Answer:
d. Researchers said the flu shot reduced the risk of developing the flu when it actually didn't.
Explanation:
A Type I Error can be defined as the error that occurs in hypothesis when a researcher rejects the opposite of his hypothesis even though the opposite of his hypothesis is correct or true. Type I Error can also be called a False positive.
In the question above an hypothesis was carried out by researchers to determine if getting a flu shot would reduce the risk of developing a flu.
The truth is " Getting a flu shot actually reduces the risk of developing a flu"
But the researcher hypothesis test result that would result in a Type I error says "Researchers said the flu shot reduced the risk of developing the flu when it actually didn't".
This result of hypothesis test of the researchers above is a rejection of truth (the truth is an opposite of the researchers hypothesis test) and it would result in a Type I Error.
The science that describes populations is called Demography.
Demography is the study of human population dynamics. It entails the study of the size and density, distribution, and vital statistics such as births, marriages, deaths, aging, migration among other factors that affect a population. In other term is the Quantitive and qualitative aspects of human population.
The presence of two deltas indicates a 'plain whorl', a common thing that 24% of people have in common.
Mendel studied a total of seven traits of garden peas. His experiments were successful because the pairs of factors for the traits he studied were on seed shape<span>, flower </span>color<span>, </span>seed coat tint<span>, </span>pod shape<span>, unripe </span>pod color<span>, flower location, and plant height</span>
Answer:
The answer is kinetic energy
Explanation:
