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
That they once were the same but due to genetic mutation, have changed
B. Chitin
that' because both animals and fungus are eukaryotic and heterotrophic, so they share same characterstics in terms of feeding and cellular structure. In addition to both share the same protist supergroup, which is (Unikonta).
UGCCUAGC i think m not fully sure
Answer:
To identify dominant mutations, breed the mutant individual to a wild-type individual. Dominant mutations will be visible in the F1 generation.
Explanation:
Due to technical problems, you will find the complete explanation in the attached files
