Math, asked by ushasharmaudr17, 4 months ago


Find the size of following class intervals.
a) 1-5, 5-9, 9-13
b) 200–300, 300-400, 400-500
c) 0-5, 5-10, 10–15, 15-20. please do the explanation

Answers

Answered by Anonymous
0

Answer:

For most of the work you do in this book, you will use a histogram to display the data. One advantage of a histogram is that it can readily display large data sets. A rule of thumb is to use a histogram when the data set consists of  

100

values or more.

A histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents (for instance, distance from your home to school). The vertical axis is labeled either frequency or relative frequency (or percent frequency or probability). The graph will have the same shape with either label. The histogram (like the stemplot) can give you the shape of the data, the center, and the spread of the data.

The relative frequency is equal to the frequency for an observed value of the data divided by the total number of data values in the sample. (Remember, frequency is defined as the number of times an answer occurs.) If:

f

= frequency

n

= total number of data values (or the sum of the individual frequencies), and

R

F

= relative frequency,

then  

R

F

=

f

n

For example, if three students in Mr. Ahab’s English class of  

40

students received from  

90

% to  

100

%, then,  

f

=

3

,

n

=

40

, and  

R

F

=

f

n

=

3

40

=

0.075

.  

7.5

% of the students received  

90

100

%.  

90

100

% are quantitative measures.

To construct a histogram, first decide how many bars or intervals, also called classes, represent the data. Many histograms consist of five to  

15

bars or classes for clarity. The number of bars needs to be chosen. Choose a starting point for the first interval to be less than the smallest data value. A convenient starting point is a lower value carried out to one more decimal place than the value with the most decimal places. For example, if the value with the most decimal places is  

6.1

and this is the smallest value, a convenient starting point is  

6.05

(

6.1

0.05

=

6.05

). We say that  

6.05

has more precision. If the value with the most decimal places is  

2.23

and the lowest value is  

1.5

, a convenient starting point is  

1.495

(

1.5

0.005

=

1.495

). If the value with the most decimal places is  

3.234

and the lowest value is  

1.0

, a convenient starting point is  

0.9995

(

1.0

0.0005

=

0.9995

). If all the data happen to be integers and the smallest value is two, then a convenient starting point is  

1.5

(

2

0.5

=

1.5

). Also, when the starting point and other boundaries are carried to one additional decimal place, no data value will fall on a boundary. The next two examples go into detail about how to construct a histogram using continuous data and how to create a histogram using discrete data.

Step-by-step explanation:

Answered by hrwaghmaresir
2

Answer:

Sorry bro I can't understand ☹

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