Descriptive statistics is concerned about the target population , presenting the data in a meaningful manner in the form of charts , graphs , tables . Descriptive statistics uses central tendencies (mean , median , mode ) and spread (range and standard deviation ) to describe the data.
Whereas inferential statistics makes inference using sample of the target population , make comparison among population, predicts future outcomes . Inferential statistics uses analysis tools such as estimation, hypothesis testing , analysis of variance, correlation , regression etc
1. Inferential statistics ( as we have predicted future outcome: population prediction of 2025 )
2. descriptive statistics ( as we have only presented the data : deaths from avian flue in 2011)
3. Inferential statistics ( based on sample , we estimate how much pet owners spend)
4. Inferential statistics ( On the basis of sample observation , we estimated population proportion of Internet users)
5. descriptive statistics ( as we have only presented the data : deaths from diabetics in 2010)
6. descriptive statistics ( as we have only presented the data : number of students studying abroad)
7. Inferential statistics ( On the basis of sample observation , we estimated population proportion of type O blood group)
9. Inferential statistics ( On the basis of correlation analysis , conclusions are drawn )
Determine whether descriptive or inferential statistics were used, explain why I. In 2025, the world population...
2) Populations versus samples. For each statement, answer with either population, sample, or both. A) The complete set of information. B) A portion, not all, of the information. C) Has the potential to be biased or misleading. D) Measured or summarized with parameters. E) Measured or summarized with statistics. 3) Descriptive versus inferential statistics. For each statement, answer with either descriptive or inferential statistics. A) Facts about samples. B) Educated guesses about populations based on samples. C) The world population...