Answer:
An inflammation of the vagina most commonly caused by Candida, called <u>candidiasis</u>, is characterized by some degree of vaginal itching; however, <u>candidiasis</u> does not appear to induce vaginal inflammation and is most likely due to a reduction in Lactobacillus species.
Answer:
A - Stigma
B - Anther
C - Filament
D - Style
E - Ovary
F - Petal
Explanation:
The above are the correct answers of the image drawn in the attachment.
These are parts of a flower.
A - Stigma: It is the head of the pistil. It contains a sticky substance that catches pollen grains from other pollinators.
B - Anther: This is the head of the stamen. It produces pollen grain.
C - Filament: It is a long slender part of the flower. It attaches the anther to the flower.
D - Style: It actually holds the stigma.
E - Ovary: It holds the ovule. Found at the base of the pistil.
F - Petal: It attracts pollinators to the flower.
El Niño affects global weather because precipitation increases in South and Central America and also decreases in Africa, Asia, and Australia (Option C).
<h3>What is 'El Niño'?</h3>
The 'El Niño' is a climatic phenomenon associated with the formation of violent storms that cause flooded areas in America.
It has been suggested that 'El Niño' may be associated with global warming and increased its activity in the last years.
In conclusion, El Niño increases precipitation in South and Central America and decreases it in Africa, Asia, and Australia (Option C).
Learn more about El Niño here:
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Urine is stored in the Bladder before it leaves the body.
Imagine you are surveying a population of a mountain range where the inhabitants live in the valleys with no inhabitants on the large mountains between. If your sample area is the valleys, and you use this to estimate the population across the entire mountain range, <u>you overestimate the actual population size</u>
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Explanation:
- An estimate that turns out to be incorrect will be an overestimate if the estimate exceeded the actual result, and an underestimate if the estimate fell short of the actual result.
- The mean of the sampling distribution of a statistic is sometimes referred to as the expected value of the statistic. Therefore the sample mean is an unbiased estimate of μ.
- Any given sample mean may underestimate or overestimate μ, but there is no systematic tendency for sample means to either under or overestimate μ.
- Bias is the tendency of a statistic to overestimate or underestimate a parameter. Bias can seep into your results for a slew of reasons including sampling or measurement errors, or unrepresentative samples