“What is the predicted rainfall my garden will receive this Spring?” will be the question investigated.Below is the statistics for rainfall for each month of the years of 2014-2017. Use the data to explore therelationship between month and rainfall. This data was collected from the Perth Metro Weather station.Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec2014 0.2 0.0 7.4 24.6 152.6 93.6 151.2 107.0 77.0 37.0 23.8 0.02015 18.6 23.4 15.6 54.0 83.8 100.4 102.4 113.0 52.0 20.6 20.4 13.62016 15.2 0.6 16.8 68.2 112.0 109.4 139.6 123.2 68.8 37.4 14.4 10.22017 45.4 137.2 23.6 0.0 70.8 88.0 172.6 151.6 77.4 42.0 4.8 40.6Source: bom.gov.au,http://www.bom.gov.au/jsp/ncc/cdio/weatherData/av?p_nccObsCode=139&p_display_type=dataFile&p_startYear=&p_c=&p_stn_num=009225STATISTICAL INVESTIGATION PROCESS INVESTIGATION QUESTIONHow can I predict the rainfall at my house this September? DATA COLLECTION [1 mark]Explain why the data given in the table above is secondary data.Why would I expect the data collected from BOM to be accurate?Is there sufficient data for accurately answering the investigation question?Give 3 ways the selection of data be improved? DATA REPRESENTATION [1 mark]Represent this data using a suitable graph. Label the graph appropriately.

 DATA COLLECTION

The data given in the table above is considered secondary data because it was not collected first-hand by the person conducting the research. Instead, it was gathered by another party, in this case, the Perth Metro Weather station, and is being used for a purpose different from the one it was originally collected for.

The data collected from BOM (Bureau of Meteorology) is expected to be accurate because BOM is a reputable and professional organization that specializes in meteorological data collection. They use advanced technology and scientific methods to collect and analyze weather data.

While the data provided gives a good overview of the rainfall patterns over the past few years, it may not be sufficient for accurately predicting the rainfall this September. This is because weather patterns can be influenced by a variety of factors and can change from year to year.

The selection of data could be improved by:

1. Including more recent data: The data provided only goes up to 2017. Including data from 2018 to the present would give a more current understanding of rainfall patterns.
2. Including data from more locations: The data provided is only from the Perth Metro Weather station. Including data from other weather stations in the area could provide a more comprehensive picture of rainfall patterns.
3. Including more specific data: The data provided only includes total monthly rainfall. Including data on daily rainfall, temperature, humidity, and other weather factors could provide a more detailed understanding of weather patterns.

 DATA REPRESENTATION

To represent this data, a line graph would be suitable. The x-axis would represent the months and years (e.g., Jan 2014, Feb 2014, etc.), and the y-axis would represent the amount of rainfall in millimeters. Each year could be represented by a different colored line. The graph should be labeled appropriately with a title (e.g., "Rainfall in Perth Metro 2014-2017"), and labels for the x-axis ("Month and Year") and y-axis ("Rainfall (mm)").