Answer:
B. A teacher compares the pre-test and post-test scores of students
Step-by-step explanation:
the answer is true, because it is a good example to compare the tests between students, we know that a matching pair design is a random model and is used when the experiment allows grouping subjects in pairs based on a variable and each pair will receive randomly a different handling, the answer A is not true because in the example all students are uniformly averaged and the variable is not correlated with subgroups, option c is incorrect because the variable was not randomized and generates classification bias and the option d is incorrect because the teacher compares a small sample as her class with a score of a total sample, but does not intervene on her students when selecting the corresponding group
Argument
The only number he can't roll is the number one. There are 5 numbers that he can roll.
The probability of success therefore is 5/6.
Formula
Number of successful rolls = probability of success * total number of rolls.
Total number of rolls = 78
Probability = 5/6
Number of successful Rolls = 5/6 * 78
Number of successful Rolls = 390/6
Number of successful Rolls = 65
Answer
He should roll a number greater than one 65 times <<<<< answer
Answer:
this is too hard which class are u in
The probability that a student selected at random majors in engineering is 30% which is 0.3.
The probability that the student both majors in engineering and play club sports is 10% which is 0.1.
For a student who is selected at random to be one who majors in engineering, there are two possible ways.
The student majors in engineering OR the Student both majors in engineering and plays club
The Probabilty that the student majors in Enginnering =
The probability that the student majors in engineering plus the probability that Student both majors in engineering and plays club sport
= 0.3+0.1= 0.4