Explanation and answer:
A rain shadow is a patch of land that has been forced to become a desert because mountain ranges blocked all plant-growing, rainy weather. On one side of the mountain, wet weather systems drop rain and snow. On the other side of the mountain—the rain shadow side—all that precipitation is blocked.
In a rain shadow, it’s warm and dry. On the other side of the mountain, it’s wet and cool. Why is there a difference? When an air mass moves from a low elevation to a high elevation, it expands and cools. This cool air cannot hold moisture as well as warm air. Cool air forms clouds, which drop rain and snow, as it rises up a mountain. After the air mass crosses over the peak of the mountain and starts down the other side, the air warms up and the clouds dissipate. That means there is less rainfall.
You’ll often find rain shadows next to some of the world’s most famous mountain ranges. Death Valley, a desert in the U.S. states of California and Nevada, is so hot and dry because it is in the rain shadow of the Sierra Nevada mountain range. The Tibetan Plateau, a rain shadow in Tibet, China, and India has the enormous Himalaya mountain range to thank for its dry climate.
The correct answer is morphology.
Morphology is part of language studies that deals with words and their constituent parts. So, in English, past tense of regular verbs is formed by adding the suffix -ed to the verb. Aiden clearly understands this rule, but he isn't aware of irregular verbs (such as 'to bring') which is why he applied the same rule here, however, this rule is incorrect.
Answer: D. Modelling.
Modeling is not part of hypothesis testing.
Explanation:
Hypothesis testing is an essential procedure in statistics. A hypothesis test evaluates two mutually exclusive statements about a population to determine which statement is best supported by the sample data. When we say that a finding is statistically significant, it's thanks to a hypothesis test.
Steps in testing hypothesis
1. State the hypotheses. Every hypothesis test requires the analyst to state a null hypothesis and an alternative hypothesis. ...
2. Formulate an analysis plan. The analysis plan describes how to use sample data to accept or reject the null hypothesis. ...
3. Analyze sample data. ...
4. interpret the results
