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# Descriptive and Inferential Statistics

For example, anewspaper might report that 80% of the respondents in a United Kingdom mall survey reported that they read newspapers versus reading them online. A inferential statistic arising from this measurement could be: tis was statistically higher than the average population reading printed newspapers in the United States. Iferential statistics provide an inference i. aconclusion based on various statistical testing techniques: ztest, ptest, ttest, AOVA, Ftest, rgression analysis, ecWe shall distinguish between houses inside the suburbs and outside the suburbs using the following definition: ay house with miles distance is within suburbs and houses exceeding the 15 mile distance are considered to be outside the suburb.

Te above dataset can be divided into two populations each having a different size and mean. Ater the above dataset was divided (Dataset 1: wthin suburbs Dataset 2: otside suburbs) on the basis of the distance, te immediate findings were as follows: Te above are ALL descriptive statistics pertaining to the data. Tese are the results of simple functions applied to the dataset without any form of inferences being applied.

matter of example, te calculations tell us that the average price of a house within the suburbs of the city is \$232. I does not tell us whether this is high, lw or average in comparison to any other city or change in location. I is a standalone number with little inferential value. “he average property value is higher if located closer to the city than the average property value if located in the suburb of the city. Tis allows us to prove this statement with facts such higher mileage making city living more attractive due to a shorter commute.

Te above are the inferential statistics (z-scores) that have been calculated as a result of the descriptive statistics calculated earlier. Te comparison of these statistics yield a result – a formidable conclusion that can be made at the end of the research. Or next step will be the comparison of the z-calculated statistic with the z-tabulated statistic. I should be remembered that this is a right-tailed test which means that the hypothesis will be rejected if z-calculated statistic greater than the z-tabulated statistic.

Te two population test carried out on the Real Estate dataset at the 95%. ..

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