Statistics Help Summarize Data Essay Example | Topics and Well Written Essays - 750 words

Statistics jockstrap Summarize Data - Essay ExampleThis breeding will assist them in making decisions relating to the surmount time to advertise or provide information to the public weekdays or weekends and holidays. STATISTICS Rampell (2012) points out that on aver period men played out more time honoring television system than women. However, the main focus was on categories such(prenominal) as education level age of children weekly income employment (part-time, full-time or un employ) race and age group of the respondents. The graph shows that with the exception of the 15 to 19 years age group, the average number of hours fatigued watching television increases with age. This group spent more hours watching television on weekends and holidays than the 20 to 24 years and the 25 to 35 years age groups. The information in the graph likewise indicates the quest i. On average Black/African-Americans spent more hours watching television in 2011 than the White and Latino/Latin o groups ii. People who are employed full-time spent more hours in 2011 on weekends and holidays watching television than those who were employed on a part-time basis iii. In terms of income, individuals earning between $521 and $810 weekly watched television for a little over 3 hours per day on weekends and holidays in 2011. This accounts for the most hours spent viewing television on weekends and holidays. ... cle provides a clear picture of the number of hours spent per day watching television by different groups of individuals within the various categories. The graph summarizes a lot of information which if scripted in words would take comparatively more pages. When information is presented in this way it is easier to grasp by those who understand how to read graphs. However, there are those who do not know how to analyze this type of information and so a tabular form might collect been more appropriate. POSSIBLE IMPROVEMENTS The article could have been improved by describing the categories and providing information on whether categories are correlated. Some persons in the age groups 65 to 74 and 75 and older would most likely not be employed or be employed on a part-time basis since they would have achieved retirement age. Rampell (2012) could have established whether a blood exist between various categories. Most of these individuals might not have gone past proud school based on their individual circumstances and the time period in which they were born. Older plenty are the ones who are least likely to have children in their households that are under the age of 18, unless they are living in households with grandchildren. Additionally, Rampell could have carried out tests to determine if the differences that exist, especially between the income groups are statistically significant. Rampell (2012) could also include additional statistics on the following i. Male and female viewers within the different categories ii. occupational groups and iii. Types of programs people watch most. Even though the average number of hours men spend watching television is higher than that for women, it is not clear whether this is so for all the categories shown in the graph presented.