Презентация Displaying data – shape of distributions. Week 3 (1) онлайн
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- Всего слайдов:41 слайд
- Для класса:1,2,3,4,5,6,7,8,9,10,11
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Слайды и текст к этой презентации:
№10 слайд
Содержание слайда: Skewed distribution
The thinner parts of a distribution are called tails.
A distribution is skewed, or asymmetric, if one tail stretches farther out on one side than on the other side of the center.
A right skewed distribution has a tail that extends farther to the right.
A left skewed distribution has a tail that extends farther to the left.
№16 слайд
Содержание слайда: Outliers
Outliers can affect almost every statistical method we use in Statistics.
Therefore we need to look out for them.
An outlier can be the most informative part in your data or it may just be an error.
No matter what it is, you need to look at it critically and judge if it is important for our analysis.
№18 слайд
Содержание слайда: Graphs to Describe
Time-Series Data
A time-series plot is used to show the values of a variable ordered over time.
Time is measured on the horizontal axis
The variable of interest is measured on the vertical axis
Used to monitor the evolution of a certain item of interest, such as evolution of the price of gas, annual interest rates, daily closing prices for shares of common stock, evolution of home prices in a certain region, exchange rates (Euro-TL, TL-$), etc.
№23 слайд
Содержание слайда: Manipulation of data
Data can be manipulated in graphical techniques in such a way that they look more/less favorable than they are in reality. This gives misleading information about the data.
You need to be critical whenever you are presented a graph, pie-chart, histogram, etc.
You should also be careful not to construct misleading information with graphical techniques.
№31 слайд
Содержание слайда: Data Presentation Errors
Do not make a histogram of categorical data
Unequal histogram interval widths
Label the x-axis and y-axis clearly (identify
variables clearly)
Compressing or distorting the vertical axis
Do not calculate numerical summaries of categorical data, such as code, telephone numbers, etc.
№37 слайд
Содержание слайда: Displaying categorical data -exercise
Softdrink market share
A local survey company conducted a survey on the consumption of soft drinks its region of operations. The results of the survey were summarized in the following pie-chart:
A) Which soft-drink brand has the highest consumption?
B) Is this a good method to display this data?
№38 слайд
Содержание слайда: Displaying categorical data -exercise
Softdrink market share ( same data as in the preceding slide)
A local survey company conducted a survey on the consumption of soft drinks its region of operations. The results of the survey were summarized in the following pie-chart:
A) Compared to the pie chart in the preceding slide, which
chart is better for displaying the relative proportion (per-
cent) of market share
B) Which chart gives the best visual picture of the data?
Скачать все slide презентации Displaying data – shape of distributions. Week 3 (1) одним архивом:
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Calculating the probability of a continuous random variable – Normal Distribution. Week 9 (1)
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Discrete Probability Distributions: Binomial and Poisson Distribution. Week 7 (2)
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Discrete random variables – expected variance and standard deviation. Discrete Probability Distributions. Week 7 (1)
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Using numerical measures to describe data. Measures of the center. Week 3 (2)
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Types of Data – (continued). Week 2 (2)
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Types of Data – categorical data. Week 2 (1)
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Statistical data processing
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Probability theory. Probability Distributions Statistical Entropy
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Common Probability Distributions
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Getting your data: Sources and samples