Data Classification And Data Handling

Data Classification.

Data Classification
Data Classification
Please respond to the following:
  1. Assess the main policy elements governing Data Classification and data handling in organizations to ensure that data remain protected at rest and in transit.
  2. Describe the methods that organizations can implement to ensure that data remains protected at

Data handling is the process of ensuring that research data is stored, archived or disposed off in a safe and secure manner during and after the conclusion of a research project.

This includes the development of policies and procedures to manage data handled electronically as well as through non-electronic means.

Classification enables the separation and classification of data according to data set requirements for various business or personal objectives.

It is mainly a data management process.

Contingency Table; Examining Data

Contingency Table.

Contingency Table
Contingency Table

I have a Contingency Table provided from SPSS with all information in it and also i have a perfect lecture slides where clearly explains step by step what to do and also i will provide you with sample essays.

What i want to do is to test hypothesis with chi square formulas and report it as it said in lecture slides and also i need an Appendix with step by step explanation how you calculate the conclusion.

Note: I only need contingency table part from”contingency table docx.” Others are instructions and samples.

Normal Distributions; Statistics Expert

Normal Distributions.

Normal Distributions
Normal Distributions

In this portfolio project, you will be collecting a set of data and
analyzing the characteristics of the Normal Distributions. Provide yourself with plenty of time to complete step 1.

Part 1

Collect a set of data with at least 30 data points. The data should be quantitative, which means that it should be measured using numbers.

You can be as creative as you’d like, but here are some suggestions for things that you can survey;
  • the heights of a large number of people
  • number of pages in a set of books on a bookshelf
  • the number of hits earned by different professional baseball players in a season
Part 2

Create a visual representation of your data. If the data is continuous, use a histogram. If the data is discrete, use a bar graph.

Make sure to label the axes with appropriate titles and incorporate the appropriate scale on each axis.

Part 3
Respond to the following questions.

1. What are the mean and standard deviation of the set of data?
2. Does the data follow a normal distribution? Be sure to mathematically justify your answer.
3. Answer one of the following questions.
a. If your sample follows a normal distribution, does this makes sense to you? Explain why.

If your sample does not follow a normal distribution (e.g., it could be skewed left or right, have a uniform distribution, or have some other shape), then why might this be the reason?

4. Describe your survey process. What are some sources of possible bias in your sample? Alternatively, what did you do to ensure a random sample?

5. What is a set of data that you would like to study in the future? How could you go about ensuring an unbiased random sample?


Make sure to submit your data set from Part 1, your histogram or bar graph from Part 2, and your responses to the questions in Part 3.