You survey 100 UCSC students and create a random variable, called campus_housing, equal to 1 if they live on campus and zero otherwise. You then calculate the sample mean of this random variable and find that it is equal to 0.74 Answer the following questions using the information provided: a. True or False. The sample mean you calculated is a parameter. b. How many students in your sample do not live on campus? c. Choose the right answer: What share of UCSC students live on campus? i. 26 percent ii. 74 percent i. It is not possible to answer with the information provided.

Given the mean and SD of the eight forms of employment in PEAR INC., calculate the z-scores for the individuals who took the exams in the different countries. ROUND Z-SCORES TO THREE DECIMAL PLACES; WRITE Z-SCORES WITH A SIGN (ex. -1.204 for negative z-score and +1.204 for positive) Description Quiz 11: Z-Scores   ROUND Z-SCORES TO THREE DECIMAL PLACES (to the nearest thousandth). EACH Z-SCORE SHOULD HAVE A + OR - SIGN IN FRONT TO INDICATE POSITIVE OR NEGATIVE VALUE. Use the data below: Eight forms of an employment exam (one in each country of expansion) are given by PEAR INC.  The overall (population) mean and standard deviations of these eight forms are found in the table below. TEST LOCATION MEAN (  ) Standard Deviation (  ) Argentina 82 7 Belgium 39 3.5 China 125 11.5 Denmark 60 5.2 Egypt 92 8.5 France 420 36 Greece 160 14.5 Holland 75 6.5     1. Egypt  mean = 92;   SD = 8.5  Emir took the test in Egypt and scored 90;   Emir's Z-score is:…

Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…

There are eight patients waiting in a doctor's waiting room.  They have been waiting for 9 minutes, 2 minutes, 5 minutes, 4 minutes, 12 minutes, 7 minutes, 8 minutes, and 11 minutes.  Calculate the sample variance for the patients' wait times (in minutes squared). Round to the nearest hundredth as needed.