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Numeracy and Data Analysis

   

Added on  2023-01-11

8 Pages1335 Words256 Views
Numeracy and Data
Analysis
Numeracy and Data Analysis_1
Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Arranging selected data into a table format:................................................................................3
Presentation of chosen data through multiple graphs:.................................................................3
Calculations and discussion/review on following aspects:..........................................................5
Linear forecasting model which is y = mx + c in attempt to do below presented calculations:..6
CONCLUSION................................................................................................................................8
Numeracy and Data Analysis_2
INTRODUCTION
Numeracy applies to explaining and integrating basic numerical principles. The basic
skills for numeracy require learning basic mathematics including additions, subtractions,
multiplications as well as dividing. While the data analysis, method / tactic of collection and
configuration of data / raw information is being used to allow researchers to derive meaningful-
data from it. The main object of data analysis phase is to concentrate in a few simple words on
what data wants to suggest (Dryden and Mardia, 2016). The report highlights different aspects of
the data analysis and application of statistical techniques. The report includes the number of
hours of sleep per day for ten consecutive day for the application of statistical methods such as
median, mean-average, mode, SD as well as the data display in various graphs. In addition, the
11th and 15th hours of sleep per day is estimated using linear model.
MAIN BODY
Arranging selected data into a table format:
Date Day Number of hours of sleep per day
10-May Sunday 7
11-May Monday 8
12-May Tuesday 5
13-May Wednesday 8
14-May Thursday 5
15-May Friday 4
16-May Saturday 6
17-May Sunday 10
18-May Monday 8.5
19-May Tuesday 9.5
Presentation of chosen data through multiple graphs:
Column Chart: Bar charts seem to be similar to the line charts because they contain 2 axes and
are helpful to reflect how something has shifted over a certain time frame, in particular when
shifts are crucial.
Numeracy and Data Analysis_3

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