The Internet increase many ways

The Internet increase many ways
We use the net is that suffering is a problem around the net spreed.
Many do not know that we are, we have to minimize the Microsoft windows 20% net spreed
By default,
Let's go 20% of our net add with  of the net


At first
Click start menu












Click Run
and type gpedit.msc










Then came to local  group policy  editor











Double Click computer configaration
Then  Double click administrative templetes











Then network a double click


















Then  duobe QoS packet Schedular
















Then double click Limit Reservable bandwidth












You can see this Window
















NOW select the Enabled
and  where  band width  limit 20
here written 0 then ok button click






















Now  enjoy and tnx everybody

Bonds in Semiconductors

Bonds in Semiconductors
The atoms of every element are held together by the bonding action of valence electrons. When the bonding takes place, the atom may lose, gain or share valence electrons with other atoms. In semiconductors, bonds are formed by sharing of valence electrons. Such bonds are called co-valent bonds.
Figure 1.1.1
Figure 1.1.1 shows the co-valent bonds among germanium atoms. A Ge atom has 4 valence electrons. Ge atom has a tendency to have 8 electrons in the outer orbit. Each atom shares one valence electron with the neighboring atom and central atom sets up co-valent bond. Valence electrons in a semiconductor are not free.

Introduction to Semiconductor

Introduction to Semiconductor

 Introduction Certain substances like germanium, silicon, carbon etc. are neither good conductors like copper nor insulators like glass. The resistivity of these materials lies in between conductors and insulators. Such substances are classified as semiconductors. Semiconductors have some useful properties and are being extensively used in electronic circuits. Semiconductor A semiconductor is a substance which has resistivity 10-4 to 0.5 Ω-m in between conductors and insulators e.g. germanium, silicon, selenium, carbon etc. The following table shows the resistivities of different types of materials.
Sl No
Substance
Nature
Resistivity
1
Copper
Good conductor
1.7 X 10-8 Ω-m
2
Germanium
Semiconductor
0.6 Ω-m
3
Glass
insulator
9 X 1011 Ω-m
4
Nichrome
resistance material
10-4 Ω-m
Properties of Semiconductors i) The resistivity of a semiconductor is less than an insulator but more than a conductor. ii) Semiconductors have negative temperature coefficient of resistance i.e. the resistance of a semiconductor decreases with the increase in temperature and vice versa. iii) When a suitable metallic impurity e.g. arsenic, gallium etc is added to a semiconductor, its current conducting properties change appreciably.

Basic statistics

Basic statistics


Statistics:
Like many other sciences Statistics is a developing discipline. It is not static. It has gradually developed during last few decades. In different times, it has been defined in different manners
A.L. Bowley defined statistics as
‘Statistics may be called the science of counting’.
A definition due to W.I. King is

‘Statistics may be defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data and making valid inferences on the base of the data.’

Types of statistics:

There are two types of statistics
1. Descriptive statistics
2. Inferential statistics.

1. Descriptive Statistics: Descriptive statistics involve graphical and numerical procedures that are used to summarize and process data and to transform data into information.

Example:
A Gallup poll found that 49% of the people in a survey knew the name of the first book of the Bible. The statistic 49 describes the number out of every 100 persons who knew the answer.

2. Inferential Statistics: inferential statistics are used to make inferences about a population from a sample in order to generalize (make assumptions about this wider population) and/or make predictions about the future. Inferential statistics provide the bases for prediction, forecasts and estimates that are used to transform information into knowledge.

Example:
TV networks constantly monitor the popularity of their programs by hiring Nielsen and other organizations to sample the preferences of TV viewer







Frequency Distribution



Frequency Distribution

A Frequency Distribution is a grouping of data into mutually exclusive categories showing the number of observations in each class.

Class limit: The class limits are the lowest and the highest values that can be included in the class.

Class interval:  The class interval is obtained by subtracting the lower limit of a class from the lower limit of the next class. The class intervals should be equal. It is denoted here by i

Class Frequency: The number of observations in each class. It is denoted here by f. 

Class Midpoint: A point that divides a class into two equal parts.  This is the average of the upper and lower class limits.

Construction of frequency distribution:
           
Example:
Mr. Rahman is a professor of X University.  He wishes prepare to a report showing the number of hours per week students spend studying.  He selects a random sample of 30 students and determines the number of hours each student studied last week.  
  
15.0, 23.7, 19.7, 15.4, 18.3, 23.0, 14.2, 20.8, 13.5, 20.7, 17.4, 18.6, 12.9, 20.3, 13.7, 21.4, 18.3, 29.8, 17.1, 18.9, 10.3, 26.1, 15.7, 14.0, 17.8, 33.8, 23.2, 12.9, 27.1, 16.6.

Organize the data into a frequency distribution


Step One:  First arrange the data in ascending order.  Then we get the data as:

10.3, 12.9, 12.9, 13.5, 13.7, 14, 14.2, 15, 15.4, 15.7, 16.6,17.1, 17.4, 17.8, 18.3, 18.3, 18.6,  18.9, 19.7, 20.3, 20.7, 20.8, 21.4, 23, 23.2, 23.7, 26.1, 27.1, 29.8, 33.8,.


Step Two: Decide on the number of classes using the formula
                                   

                        Where k=number of classes
                        n=number of observations
o        There are 30 observations so n=30.

o        Two raised to the fifth power is 32.

o        Therefore, we should have at least 5 classes, i.e., k=5.

Step Three: determine the class interval or width using the formula

Round up for an interval of 5 hours.

Set the lower limit of the first class at 7.5 hours, giving a total of 6 classes.

Step Four:  Set the individual class limits and

Steps Five and Six:  Tally and count the number of items in each class.


Hours studying
Tally
Frequency, f
7.5 up to 12.5
I
1
12.5 up to 17.5
IIII IIII II
12
17.5 up to 22.5
IIII IIII
10
22.5 up to 27.5
IIII
5
27.5 up to 32.5
I
1
32.5 up to 37.5
I
1