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Katarina [22]
3 years ago
12

At the end of meiosis, there are ____ haploid gametes.

Biology
2 answers:
alexgriva [62]3 years ago
6 0
There are 24 haploid gamets
jeyben [28]3 years ago
5 0

Answer:

The Answers is four

Explanation:

Just did it on USATESTPREP

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Lucy is thinking of a 5 digit number
True [87]

Answer:

23,7_4

There is no information for the tens place and the thousands may be either 9 or three i think

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3 years ago
As the human population grows, some minerals in everyday products could
Keith_Richards [23]

Answer:

Explore uses of more plentiful minerals.

Explanation:

Because the use of more can get us more items that can grow the population and interest.

6 0
2 years ago
These are all hypothalamic hormones except
Paul [167]

Answer:

The correct answer is luteinizing hormone.

Explanation:

Hypothalamus has two sets of nerve cells that produce hormones. One set sends the hormones that are anti-diuretic hormone and oxytocin. ADH regulates or water in the bloodstream by reabsorption of water at the kidney and oxytocin helps in pregnancy and breastfeeding.

The other set produces hormones growth regulating, stress releasing and stimulating and inhibiting hormones are dopamine, corticotrophin-releasing hormone, growth hormone-releasing hormone, gonadotropin-releasing hormone, somatostatin, and thyrotropin-releasing hormone.

Luteinizing hormone is secreted by the pituitary gland. It is one of the main hormones that control the reproductive system.

Thus, the correct answer is luteinizing hormone.

4 0
3 years ago
(Physical or Chemical Property). When you can use your 5 senses to determine a substance.
ser-zykov [4K]

The answer is Physical Property

5 0
3 years ago
Write a paragraph on testing probability
VashaNatasha [74]

Explanation:

Probabilities are described as ratios of favorable event outcome to the total number of event outcomes.

This is written as...

P (E) =\frac{n(E)}{n(S)} \\

where...

E= the number of times the event occurs

S= the number of trials

In biology experiments, hypotheses are formed based on research questions, and tested with the use of variables  to provide a particular outcome. Statistics allows for testing data for consistency with the hypothesis, while statistical probability testing can be used in experiments to determine a range of outcomes, from genetic inheritance, evolutionary rates to theoretical experimental results.

In these statistical models, probability distributions are functions that give probabilities for certain event outcomes within an experiment (a set of trials). These may be either continuous, taking a value within a range of two numbers; or discrete, which may be either of two specified values. Discrete probability distributions list each value that a random variable may possibly take on.

Further Explanation:

For example, two types of probability distributions are employed in experimental biology:

Binomial distributions, which are discrete distributions,  provide probability of a certain number of successful events for x  a random variable, in a specific number of trials, n; here, the probability of success of an individual trial is constant at P and only one of two outcomes are possible- this is sampling with replacement.

where...

b(x;  n, P)-the probability that an experiment of n trials results in x successes

nCx- the number of combinations of n things at r time

b(x;  n, P) = [ nCx ]* P^{x}  * (1-P)^{n-x}\\

<em>This is often used in determining potential outcomes before data collection.</em>

A type of continuous distribution, the student's t-test, compares standard deviations and means from two sets of samples or groups to check for significant differences between them.

t= \frac{(x_{1} - x_{2}) }{\sqrt{(\frac{(S_{1}) ^{2} }{n1} }+ (\frac{(S_{2}) ^{2} }{n2 }}

where...

  • x1 and s1 are the mean and standard deviation of sample 1 respectively
  • x2 and s2 are the mean and standard deviation of sample 1 respectively  
  • n1 and n2 are sample sizes in samples 1 and 2 respectively

The null and alternate hypotheses typically theorize the likelihood and significance of certain event outcome probabilities. Critical values of t, along with degrees of freedom are used to determine a range of probable outcomes; probability or p- values along with this range, are used to determine whether either hypothesis is rejected or accepted.

<em>For instance, significant differences between an experimental control and a specific treatment group would show that these occurrences are not due to sampling errors or random chance...</em>

Learn more about calculating probability at brainly.com/question/4021035

Learn more about calculating event probability at brainly.com/question/6649771

#LearnWithBrainly

5 0
3 years ago
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