To randomly assign one-half of the 100 students (labeled 0 to 99) to a treatment group using a long string of random digits, you can take pairs of digits from the string. For example, if you take two digits at a time, each pair will represent a number from 00 to 99. Assign those students whose labels match the generated numbers until you have selected 50 students for the treatment group, ensuring you skip any duplicates or numbers outside the range.
well some students just cheat and some just have good luck in randomly answering multiple choices
this is 15/91
The probability that a randomly chosen student is a woman can be calculated by dividing the number of women by the total number of students in the class. In this case, there are 13 women and 31 total students, so the probability is 13/31, which simplifies to approximately 0.419 or 41.9%.
Stratified Sampling Method Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups or strata, then randomly selects the final subjects proportionally from the different strata.
To predict the number of females in the school, we can use the proportion of females from the sample. In the sample, 30 out of 75 students are female, which is 40%. Applying this percentage to the total student population of 1000, we estimate that there are approximately 400 females in the school (0.40 * 1000 = 400).
Pairs
no, it is not a hyphenation
randomly
85/500 = 17%
333
Jakd
Equal means treated the same. Equitable means treated with fairness and impartiality.
well some students just cheat and some just have good luck in randomly answering multiple choices
They can be selected in 756 ways.
50 percent
13 out of 20
It depends on how big the class is.