In the simulation, when we are building a sampling distribution, what does each dot represent in the graph?An individual part-time college studentA random sample of 25 part-time college studentsA specific college’s part-time college studentsReset this ActivityDid I Get ThisIn the simulation, we collected thousands of random samples from a population of part-time college students. 60% of this population is female. What is the mean of the sample proportions?

Use the following to answer questions 26-33:The sampling distribution shows sample means from samples of size n = 50.What does one dot on the sampling distribution represent?Group of answer choicesThe mean of the quantity being estimated in one sample of 50 people.One person in the sampling distributionOne person in one sample of 50 people.The proportion of quantity being estimated in one sample of 50 people.None of the other answers are correct.

Select all the correct answers.The dot plot shows the number of classes per semester that a group of boys and girls have chosen to take in their freshman year of college. Which statements correctly describe the two data sets? The difference of the means is 1.5. The difference of the means is 0.5. The difference of the means is about one-third the mean absolute deviation of either data set. The difference of the means is 1. The difference of the means is about one-half the mean absolute deviation of either data set.

The sampling distribution of the sample proportion is the distribution of values of the sample proportion from all possible samples of size n drawn from a population. When a sample proportion is calculated, the population from which the sample comes is discrete. The variance of the sample proportion is equal to the variance of a binomial random variable divided by the sample size squared. The sampling distribution of the sample proportion is approximately normally distributed provided the population is normally distributed.

Dr. Patel works at the IUPUI Institutional Research and Decision Support center and wants to know what factors impact graduation rates. He decides to administer a survey to a sample of students. He first gets a list of all students, separated into groups based on how whether they are working full time, part time, or not at all. Then he randomly samples 100 students from each group, even though there are fewer students who work full time in comparison to the other groups. What kind of sampling is he doing?Group of answer choicescluster samplingstratified random sampling with oversamplingstratified random sampling with proportionate samplingsimple random sampling

he s.d. of the sampling distribution of sample mean for the population with s.d. 0.5, population size 122  and sample size 22 is*0.5/11None of these5/225/(11√22)