The determination of whether the significant departure of temperaturefrom its average requires an understanding of various conditions andfactors that could have resulted in the change. In the casepresented, there is a change from the average 60 to a record 70.Descriptive statistics could be used to explain why there is adifference in the temperatures. Additional information that could beapplicable in the case regards the concept of factors that may haveled to a shift in the overall temperatures (Cao, Ewing, &Thompson, 2012). For example, it could be mandatory to have anunderstanding of the cloud cover of the region at the time when thetemperature readings were taken (Choi, Kim, Jung, Kim, & Park,2014). Also, information such as aspect about the direction of thesun may be vital in helping describe why there is a significantchange in the temperature (Intergovernmental Panel on Climate Change,2014). Descriptive statistics could be essential in helping explainthe significant changes in temperature.
However, in understanding the concept better, it could be crucial toelaborate the phenomena using descriptive statistics. The independentvariable would be the temperatures. The dependent variable includesthe cloud cover and aspect (Cools, & Creemers, 2013). A change incloud cover has an impact in influencing the temperature on the givenday. Similarly, aspect affects the temperature readings taken on agiven day (Summerfield, 2014). The two variables are employed inexplaining the variations in temperature from the average of 60 to arecord high of 70. The scale of measurements applied is nominal andordinal. Temperature readings are recorded numerically, while thecloud cover and aspect measurements are observed. However, it isessential to assume factors such as the location, humidity and thedays of the year (Rosenzweig, & Udry, 2014). An assumption of thefact that there is no change in latitude is crucial sincetemperatures are taken for the particular location.
Cao, Q., Ewing, B. T., & Thompson, M. A. (2012). Forecasting windspeed with recurrent neural networks. European Journal ofOperational Research, 221(1), 148-154.
Choi, S. J., Kim, E. B., Jung, W. S., Kim, B. J., & Park, J. K.(2014). Analysis of Utilization and Perception of Special WeatherReports for Climate Change Adaptation: Focus on Dryness Advisory andWarning. Journal of Environmental Science International,23(6), 1121-1130.
Cools, M., & Creemers, L. (2013). The dual role of weatherforecasts on changes in activity-travel behavior. Journal ofTransport Geography, 28, 167-175.
Intergovernmental Panel on Climate Change. (2014). Climate Change2014–Impacts, Adaptation and Vulnerability: Regional Aspects.Cambridge University Press.
Rosenzweig, M. R., & Udry, C. (2014). Rainfall forecasts,weather, and wages over the agricultural production cycle. TheAmerican Economic Review, 104(5), 278-283.
Summerfield, M. A. (2014). Global geomorphology. Routledge.