Cold air usually pushes warm air because cold air has a HIGHER DENSITY
the answer D. Giant impact hypothesis or large impact hypothesis
The origin of the Moon refers to several explanations regarding the formation process of the Moon, Earth's natural satellite. Theory The large collision hypothesis is the best-known theory regarding the origin of the moon.
<h2>Further explanation
</h2>
The big collision hypothesis theory states that the Moon was formed from debris left over from a collision between Earth and an object the size of the planet Mars, about 4.5 billion years ago. The object that crashed into the Earth is often called Theia taken from the Greek Titan myth, which is the mother of Selene, the goddess of the Moon.
Other hypotheses about the origin of the moon:
- Catching Hypothesis. This hypothesis says that the Moon is an object captured by the Earth.
- Cleavage Hypothesis. This hypothesis says, in the old days, the Earth was spinning very quickly throwing some of its mass.
- Accretion Hypothesis. This hypothesis says that the Earth and the Moon formed at the same time as a double system of ancient accretion disks in the Solar System.
- The Georeactor Explosion Hypothesis. Another more radical hypothesis was published in 2010, saying that the Moon might have been created by a georeactor explosion located along the boundary of the mantle's core in the rapidly rotating equatorial plane of the Earth. This hypothesis can explain the similarity of the composition of the Earth and the Moon.
Learn more
- about the hypothesis of the creation of the moon brainly.com/question/12687557
- about the big collision hypothesis brainly.com/question/12687557
Details
Class: Middle School
Subject: Biology
Keywords: Hypothesis, Moon, Big Collision Hypothesis
Answer:
C. The differences between the observed and expected counts are too large to be attributed to chance.
Explanation:
The p-value of the statistic represents the chance that the observed count is based on luck or chance. When p value too high, the research can't be used since the chance that its not represent real condition are too high. Most researchers use 5% (0.05) as the cutoff of something called statistically significant. In this research, the p-value is 0.04 or 4%, so it is statistically significant.