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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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