UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
PEARSON BTEC
LEVEL 3 EXTENDED
DIPLOMA in
Information
Technology
BIG DATA ANALYTICS - UNIT 10
ASSIGNMENT B
LEARNING AIM B - Explore the statistical software tools and techniques used
to analyze data in organizations
ASSESSOR:
ISSUE DATE: 1ST MAY 2024
HAND IN DEADLINE: 20TH MAY 2024
NAME:
STUDENT NO:
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
Introduction.....................................................................................................3
Pie Chart.......................................................................................................4
Bar chart.......................................................................................................7
Central Tendency..........................................................................................8
Grouping data...............................................................................................9
T: The Test and the Power Analysis...............................................................16
T-Test Explanation and Revision..............................................................17
Determining the Type of Test..................................................................17
Conclusion................................................................................................17
Scatter graph..........................................................................19
Evaluation......................................................................................................21
Bibliography...................................................................................................23
Introduction
As a new intern at an educational charity, I will be exploring the use of big
data and data analytics to improve programs. The charity is looking to
understand how GCSE results in England vary across different Local
Authorities and genders. I will use statistical techniques to analyze and
evaluate the data, including tabulating and visualizing the data, calculating
the central tendency, applying probability distributions, conducting
regression analysis. The findings will be in the report below, which is
accessible to stakeholders with a mathematical background, enhancing the
charity's impact on educational outcomes.
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
Pie Chart
A circular graph that has been broken into parts to reflect various data
proportions is displayed in a pie chart, a data visualisation tool. The size of
each slice will correspond to the quantity it represents, and each slice
represents a category of data. Pie charts are a popular visual data
presentation tool in business, journalism, and other areas. They help to
facilitate quick understanding of the relative proportions of distinct
categories. They are helpful in giving numerical proportions an easy-to-
understand format and in showing data analysis.
Below I will provide you with the two pie charts I made using the data set for both boys and
girls to show their performance. This is a very good method to show how much space a single
region can occupy. Pie charts can divide full data set into sections to further simplify one’s
understanding. The chart is shaped like a large round circle pie, as implied by the name pie, and
it fully shows the set of data, which is broken up into several pieces or slices. This helps to
further illustrate show each proportion and percentage for each category because of each slice
of the pie is a subcategory of the overall GCSE data set.
STUDENT |
PEARSON BTEC
LEVEL 3 EXTENDED
DIPLOMA in
Information
Technology
BIG DATA ANALYTICS - UNIT 10
ASSIGNMENT B
LEARNING AIM B - Explore the statistical software tools and techniques used
to analyze data in organizations
ASSESSOR:
ISSUE DATE: 1ST MAY 2024
HAND IN DEADLINE: 20TH MAY 2024
NAME:
STUDENT NO:
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
Introduction.....................................................................................................3
Pie Chart.......................................................................................................4
Bar chart.......................................................................................................7
Central Tendency..........................................................................................8
Grouping data...............................................................................................9
T: The Test and the Power Analysis...............................................................16
T-Test Explanation and Revision..............................................................17
Determining the Type of Test..................................................................17
Conclusion................................................................................................17
Scatter graph..........................................................................19
Evaluation......................................................................................................21
Bibliography...................................................................................................23
Introduction
As a new intern at an educational charity, I will be exploring the use of big
data and data analytics to improve programs. The charity is looking to
understand how GCSE results in England vary across different Local
Authorities and genders. I will use statistical techniques to analyze and
evaluate the data, including tabulating and visualizing the data, calculating
the central tendency, applying probability distributions, conducting
regression analysis. The findings will be in the report below, which is
accessible to stakeholders with a mathematical background, enhancing the
charity's impact on educational outcomes.
STUDENT |
, UNIT 10 BIG DATA ANALYTICS ASSIGNMENT B 14/05/2024
Pie Chart
A circular graph that has been broken into parts to reflect various data
proportions is displayed in a pie chart, a data visualisation tool. The size of
each slice will correspond to the quantity it represents, and each slice
represents a category of data. Pie charts are a popular visual data
presentation tool in business, journalism, and other areas. They help to
facilitate quick understanding of the relative proportions of distinct
categories. They are helpful in giving numerical proportions an easy-to-
understand format and in showing data analysis.
Below I will provide you with the two pie charts I made using the data set for both boys and
girls to show their performance. This is a very good method to show how much space a single
region can occupy. Pie charts can divide full data set into sections to further simplify one’s
understanding. The chart is shaped like a large round circle pie, as implied by the name pie, and
it fully shows the set of data, which is broken up into several pieces or slices. This helps to
further illustrate show each proportion and percentage for each category because of each slice
of the pie is a subcategory of the overall GCSE data set.
STUDENT |
