this is my part A

0.8 v 06 f 0z l I| ' 0.2 o .[. ||| il Answer: - Overview and Description of the Dataset: The dataset includes temperature readings from 1981 to 2010 for the months of March, April, and May. The source of the information is (Measuring climate change Working in Excel. (2023, June 05). Retrieved from hitps://iwww.core-econ.org/doin ;) economics/book/text/01-02.html.) It contains annual temperature readin springtime months. or various - Research Question: Over the years (1881-2010), how have the temperatures in March, April, and May changed? v - Description of the Target Population and Sample: The spring temperatures for the designated months (March, April, and May) for various years over the stated time period (1981-2010) comprise the target populaticn for this dataset. The temperature data for these months in every year between 1981 and 2010 make up the sample. - Variables and Measurement Level: Changeable: Years: Categorical (nominal) v v @ r \\ April, March, and May Temperatures: Continuous numerical numbers, either interval or ratio. - The drawbacks of using secondary data include: n A possible drawback of utilizing secondary data is the absence of comprehensive context concerning the temperature recording and measuring techniques used. Furthermore, { @ possible mistakes or inconsistencies in the initial data collection procedure could affect the dataset's accuracy. - Excel's Visual Representation: For graphical depictions of the temperature patlerns in March, April, and May over time, please refer to the Excel file that is attached. To show the fluctuations in temperature for each month from 1981 to 2010, line graphs have been made. WSUIC Staristics for Academic Purposes Report Part A Page 3 af 4 'March', 'April', 'May' by "Year' ittt \" 1581 1983 1985 1987 1989 1951 1993 1995 1997 1999 2001 2003 2005 2007 2009 Year !/E) mMarch = April 3y Temperature values for March, April, and May a ADril a May - Conclusion and Interpretation: It is clear from examining the graphs that the temperatures for March, April, and May vary from year to year. Variability in seasonal temperature trends is indicated by certain years having greater or lower temperatures than others. Additional statistical analysis may shed more light on any trends or pattems that occurred during this time