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What accurately describe the effect of increasing the sample size?
A sample size is a group which is sampled in surveys, statistics, and in the scientific method. Increasing a sample size might decrease or increase the margin of error, depending on what was being measured. For instance, a sample of 100 women who were pregnant, might increase or decrease the the margin of error for women who showed morning sickness while pregnant.
What year was probability discovered?
Probability is a concept that cannot be "discovered." The concept of probability is ingrained in any complex organism's thought process through evolution and has been ever since complex thought evolved. To survive, animals are constantly taking statistics, weighing odds, figuring out what course of action will lead to survival. For example, an owl might hunt at night and decide to target a certain area of hunting ground, deciding that it is more probable that prey might be found in that area. However, as a formal category of mathematics, theories regarding probabilities can be developed or "discovered." See the related question below.
How might the reliability of your estimate change if you captured and marked just 2 peas and then recaptured 1 pea?
If you captured and marked just 2 peas and then recaptured 1 pea, the reliability of your estimate would likely decrease. This is because with a smaller sample size, there is a higher chance of variability and less representation of the entire population. Additionally, the act of marking and recapturing a small proportion of the population can introduce bias and affect the accuracy of your estimate.
What does it mean if you bleed 11 days after your period?
If it is late its ok but if it was period then bleeding you might want get it checked out you might have a vaginal infection.
If two sets of data are correlated this means?
They are related but one might not be causing the other
