How important is discrete mathematics for a Data analysis?

Q: ic model for the data?

A: hrs vehicles 9 A.M 6.2 11 A.M 7.4 1 P.M 7.5 3 P.M 6.6 5 P.M 3.9 The quadratic…

Q: Explain the term Continuous Quantitative Data?

A: Continuous data is Quantitative data. Continuous Quantitative data is which can be measured or…

Q: *Why is data preparation important to the analysis process and why not being a good steward of the…

A:

Q: To what extent do data and information have an impact on one another?

A: A data can be raw or grouped, with some pro and cons associated with both of them. The raw data has…

Q: how are parameters and statistics related?

A: Parameter: The parameter is used to explain the entire population. For example, a teacher calculated…

Q: Explain the assumptions are needed to calculate the various inferential statistics of linear…

A: The assumptions needed for inferential statistics of linear Regression is  The dependent variable…

Q: Explain in detail how Chebyshev’s Inequality/Theorem can be used to in data science to interpret a…

A: Introduction A dataset is a collection of data which can be in a form of table. Let CI denote…

Q: What is quantitative data and what does it have to do with discrete data and continuous data?

A: In this question we will know about quantitative data

Q: What does Qualitative data consist of?

A: Qualitative data: Qualitative data is defined as the data that categorize or classify the…

Q: Why Bayesian modelling and  analysis over others?

A: Bayesian modelling finds the best out of the uncertainty. Every state in the models is assigned a…

Q: How should we analyze the data?”

A: Once the data is rightly collect there  are several  processes to be  for data Analysis in…

Q: Identify six problems that can arise in data collection for a regression analysis.

A:

Q: Highlight the precautions for use of secondary data

A: The objective of this question is to understand the precautions that need to be taken while using…

Q: How is raw data analysed?

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

Q: Chi Square tests are used to analyze qualitative data such as opinions, observations or surveys and…

A: Chi-Square Tests: Definitions and Examples Chi-Square Goodness of Fit Test Definition: The…

Q: Statisticians are often called upon to develop methods to predict one variable from other variables.…

A: Regression analysis estimates the effect that changing one independent variable has on the…

Q: Define Data Reduction?

A: Introduction A data can be in a form of text, observations, images, numbers, figures, graphs or…

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: What are some common methods used in data analysis and statistics, and how are they used to gain…

A: It is given that the common methods used for data analysis and statistics used for gaining the…

Q: The quadratic model for the given data is wrong.

A: By using regression to find a quadratic model for the given data. x 0.6 0.7 2.6 4.7 5.3 y -5.6…

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: What are the advantages and disadvantages of quantitative and qualitative data?

A: The quantitative research process canbe easily as it depends upon the measurement,quantity. Some of…

Q: Identify and discuss the several aspects of univariate analysis.

A: Univariate analysis is the simplest form of analyzing a data.

Q: Two-dimension coding of quantitative data in charts is not the best practice? True or false?

A: Quantitative coding is the process of categorizing the collected non-numerical  information…

Q: True or False: A data set will always have exactly one mode. ..... Choose the correct answer below.…

A: follow next step

Q: 1. Discuss the advantages and limitations of graphic presentation of data

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

Q: What are various ways to collect data?

A: The raw data collected from the multiple sources for the first time is called primary data. The data…

Q: What is the difference in quantitative discrete data and quantitative continuous data?

A: Given problem Quantitative discrete data : Quantitative discrete data is the data having the…

Q: why is analzing the relationship between two variables considered a crucial step in data analysis/

A: Decoding Correlations: We can delve deeper by understanding whether a relationship exists between…

Q: True or False: If you are asked to describe the type of data represented by distances from gas…

A: Given that  The type of data represented by distances from gas stations to your home

Q: Explain what a dummy variable is and how it is used in regression analysis

A:

Q: Describe why a. data description using graphical methods sometimes is not sufficient b. measures of…

A: Here we have to describe,  a. Why the graphical methods sometimes is not sufficient? b. Why measures…

Q: Indicate that they are qualitative and quantitative data, give 2 specific examples and indicate when…

A: To give examples of qualitative and quantitative data and provide the definition

Q: Define Multiple Regression?

A: Regression It is used to describe connection between a response variable and one or more regressors

Q: research study was conducted at a local college collecting data on the models (brands) of cars…

A: we have to find correct option.

Q: In both qualitative and quantitative research, how do we present the data?

A: The data may come from a population or from a sample. Small letters like x, y represent the data…

Q: Provide a reason why the classication of data is important.

A: In this case, we need to find the reason for the importance of data classification.