Stratified Random Sampling
It is 0.02
1/26
24 - 1
Simple random sampling involves selecting a subset of individuals from a larger population, where each individual has an equal chance of being chosen. Examples include drawing names from a hat, using a random number generator to select participants from a list, or conducting a survey where respondents are randomly selected from a database. This method ensures that the sample is representative of the population, minimizing bias in the results.
To find the probability of randomly selecting the letters S, N, O, and T in that specific order from the letters in "FOUNDATIONS," we first note that there are 12 letters in total. The probability of selecting S first is 1/12, then N (1/11), O (1/10), and T (1/9). Therefore, the probability of selecting S, N, O, and T in that order is (1/12) * (1/11) * (1/10) * (1/9) = 1/11880, or approximately 0.000084.
The probability is 0.4231, approx.
It is approx 78.8%
Empirical
1 in 13
It is 0.02
It is 3/8.
1/26
stratified sample
2/4
0.7881 approx.
50%
3/10 or 0.3