Answer:
The image of truth table is attached.
Explanation:
In the truth table there is a separate table for the expression (A+B).C and for the expression (A.C)+(B.C) you can see in the truth table that the columns of (A+B).C is having same values as the (A.C)+(B.C).Hence we can conclude that (A+B).C is equal to (A.C)+(B.C).
Sorry for this but to be honest we do t get taught this in the school I go to sorry
Answer:
The multiplier effect is the economical process that basically increase the final and national income disproportionately which results in the greater consumption as compared to the amount of the initial spend.
In other words we can define as the capital implantation, regardless of whether it is in the legislative or corporate level, ought to have snowball impact in the monetary action.
It can be prevent by many ways by increasing the reserve ratio in the economical sector and by also increasing the taxes.
Answer:
import pandas as pd #importing pandas library as pd
import matplotlib.pyplot as plt #importing matplotlib.pyplot as plt
pop=pd.read_csv('nycHistPop.csv') #reading the csv file
borough=input('Enter borough name:') #asking the user for borough namme
# image=input('Enter image name:')
# pop['Fraction']=pop[borough]/pop['Total']
# pop.plot(x='Year', y='Fraction')
print("Minimum population",pop[borough].min()) #printing the minimum population of borough
print("Maximum population",pop[borough].max()) #printing the maximum population of borough
print("Average population",pop[borough].mean()) #printing the average population of borough
print("Standard deviation",pop[borough].std()) #printing the standard deviation of borough
# fig=plt.gcf()
# fig.savefig(image)
Explanation:
