Answer:
Advantages of both circuit switched networks and TDM are given below:
Explanation:
Advantages of circuit switched network over packet switched network:
- Circuit switched network has the advantage of being physically connected and having a dedicated channel for communication between the sender and the receiver which also makes it more reliable. Packet switched networks do not have a dedicated channel hence, they are not that reliable.
- Circuit switched networks are used for voice calls because there is no timing jitter or delay in these types of networks while packet switched networks do not offer this advantage.
Advantages of TDM over FDM in a circuit switched network:
- TDM is time division multiplexing i.e. multiple information is sent in different time intervals but on the same frequency. While FDM sends information using different frequencies. So, the advantage of using TDM is that the information will be sent from the sender to the receiver using only a single frequency.
- Using TDM, bandwidth is saved because it only sends information on a single frequency unlike FDM.
- In TDM, there is low chance of interference between signals since they are sent in different time intervals from the sender to the receiver. While FDM has a higher chance of interference.
Answer:
public class SimpleSquare{
public int num;
private int square;
public SimpleSquare(int number){
num = number;
square = number * number;
}
public int getSquare(){
return square;
}
}
Explanation:
*The code is in Java.
Create a class called SimpleSquare
Declare two fields, num and square
Create a constructor that takes an integer number as a parameter, sets the num and sets the square as number * number.
Since the square is a private field, I also added the getSquare() method which returns the value of the square.
Answer:
a. count of observations that meet a condition (counts), total number of observations (nobs), Hypothesized value of population proportion (value).
Explanation:
In other to use the proportion_ztest method, the need to make import from the statsmodel module ; statsmodels.stats.proportion.proportions_ztest ; this will allow use use the Z test for proportion and once this method is called it will require the following arguments (count, nobs, value=None, alternative='two-sided', prop_var=False)
Where;
nobs = number of observations
count = number of successes in the nobs trial or the number of successes for each independent sample.
Value = hypothesized value of the population proportion.
