simple probability examples

1. All bars have the same thickness. 2. Distance between two consecutive bars is the same. The bars can touch each other. 3. The height of each bar represents the frequency number of students. 4. The thickness has no significance. 5. Bar graphs are preferred when each item of data is separat..

S= {1,2,3,4,5,6}] If the event is set of elements less than 2, then E = {1} is a simple event 1) Simple Event: If an event has one element of the sample space then it is called a simple or elementary eve..

This is the simplest type of graphical presentation of data. The following types of bar graphs are possible: (a) Simple bar graph (b) Double bar graph (c) Divided bar grap..

1. 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. 2. We use double bar graph when we want to compare two things. 3. In the frequency polygon, the frequency is plotted against..

Merits: - Mean deviation is easy to calculate. This measure is simple to understand. This can be calculated from any average. Its value is based upon all the (observations) items of the data. It is less affected by extreme observations. It gives us an idea about how the items are situated..

Let S be the simple space and E 1 , E 2 , E 3 ,….,E n be n mutually exclusive and exhaustive events associated with a random experiment. If A is any arbitrary event then ..

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 aga..

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 agains..

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. Equ..

In tossing a die experiment, what is the probability of getting at least ..