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Module One: Exploring Data
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate data: Measurin..
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate data: Measurin..Summary
1. The mean deviation (M.D) of a statistical data is defined as the arithmetic mean of the numerical values of the deviations of the items from some average. 2. The standard deviation of a statistical data is defined as the positive square root of the A.M of the squa..
Summary
In a simple bar graph, the height of each bar represents the frequency. The thickness has no significance. All bars to have the same thickness. We use double bar graph when we want to compare two things. In the pie chart, In the frequency polygon, the frequency is plotted against the m..
In a simple bar graph, the height of each bar represents the frequency. The thickness has no significance. All bars to have the same thickness. We use double bar graph when we want to compare two things. In the pie chart, In the frequency polygon, the frequency is plotted against the m..Summary
The Arithmetic mean is obtained by dividing the sum of all the items in the list by the total number of items. Direct method M = Where x is mid-interval f is frequency M is mean Short cut method where A = assumed mean d = x - A Step deviation method Where i = class siz..
The Arithmetic mean is obtained by dividing the sum of all the items in the list by the total number of items. Direct method M = Where x is mid-interval f is frequency M is mean Short cut method where A = assumed mean d = x - A Step deviation method Where i = class siz..Summary
The fundamental principle of counting (F.P.C) states that if an operation can be performed in m different ways and if for each such choice, another operation can be performed in n different ways, then both operations, in succession can be performed in exactly mn different ways. The principle can ..
Summary
Let A and B be two events. Then, where S is the sample space. Note that simple events of a sample space are always mutually exclusive. Sample space: Set of all possible outcomes of a random experiment. Event : An event of a random experiment is defined as a subset of the sample space. Equally likel..
Let A and B be two events. Then, where S is the sample space. Note that simple events of a sample space are always mutually exclusive. Sample space: Set of all possible outcomes of a random experiment. Event : An event of a random experiment is defined as a subset of the sample space. Equally likel..Summary
P {Occurrence of A given that B has occurred} = P (A|B) ..
P {Occurrence of A given that B has occurred} = P (A|B) ..Summary
Two types of graphical representation of data are the histogram and the ogive. A histogram is a diagram which represents the class interval and frequency in the form of a rectangle. When the class intervals are unequal, each rectangle is constructed with the class interval as the base and t..
Summary
There are two types of frequency distribution. (a) Inclusive (b) Exclusive In the inclusive type, the upper limit of one class does not coincide with the lower limit of the next class. In the exclusive type, the upper limit of one class coincides with the lower limit of the next class. Inclusi..
Statistics Summary
Summary - There are two types of frequency distribution. (a) Inclusive (b) Exclusive In the inclusive type, the upper limit of one class does not coincide with the lower limit of the next class. In the exclusive type, the upper limit of one class coincides with the lower limit of the next..
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