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Answer:
Greeatings here is the soulution to your question
Explanation:
El Niño (the warm phase) and La Niña (the cool phase) lead to significant differences from the average ocean temperatures, winds, surface pressure, and rainfall across parts of the tropical Pacific. Neutral indicates that conditions are near their long-term average.
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because it reflects the same shape of the figure on the top half
Elderly people are most at risk
from minor trauma that results in serious spinal cord injury because of
preexisting degenerative vertebral disorders. Males are more prone to spinal
cord injuries than females but not as a result of preexisting disorder. This
may be related to an increased involvement in contact sports or a propensity to
participate in high risk activities. Neither females nor infants are at any
particular risk for spinal cord injuries.
Jeffery Arnett is a physiologist who coined the term "emerging adulthood." This has previously been known as; delayed adulthood, transition age youth, youthhood, and the twixter years. He believes that the period between adolescence and adulthood is when the person reaches adulthood but doesn't have children, have sufficient funds, or have their own home. He believes it starts at 18 and ends around 25 years of age. He thinks this is when people are still looking for love, make money to spend on recreational activities, and trying to develop their own identities. This theory is highly controversial and has been contested by developmental psychologists.
Two traits that we are examining are the color (purple/white) and the smoothness.
In our sample, we have 135 individuals ( 75 +28+24+8= 135).
Since we know that expected ratio of a dihybrid cross, is <span>9:3:3:1 we can calculate what is the expected values of each phenotype is.
So, for the white wrinkled phenotype, we expect that there will be one-sixteenth of the whole sample ( there are 16 parts of the whole sample 9+3+3+1=16).
So, we multiply the whole sample- 135 with one-sixteenth (or </span>0.0625) and get 8,4375.
When you calculate the values for all phenotypes you get results shown in the attached excel table.
When you have your expected and experimental values you compare them with a chi-square test. (The test determines if the difference between the expected and experimental results is statistically significant).