STATISTIC essays

STATISTIC essays The first variable analyzed was Race. Races level of measurement was nominal. For this case there were no missing cases, and 149 valid cases. 57% of the cases were white, more than half. Whites had the highest frequency of 85. The next frequency was blacks with 55. While Latino, Asian, Native American, and other frequencies totaled 9. The second variable was Status of Air Quality. Most agreed frequency of 51, that the air quality was poor. This represents 34.2% of the population. The next highest frequency was 47. These people believed the air quality is average or fair. However 52.9% of the population believes the air quality is average, good, or very good. Six people did not care three were not available and 3 did not care. This is an ordinal level of measurement. The last variable was Tenure in city. This is an interval ratio level of measurement variable. The highest year of living in the city was 80. However only 1 person dwelled in the city for this long of a period. The highest frequency was 10, who answered living in the city 5 years. Each variable went deeper into thought. The first variable was just listed, but the second was ranked. The third variable had the largest set of numbers. This is not a good study to represent the city because only 149 cases were used. The nominal variable represents the Respondent Sex. 788 valid cases were made and 0 were missing. 327 of those cases were males. This means men represented 41.5%, and women 58.5%. The pie chart was used because this is an easy graph for people to understand. The ordinal variable measurement represents the variable Political Party Identification. The opinion were ranked in the most frequent was not strong democrat, 153. The second highest frequency was 148, not strong republican. Only 8 or 1% was neither democrat, independent, or republican. The Democratic Party however had the largest representation of 363. The last variable, highest year o...