Data mining is the extraction of knowledge and data patterns from various raw data sets by examining patterns from various raw data sets by examining trends and business reports used for classification of data and prediction of the data set. Give an example of an actual or potential application of big data or data mining in a marketing organization. Describe how the application meets the criteria of being big data or data mining.

Q: How does a process performance index differ from a process capabilit

A: Process performance index , is a statistical tool to verify if the sample that have generated from…

Q: Technology firms such as Google, Facebook, Samsung, and Microsoft have begun to invest heavily in…

A:

Q: Many research studies have been conducted to examine how different organizations are on implementing…

A: We have to find probability, expected value and standard deviation for the discrete variable.

Q: Describe two ways economists try to forecasts developments in the economy

A: * An economic forecast is a process of trying to predict a future economic situation using a…

Q: How is raw data analysed?

A: Raw data usually refers to data tables where each row contains an observation, and each column…

Q: Many research studies have been conducted to examine how different organizations are on implementing…

A: We have to find out the probabilities using values given table.

Q: write down the method of data collection from primary and secondary sources

A: Solution : Method of data collection from primary and secondary sources : 1) Primary Data :…

Q: Interpreting large datasets is a necessary yet difficult challenge in most of the data science…

A: Answer is mentioned below

Q: How does the purpose of the research study affect the data analysis techniques selected?

A: Introduction - Data analysis - The process of data analysis uses analytics and logical reasoning to…

Q: Qualitative Data Which is placed into categories whose order is meaningless comes under which scale?

A: Introduction: Scales of measurement: Nominal: When the possible observations are tags or categories…

Q: Interpreting large datasets is a necessary yet difficult challenge in most of the data science…

A: Let A be a square matrix and λ be an eigenvalue of matrix A. The eigenvector V of matrix A is…

Q: What are the major categories of business analytics Select all that apply. O A. Predictive analytics…

A: There are most 3 Major Categories of Business analytics. Descriptive Analytics Predictive Analytics…

Q: Statistical information about the data can be helpful in making efficient query plan. True or False?

A: Given: The statement, Statistical information about the data can be helpful in making efficient…

Q: Explain Multiperiod Forecasts? what are the methods for making multiperiod forecasts?

A: Multiperiod forecast: A multi-period-ahead forecasting model.  Let yt denote a time series that is…

Q: Predictive analytics should be compared and contrasted with prescriptive and descriptive analytics.…

A: Predictive analytics can be defined as the term that refers to the use of statistics and…

Q: What does a researcher attempt to do when constructing an "analysis story" to go with the results of…

A: Research: Research is the thoughtful reflection of a study concerning a particular interest or…

Q: Explain the concept of Unbiasedness?

A: Unbiasedness states that there is no bias. If the statistics are not an underestimation or…

Q: The Centers for Disease Control and Prevention Office on Smoking and Health (OSH) is the lead…

A:

Q: Manipulating data or analyses to artificially get a significant result is called

A: Given the term... Manipulating data or analyses to artificially get a significant result is called

Q: Explain the difference in how VAR Models are used in performing forecasting and how they are used in…

A: The difference in how VAR Models are used in performing forecasting and how they are used in…

Q: What is a cross tabulation? How are cross tabulationsuseful to analyze and interpret data

A: There are many methods to analyze data. Data can be efficiently reported quantitatively to…

Q: Give an example of an actual or potential application of big data or data mining in a organization.…

A: Examples of data mining or big data: Marketing in an industry.

Q: 3. Interpreting large datasets is a necessary yet difficult challenge in most of the data science…

A: I am going to solve the given problem by using some simple algebra to get the required result.

Q: Describe the procedure for defining a variable and rules for data codingin SPSS.

A: The procedure for defining a variable in SPSS are as follows: 1) The first step is to click on the…

Q: The problem facing a manager is to assess the impact of factors on full-time (FT) job growth.…

A: The independent variables are Total worldwide revenues, FT voluntary Turnover. The dependent…

Q: What is Meta-analysis?

A: A meta-analysis is a survey in which the results of the studies included in the review are…

Q: Explain, using illustrations, how descriptive analytics, diagnostic analytics, predictive analytics,…

A: Descriptive analytics are the analytics who interpret the past data of the business and make…

Q: Consider  a business owner, how would you use methodology and the data results to increase sales or…

A: Linear Regression:Linear regression is a method used to establish a relationship between the…

Q: The index of leading economic indicators, compiled and published by the U.S. National Bureau of…

A: given  indicator 2000 2018 weight unemployment (%) 5.3 6.8 0.20 Country stocks 265.88 362.26…

Q: variables and data. In your own words, explain and describe them with appropriat

A: Variables: The value of the data is modified and the name does not change and is called a variable.…

Q: The 2016 Global Information Security Workforce Study(GISWS) surveyed information security…

A: Given: 28% of women indicated that their opinions are not valued. 47% of women that feel undervalued…

Q: Give me an example of a scientific study of the bug tracking system and extract the methodological…

A: A bug tracking system is an application that lets you keep track of bugs (and often suggestions) for…

Q: What is the difference between the types of data 1- categorical data, 2- numerical data, with an…

A: In statistics, various types of data are studied. There are two types of data that are mainly…

Q: Which are the ultimate tools that are being brought in business analytics?

A: 1. Sisense 2. Zoho Analytics

Q: Explain the most useful methods of data presentation from a manager's point of view in order to make…

A: note : Hi! Thank you for the question, As per the honor code, we are allowed to answer one question…

Q: What is the purpose of a research question? Select all that apply. To provide an avenue to sum the…

A: Research questions are questions that are created with the explicit goal of gathering information…

Q: What is business analytics? Briefly describe the domain of the major fields of business analytics…

A: Business Analytics :- Business analytics, a data management solution and business intelligence…

Q: Does data reduction and balancing the target variable eliminate skewness?

A: In AI, while building an order model with information having undeniably a bigger number of cases of…

Q: How can graphics and/or statistics be used to misrepresent data?

A: Graphical representation or statistical data can be misleading or misrepresented. Some statistics…

Q: “The Rule of 40”, a principle according to which software company’s combined “Revenue growth rate”…

A: The data is given by:   Rule of 40, (x) Market Capitalization (y) $125 $424 $132 $514 $143…

Q: Distinguish between Research methods and Research methodology.

A: The research method accounts for all those methods, which a researcher employs to conduct a research…

Q: Interpreting large datasets is a necessary yet difficult challenge in most of the data science…

A: Let A be a square matrix and λ be an eigenvalue of the matrix A. The corresponding eigenvector V of…

Q: “The Rule of 40”, a principle according to which software company’s combined “Revenue growth rate”…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts.  In case…

Q: Examination of large data sets to uncover hidden patterns is often referred to as:    Data…

A: It is an important part of statistics. It is widely used.

Q: Define deseasonalisation of data.

A:

Bar Graphs

A bar graph is a chart or graphical representation of data. A bar chart, also known as a bar graph, is a graph or chart that displays categorical data using rectangular bars with heights or lengths equal to the values they represent. Typically, bar graphs show categorical and numerical variables grouped in class intervals. A bar graph is useful for comparing and analyzing a set of data.