Answer:
A)a-Dholaveera/d-Rainwater harvesting
B)b-lothal/f-Grain storage
C)c-kalibangan/e-Commercial port of indus valley civilization
D)Mohan-jo-daro/c-public baths
E)e-Harappa/b-fossils were first found
<span>The Industrial Revolution was beginning to turn an agricultural economy into one with machines and manufacturing. The Industrial Revolution was growing rapidly in the United States during the early 19th century.</span><span>Hoped I Helped!</span>
Answer: Achieving immortality is scientifically impossible, and the "if" setting has no place in history since it is an exact science that deals with facts.
Explanation:
Qin Shi Huang was an emperor from the Qin dynasty who, in 221 B.C., United all present-day China under his rule, thus becoming the first emperor to rule all of today's China. He reigned as Emperor 221.B.C. -210. B.C. When he came to power, he took the name "First," and after his death, the dynasty managed to survive for only four years. He was a competent statesman and ruler, and during his reign, cinema advanced in all segments.
a. In the prisoners' dilemma game self-interest leads each prisoner to confess. to a breakdown of any agreement that the prisoners might have made before being questioned to an outcome that is not particularly good for either prisoner.
What is prisoners' dilemma game?
The prisoner's dilemma is a common illustration of a game explored in game theory that demonstrates why two logical people could disagree even though it seems to be in their best interests to collaborate.
The possible outcomes:
- If A and B each betray the other, each of them serves two years in prison
- If A betrays B but B remains silent, A will be set free and B will serve three years in prison
- If A remains silent but B betrays A, A will serve three years in prison and B will be set free
- If A and B both remain silent, both of them will serve one year in prison (on the lesser charge).
Learn more about prisoners' dilemma here:
brainly.com/question/22597804
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Measures of variability: numbers that describe the diversity or dispersion in the distribution of a given variable.
