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For instance: • In the pharmaceutical industry. It is impossible to test every drug for every person that may require it. So the industry needs a statistician. • In business, managers must often decide whom to offer their company’s products to such as a credit card company must asses how risky a potential customer is. • An individual who needs to lose weight for his upcoming new film. He needs to see data of successful diet. Average weight loss on Various diets across 8 weeks Weight Diet 1 2 3 4 5 6 7 8 Diet 1 310 310 304 300 290 285 280 284 Diet 2 310 312 308 304 300 295 290 289 Diet 3 310 307 306 303 301 299 297 295 Diet 4 310 308 305 303 297 294 290 287 Based on these numbers, which diet should he/she addopt? two types of statistics • Descriptive statistics: utilize numerical and graphical method to look for patterns in a data set, to summarize information revealed in a data set, and to present the information in a convenient form that individuals can use to make decisions. The main goal of descriptive statistics is to describe a data set. The class of descriptive statistics include both numerical measures (e.g. Mean, Median) or graphical displays of data (e.g. Charts or graphs) • Inferential statistics: utilize sample data to make estimates, decisions, predictions, or other generalizations about a larger set of data. descriptive statistics • Look at example of the table of various diets • What informations provided by the table? The most significance of diet process is Diet 1 Furthermore, Diet 1 is not stable (see week 7 & 8) Diet 4 shows a steady decline in weight loss One can make an educated decision suitable for his/her personal weight loss goals. inferential statistics • The main goal is to make a conslusion about a population based on a sample of a population. • Inferential statistics mostly uses hypethesis testing. • Key Definition: • Experimental unit (an object upon which data is colletced) • Population (a set of units that is of interest to study) • Variable (a characteristic or property of an individual experimental unit) • Sample (a subset of the units of a population)
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