6- (15%) Assume that X= The final grade of a student in Stochastic Modeling class and Y= The final grade of a student in Structural Analysis class. The joint probability of the grades earned by a student is P(X,Y) which is as follows.
Structural Analysis Grades Stochastic Modeling Grades: 95, 80, 90, 0.2, 0.4, 75, 0.3, 0.1
How the grades of Stochastic and Structural Analysis classes are related to each other? (Positive, Negative or no relationship?) *Hint: No need for the final value of ρ. Do necessary calculations to show how X and Y are related to each other (Positive, Negative or no relationship)
6- (15%) Assume that X= The final grade of a student in Stochastic Modeling class and...
6- (15%) Assume that X=The final grade of a student in Stochastic Modeling class and Y=The final grade of a student in Structural Analysis class The joint probability of the grades earned by a student is P(X,Y) which is as follows. Stochastic Modeling Grades 90 75 Structural Analysis Grades 95 0.2 0.3 80 0.4 0.1 How the grades of Stochastic and Structural Analysis classes are related to each other? (Positive, Negative or no relationship?) *Hint: No need for the final...
6- (15%) Assume that X=The final grade of a student in Stochastic Modeling class and Y=The final grade of a student in Structural Analysis class The joint probability of the grades earned by a student is P(X,Y) which is as follows. Stochastic Modeling Grades Structural Analysis Grades 95 0.2 0.3 90 75 80 0.4 0.1 How the grades of Stochastic and Structural Analysis classes are related to each other? (Positive. Negative or no relationship?) *Hint: No need for the final...
6- (15%) Assume that X=The final grade of a student in Stochastic Modeling class and Y=The final grade of a student in Structural Analysis class The joint probability of the grades earned by a student is P(X,Y) which is as follows. Stochastic Modeling Grades Structural Analysis Grades 95 0.2 0.3 90 75 80 0.4 0.1 How the grades of Stochastic and Structural Analysis classes are related to each other? (Positive. Negative or no relationship?) *Hint: No need for the final...
6- (15%) Assume that X=The final grade of a student in Stochastic Modeling class and Y=The final grade of a student in Structural Analysis class The joint probability of the grades earned by a student is P(X,Y) which is as follows. Stochastic Modeling Grades Structural Analysis Grades 95 0.2 0.3 90 75 80 0.4 0.1 How the grades of Stochastic and Structural Analysis classes are related to each other? (Positive, Negative or no relationship?) *Hint: No need for the final...
(1 point) A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for all 10 students in the class are shown in the table below. Student Verbal Score x Final Grade y 49 77 51 67 69 81 61 61 47 62 73 41 59 90 65 82 26...
1 76 (6 points) A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for all 10 students in the class are shown in the table below. Student Verbal Score x Final Grade y 34 78 2 56 3 76 68 4 34 76 5 33 60 6 49...
46 2 (6 points) A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for all 10 students in the class are shown in the table below. Student Verbal Score x Final Grade y 1 86 42 77 3 41 87 4 39 98 5 79 75 6 41...
Many classes calculate a final grade by using a weighted scoring system. For example, “Assignments” might be worth 40% of your final grade. To calculate the grade for the Assignments category, the teacher takes the percentage earned on the assignments and multiplies it by the weight. So if the student earned a 90% total on the Assignments, the teacher would take 90% x 40, which means the student earned a 36 percent on the Assignments section. The teacher then calculates...
An analysis of the final test scores in this class shows that the scores follow the normal distribution. The mean of the distribution is 85 and the standard deviation is 6. The professor wants to award an A student whose score is in the highest 11% which means 89% of the class will have lower grades. What is the cut-off point (or score) for those students who earn an A versus those that earn a B? In other words, what...
46 2 (6 points) A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for all 10 students in the class are shown in the table below. Student Verbal Score x Final Grade y 1 86 42 77 3 41 87 4 39 98 5 79 75 6 41...