Презентация Introduction to Statistics. Week 1 (1) онлайн
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Слайды и текст к этой презентации:
№3 слайд
Содержание слайда: C
Course syllabus
Basic course in statistical thinking and analysis. The primary goals are to help you:
Develop ability of statistical thinking and decision-making utilizing statistical tools in a context of business and management.
Acquire techniques to apply the proper current statistical tools to a broad range of business problems.
Topics covered include descriptive statistics and presentations, basic probability, various probability distributions, confidence intervals and hypothesis testing
Prerequisites: High school algebra
№4 слайд
Содержание слайда: Class attendance policy
Students are expected to attend all scheduled classes as well as to bring all related course material in class (e.g. textbook, class notes, distribution tables, scientific calculator, etc.).
Students are liable to take the exams and participate in academic work (Khan Academy, Quiz and assigned homework) required for achieving the course.
Students who do not attend a minimum 70% of the classes (20 classes) will be considered as absent for the related course and therefore will get a VF
№5 слайд
Содержание слайда: Tardiness Policy
Students are permitted to arrive to the class in the first 15 minutes after the scheduled start of the course.
Students who arrive after 15 minutes of the scheduled start of the class will be considered absent.
Students who show up in the class after the break are considered absent.
№14 слайд
Содержание слайда: What is statistics?
Every statistical problem starts with a question!
What was the overall customer satisfaction of Hilton Hotels in
Turkey in 2015?
How many pairs of jeans will GAP sell in the month of November
2016 in Europe?
How did you choose OKAN University for your studies?
How many loafs of bread on average does a bakery store sell per
day?
№17 слайд
Содержание слайда: What is statistics?
How in Statistics do we go about answering such questions?
What was the overall customer satisfaction of Hilton Hotels in Turkey in
2015?
How many pairs of jeans will GAP sell in the month of November 2016 in
Europe?
How did you choose OKAN University for your studies?
№20 слайд
Содержание слайда: Statistical key definitions
POPULATION
A population is the collection of all items of interest under investigation. N represents the population size
Populations are usually very large, therefore it is impossible to investigate entire populations. It would be too
Time consuming
Costly
№24 слайд
Содержание слайда: Examples of Samples
A Sample is a subset of the population
A few parts, of all parts produced selected, for testing defects
10 children from all elementary schools in a given city
The annual income of 33 families out of all families in Izmir
The grade point average of selected students from OKAN University
3 animals out of a total of 25 animals
№25 слайд
Содержание слайда: Statistical key definitions
PARAMETER VS. STATISTICS
A parameter is a specific characteristic of a population (mean, median, range, etc.)
Example: The mean (average) age of all students at OKAN
A statistic is a specific characteristic of a sample (sample mean, sample median, sample range, etc.)
Example: The mean (average) age of a sample of 500 students at OKAN
№27 слайд
Содержание слайда: Why is it necessary to collect samples?
Populations are usually infinite. Therefore impossible to investigate the entire population
Less time consuming to investigate a subset (sample) of the population than investigating the entire population. Timely delivery of the results.
Less costly to administer, because workload is reduced
It is possible to obtain statistical valid and reliable results based on samples.
№28 слайд
Содержание слайда: Randomness (Turkish: Rasgelelik)
Our final objective in statistics is to make valid and reliable statements about the population in general based on sample data. (inferential statistics)
Therefore we need a sample that represents the entire population
One important principle that we must follow in the sample selection process is randomness.
№30 слайд
Содержание слайда: Random Sampling
Simple random sampling is a procedure in which:
Each member/item in the population is chosen strictly by chance
Each member/item in the population has an equal chance to be chosen
Each member/item has to be independent from each other
Every possible sample of n objects is equally likely to be chosen
The resulting sample is called a random sample.
№31 слайд
Содержание слайда: Sampling error
In statistics we make decision about a population based on sample data, because the population parameter is unknown. Ex. Elections
Statisticians know that the sample statistic is rarely identical to the population parameter, but the two values are close.
The difference between the sample statistic and the population parameter is called sampling error.
№32 слайд
Содержание слайда: Non-sampling error
Non-sampling errors: Are errors not connected to the sampling procedure
Population is not properly represented in the sample (Reader’s Digest, 1936)
Survey subject may give incorrect or dishonest answer (because they did not understand the question or did not want to report the truth)
Survey subject fail to answer certain question in a survey (non response bias)
Subjects volonter to participate in a survey. Biased responses
№35 слайд
Содержание слайда: What is data?
Data = information
Data can be numbers: Size of a hotel bill, number of hotel guests, number of nights stayed in a Hilton hotel, size of a swimming-pool, etc.
Data can be categories: Gender, Nationalities, marital status, tourist attractions, codes, university major, etc.
№41 слайд
Содержание слайда: Homework
Send me an email: susanne.saral@okan.edu.tr TODAY
Create your Khan Academy account following the instruction of the hand-out
Go through the course syllabus
Watch the following YouTube video link: Introduction to Statistics
https://www.youtube.com/watch?v=BkV7D-fbKkQ
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