a research hypothesis is used to study the relationship between two or more variables.


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