B. Calculate the mean, median, mode, range, standard deviation, and the 75th percentile of the data below. Interpret the results. Table 3. Distribution for the hourly rate of workers in XYZ Factory CI f 100-119 120-139 10 140-159 12 160-179 17 180-199 25 200-219 220-239 240-259 C. Determine each of the following areas and show this graphically. 1. above 2-1.46 2. Below 2- -0.58 3. Between 2 0.76 and 2-2.88 4. between 2 0.92 and z-1.75 5. At least 2- -2 D. In a job fair, 3000 applicants applied for a job. Their mean age was found to be 28 with a standard deviation of 4 years. 1. Draw a normal curve distribution showing scores and the raw scores. 2. How many percent of the applicants are the z below 20 years old? 3. How many of them are below 20 years old? 4. How many percent have ages between 24 to 32 years old? 5. How many of them aged 24-32 years old? E. In the study by Windle and Windle (1996), one of the results showed that there is a high correlation between daily cigarette consumption (no. of sticks) of mothers and daily alcohol intake (oz). This means that those mothers who smoke also drink. Suppose that a parallel study is made to college seniors and the following data is obtained, would you come up with the same conclusion? Person Number of Alcohol a. Compute for the Pearson Product- Sticks Intake Day moment coefficient of correlation, r Per Day (oz) b. Find the equation of the regression line 15 1.6 between the cigarette intake and 11 1.4 alcohol intake with cigarette intake as 20 2.5 independent variable. 30 2.8 c. If a person smokes 5 sticks a day, how many ounces of alcohol does the 2.6 1.8 person takes in a day? 1.9