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Numeracy and Data Analysis: Statistical Analysis and Linear Forecasting Model

   

Added on  2023-06-09

9 Pages1424 Words404 Views
Numeracy and Data
Analysis
Numeracy and Data Analysis: Statistical Analysis and Linear Forecasting Model_1
Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
1. Arrange the data in a table format...........................................................................................3
2. Present the data using any two types of charts of your choice. Example: Column chart, line
chart, bar chart, scatter plot etc....................................................................................................4
3. Calculate the mean, median, mode, range and standard deviation also provide steps for
calculation....................................................................................................................................5
4. Calculate the value of 'm' and 'c' and show the steps followed. Using the values of 'm' and 'c'
values, forecast the temperature for day 11 and day 14..............................................................6
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9
Numeracy and Data Analysis: Statistical Analysis and Linear Forecasting Model_2
INTRODUCTION
The concepts are a part of descriptive statistics and a crucial concept that is used in data pre-
processing steps. The report below, shows the temperature of Liverpool, UK in 10 consecutive
days. A table is prepared with the daily temperature with their bar and line graphs. Next, the data
has been analysed using the measures of central tendency i.e. mean, median, mode, range and
standard deviation. Lastly, the linear forecasting model has been used to calculate future
temperatures of the city after calculating the values of 'm' and 'c' (Merkelbach and et.al., 2022).
MAIN BODY
1. Arrange the data in a table format.
DAY TEMPERATURES
1 14
2 15
3 15
4 16
5 20
6 18
7 17
8 16
9 18
10 20
Total 169
Numeracy and Data Analysis: Statistical Analysis and Linear Forecasting Model_3

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