Using the hypergeometric distribution, the answer is 2114/3003 = 0.7040
A self-selected sample survey is when the surveyer choses who he or she wants to ask the survey question to. So, the people surveyed are not random at all. One problem with this is that the surveyer can easily manipulate results by asking a group of people specifically to get a certain result. For example, if I wanted to do a survey about abortion, and I wanted the results to be in favor of my liberal views, I might only survey people in a liberal coffee shop in Seattle. This is a self-selected survey.
3/10 or 0.3
I think representative is choosing a specific group that represent, for example, your target market. Random sampling is choosing a certain number of random people
-5
stratified random sampling is a sample(strata) that a same and hemogenieous in group and that a different and heterogenious in group
Approx 0.0287
controlled experiment
Birthdays are not uniformly distributed over the year. Also, if you were born on 29 February, for example, the probability would be much smaller. Ignoring these two factors, the probability is 0.0082
The probability that two persons share the same birth date can be calculated using the concept of the birthday paradox. In a group of 23 people, there is a probability of approximately 50% that two individuals share the same birth date. This probability increases as the number of people in the group increases due to the increasing number of possible pairs to compare. The calculation involves considering the complementary probability of no one sharing a birthday and subtracting it from 1 to find the probability of at least one shared birthday.
The people in the camps (Jews, gypsies, political prisoner, etc) was just selected a people in random in a certain group such as if the wanted to execute Jews, they get an amount of jews. _______________________ They would have to fit the Nazi criteria of being Jewish.
controlled experiment
1-365/[(365-6)*365^6] = 1 Is this O.K ?
To find the probability of drawing a person from any group, take the number in that group and divide by the total number of people. There are 80 total people in your example. P(secy) = 4/80 = 0.05 P(tech) = 20/80 = 0.25 P(engr) = 4/80 = 0.05 P(exec) = 2/80 = 0.025 P(fact worker) = 50/80 = 0.625
Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.
He was selected by a group of wise people who are chosen by people in elections.
Random sampling can be defined as the selection of a random sample; each element of the population had an equal chance of been selected. Random sampling is used in psychology, statistics, math, sociology, movement and research.
No, that would be a random sample.