Std 11th | statistics chp 2 | Presentation of data | Lec 3 | GSEB | English medium |

Std 11th | statistics chp 2 | Presentation of data | Lec 3 | GSEB | English medium |

hello friends kaise hoooo....... Iss video me maine aapko Continuance frequency distribution ke bare me explain kiya hai . Iss video se aap jan paoge ki kaise continuance frequency distribution se kaise sums solve kar sakte hai. Continuance frequency distributions for class 11 commerce Continuance frequency distributions for standard 11th commerce english medium Standerd 11th commerce statistics chapter 2 presentation of data english medium, std 11th commerce statistics chp 2 presentation of data english medium std 11 commerce statistics chp 2 english medium class 11 commerce statistics chp 2 presentation of data english medium Classification of data in presentation of data presentation of data for class 11th commerce #presentationofdata #thegurjarguru #ashishgurjar #collectionofdata Continuous Frequency Distribution A continuous frequency distribution is carried out when the variable of raw data is continuous or range of the data is large. For this, first of all the number of classes 'K' or class length C" is decided for the raw data. Generally, depending on the raw data, any number from 6 to 15 is decided for the number of classes. It should be noted here that this is accepted as a universal trend which may not be true for every study. Under special circumstances, the number of classes may be less than 6 or more than 15. After deciding number of classes, the class length C" is determined for each class. For this purpose, range R of the raw data is divided by the number of classes 'K'. Practically, the value of number of classes K and the value of class length C are decided in such a way that they are positive integers and their product value is at least the value of range R. In notations, C · K 2 R. If the class length for different classes are equal then it is called continuous frequency distribution with equal class length. Whenever the range of raw data is too large then depending on the given information, the class length of different classes may be different. It is called frequency distribution with unequal class length. After deciding the class length, class limits are decided for each class. On the basis of class limits, continuous frequency distribution can be categorized in two ways : exclusive frequency distribution and inclusive frequency distribution. If the upper limit of any class and the lower limit of its succeeding class are same then it is called exclusive class. In exclusive class, the observation having value equal to the lower limit is included in that class but the observation having value equal to the upper limit is included in the next class. e.g. for an exclusive class 30 – 35, observation having value 30 is included in this class whereas another observation having value 35 is included in the succeeding class. If the upper limit of any class and lower limit of its succeeding class are not same then it is called inclusive class.