Explanation:
true for meiosis :-
d) It produces haploid cells.
Because meiosis is also called reductional division as it divides the chromosome no. into half .
Answer:
B
Explanation:
What is a divergent boundary:
In plate tectonics, a divergent boundary is a linear feature that exists between 2 tectonic plates <u>moving away</u> from each other.
They can produce rifts, which become rift valleys.
Divergent boundaries also form <u>volcanic islands</u>, which occur when the plates move apart to produce gaps that magma rises to fill.
<u>Sedimentary rocks</u> form due to <u>deposition, and accumulation</u>
<u>Metamorphic rocks</u> form in a <u>transformation</u> of existing rock to new rock in a process called <u>metamorphism</u>.
<u>Igneous rocks</u> form through the <u>cooling and solidification of magma or lava</u>.
When the filled gaps of magma cool off, it will produce <u>igneous rocks</u>.
Answer:insulin and glucagon
Explanation:these are hormones produced by the pancreas
Answer:
The assumption regarding the population which is necessary for making an interval estimate for the population mean is that:
a. We assume that the population has a normal distribution.
b. We assume that the central limit theorem applies.
Explanation:
The assumption regarding the population which is necessary for making an interval estimate for the population mean is that:
a. We assume that the population has a normal distribution.
b. We assume that the central limit theorem applies.
A normal distribution describes how the values of a variable are distributed. It is a probability distribution that is symmetrical about the central value or the mean, i.e. 50% of data are found to the left and right of the mean respectively. Most of the data are clustered around the mean, i.e. they occur or are found near the mean than far away from the mean. The graph form of a normal distribution will appear as a bell curve. In a normal distribution, mean = mode = median.
The Central Limit Theorem states that irrespective of the underlying distribution of a sample, when a variable does not follow a normal distribution, repeated random samples from the population will give sample means they are normally distributed. This means that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger.