Connecticut (CT) Hartford
Northeast Region Delaware (DE) Dover
Northeast Region Maine (ME) Augusta
Northeast Region Maryland (MD) Annapolis
Northeast Region Massachusetts (MA) Boston
Northeast Region New Hampshire (NH) Concord
Northeast Region New Jersey (NJ) Trenton
Northeast Region New York (NY) Albany
Northeast Region Pennsylvania (PA) Harrisburg
Northeast Region Rhode Island (RI) Providence
Number one is "sand dunes".
Number two is "the breakdown of rock through mechanical disintegration and physical stress."
No hypothesis test is 100% certain. Because the test is based on probabilities, there is always a chance of making an incorrect conclusion. When you do a hypothesis test, two types of errors are possible: type I and type II. The risks of these two errors are inversely related and determined by the level of significance and the power for the test. Therefore, you should determine which error has more severe consequences for your situation before you define their risks.Type I errorWhen the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is α, which is the level of significance you set for your hypothesis test. An α of 0.05 indicates that you are willing to accept a 5% chance that you are wrong when you reject the null hypothesis. To lower this risk, you must use a lower value for α. However, using a lower value for alpha means that you will be less likely to detect a true difference if one really exists.Type II errorWhen the null hypothesis is false and you fail to reject it, you make a type II error. The probability of making a type II error is β, which depends on the power of the test. You can decrease your risk of committing a type II error by ensuring your test has enough power. You can do this by ensuring your sample size is large enough to detect a practical difference when one truly exists.
The world's annual natural increase rate is currently approximately 1.2%, at which rate the world's population is projected to double in about 54 years.
Answer:
A- deforestation...........
Explanation:
Trees are life so please save trees save life
