The following values show the IQ and the Entrance Exam scores of incoming freshmen in a certain university.
Student
IQ (x)
Entrance Exam scores (y)
1
120
98
2
85
78
3
90
88
4
110
95
5
115
97
6
124
99
7
89
88
8
98
92
9
99
93
10
100
91
Calculate the following:
a. Compute the value of correlation coefficient ®.
b. What is the least-squares equation?
c. If student 11 has an IQ = 130, what is his/her estimated entrance exam score?
The following table gives the recorded grades for 10 students on a midterm test and the final examination in a statistics course.
Student
Midterm Test
Final Examination
1
84
73
2
98
63
3
91
87
4
72
66
5
86
78
6
93
78
7
80
91
8
9
92
88
10
87
77
a. Calculate the rank correlation coefficient.
b. Test the hypothesis @ .05 level of significance.
The probability density function of two random variables is f(x1,x2)=e-(x1+x2) x1>0 , x2>0 given that y=x1/(x1+x2)what is the probability density function of variabley
There is a bag filled with 5 blue and 4 red marbles.
A marble is taken at random from the bag, the colour is noted and then it is replaced.
Another marble is taken at random.
What is the probability of getting 2 reds?
The mean lifetime of the light bulbs produced by Volta Corporation is 1705 hours with a population standard deviation of 150 hours. The CEO of the company claims that a new production process has led to an increase in the mean lifetimes of the light bulbs. If Jeremy tested 130 bulbs made from the new production process and found that their mean lifetime is 1650 hours, test the hypothesis that the mean is not equal to 1705 hours using the level of significance of 0.10.
On average, an insurance company receives 6 claims between 14:00 and 16:00 on a particular day. What is the probability that the company receives exactly 17 claims between 08:00 and 16:00?
question2:
Force (N) 0 20 40 60 80
Length (mm) 22 110 215 330 410
Use the table of measurements of length and
force that you have been supplied with to
complete the following activities:
(a) Draw a scatter graph for your given data.
Describe what the scatter graph is indicating.
(b) Use the scatter graph to estimate the
length for a force of 57N
(c) Calculate the line of regression of
extension on force (Y on X)
(d) Calculate the regression coefficient
(e) Explain what the regression coefficient
indicates?
(f) Use the equation for the line of regression
to predict the length for a force of 57N
(g) Compare the calculated value with the
value that you have determined from the
scatter graph.
(4.6 4.5 4.7 4.6 4.5 4.6 4.3 4.6 4.8 4.2
4.6 4.5 4.7 4.5 4.5 4.6 4.6 4.6 4.8 4.6)
1. Use the ungrouped data that you have been
supplied with to complete the following:
(a) Arrange the data into equal classes
(b) Determine the frequency distribution
(c) Draw the frequency histogram
(d) Create a cumulative frequency table for
the data
(e) Draw the cumulative frequency graph
(f) Use your cumulative frequency graph to
determine if the data is normally distributed
or not?
(g) Calculate: i) the mean and standard
deviation; li) the upper and lower quartile
values; and ili) the interquartile range for the
given data.
Suppose that the mean weight of school children’s bookbags is 17.41 pounds, with a standard deviation of 2.2 pounds. Find the probability that the mean weight of a sample of 30 bookbags will exceed 17 pounds.
Many things closely follow a normal distribution. Give five examples of real-life data which follow this type of pattern. Example: heights of people