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

Statistics Help Summarize Data - Essay ExampleThis cultivation allow for assist them in making decisions relating to the best time to advertise or provide information to the public weekdays or weekends and holidays. STATISTICS Rampell (2012) points out that on average workforce spent more time reflection television than women. However, the main focus was on categories such as education level age of children weekly income involvement (part-time, full-time or unemployed) race and age group of the respondents. The interpret shows that with the exception of the 15 to 19 years age group, the average weigh of hours spent 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 also indicates the following i. On average Black/African-Americans spent more hours watching television in 2011 than the White and Hispanic/ Latino 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 footing 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 cover 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 written in words would take comparatively more pages. When information is presented in this way it is easier to grasp by those who picture 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 go been more appropriate. POSSIBLE IMPROVEMENTS The article could have been improved by describing the categories and providin g 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 loneliness age. Rampell (2012) could have established whether a relationship exist between various categories. Most of these individuals might not have gone past high take aim based on their individual circumstances and the time period in which they were born. Older people 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 allow in additional statistics on the following i. Male and female viewers within the different categories ii. Occupational groups and iii. Types of programs peopl e 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.