Answer: probability is used to predict the chance that an event is likely to occur at a particular chosen level of significance.
Null hypothesis is accepted in biology when the p value is less than 1%, statistically, when the value of p<0.01
Explanation:
Determing the significance level is decided by the researcher, often times, scientists commonly use the 0.05, 0.01, or 0.001 probability levels as cut-off values. For instance, in the example experiment, you used the 1% probability. Thus, P ≥ 0.01 can be interpreted to mean that chance likely caused the deviation between the observed and the expected values (i.e. there is a greater than 1% probability that chance explains the data).
If instead we had observed that P ≤ 0.01, this would mean that there is less than a 1% probability that our data can be explained by chance. There is a significant difference between our expected and observed results, so the deviation must be caused by something other than chance.
Restrict the freedom of assembly
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Many of the factors that led to the late Permian mass extinction also contributed to the late Cretaceous mass extinction, with the exception of a meteor strike.
<h3>Permian-Triassic extinction</h3>
The biggest mass extinction event in Earth's history occurred about 250 million years ago and wiped out 96% of marine life and 70% of land life. Known as "the great death", it was a period of extreme volcanism on the planet, in the region of Siberia.
<h3>Cretaceous-Paleogene extinction</h3>
Occurred only 66 million years ago, it decimated 75% of species. All non-avian dinosaurs were killed. Unlike the previous ones, this event was caused by an external agent: an asteroid over 13 kilometers wide plunged into Earth at 72,000 kilometers per hour.
Whit this information, we can conclude that many of the factors that led to the late Permian mass extinction also contributed to the late Cretaceous mass extinction, with the exception of a meteor strike.
Learn more about Permian in brainly.com/question/4290693
Answer:
Option c. It explains a set of persistent and interconnected data points and relationships.
Explanation:
In science, a theory can be defined as a tested, proven and unifying explanation of the phenomena which is factually supported and has data in support of it gathered over a period of time.
The facts and data are repeatedly tested before a theory is given and it explains many phenomena and some yet to experimented phenomena and their explanations are provided by the established theories.
Therefore, it is a set of persistent and interconnected data points and relationships.