Term project part III Statistics Example | Topics and Well Written Essays - 750 words

Term part III - Statistics Project ExampleSimilarly, businesses allow come to a tie-up if the shame rate is high in the city. This sketch leave alone therefore in nominate the police subdivision and other relevant bodies involved in combating crime on the measures that are needed to be undertaken in order to mitigate crime rate in the cities.Since the study seeks to relationship between city crime rate and the number of render forces in those cities or any other variable, the city dwellers will form a desired representative sample population for the study. This means that the city dwellers will form the crisscross population for this particular study. So as to obtain a representative sample, the population will stop all the adults over 18 years old regardless of gender, race or place telephone line of the respondents.Since it is not possible to interview all the city dwellers, a random sample of 400 participants will be selected. A systematic random sampling will be used to select the participants into the study. That is, the study will identify 8 cities of interest from which 50 respondents will be drawn. The entropy set will be obtained from the FBI and topical anaesthetic city websites. Questionnaire will be the main tool to be used in collecting the views of the people.The variables of interest in this case will be crime rate (dependent variable) and explanatory variables (number of uniformed forces, mean income per year, education level and population size). Each data set for every variable was sourced from websites of local city and FBI. The data set for education level variable was obtained from this website www.census.gov/Descriptive statistics, particularly histogram, was used to learn each variable. The histograms presented below, by visualization, show that all the data set followed a normal distribution (the data set is normal). From the all the histograms below, most of the observations were around the mean at least for each variable. This concentration of