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The Dean the School of education, Mount Kenya University wants to determine whether there are statistically significant difference of opinion among the different cadres of academic staff members at the university concerning a proposed curriculum change in which postgraduate students are to be taught research methods on-line. Interviewing a sample of 313 members of the academic staff constituting 104 Lecturers, 131 Senior Lecturers, and 78 Professors, the Dean obtained the results shown in the following table:

 

Rank

 

Response

Lecturer

Senior Lecturer

Professor

Total

Against

47

34

14

95

Not committed

41

49

29

119

In support

16

48

35

99

Total

104

131

78

313

 

Compute a chi-square test for the above data and draw conclusion at α = .05      


A large group of students took a test in Physics and the final grades have a mean of 70 and a standard deviation of 10. If we can approximate the distribution of these grades by a normal distribution, what percent of the students

  i) scored higher than 80?                                                                                                                                          (3mks)

  ii) should pass the test?                                                                                                                                           (3mks)


The following were the scores obtained by Form II students in a Mathematics 

49

63

59

58

44

49

51

62

37

30

49

45

52

50

42

54

32

57

41

42

56

44

46

63

44

40

50

46

53

48

37

46

53

68

66

58

36

40

56

37

66

43

40

43

51

59

42

52

46

57

 

 

 

 

 

 

 

 

 

 

 

Required

a)     Group the data into 7 classes and Make a grouped frequency distribution        

  (i)        Mean mark                                                                                                     

(ii)              Mode                                                                                                              

(iii)            Median mark                                                                                                  

(iv)            70th percentile mark                                                                                       

(v)              Standard deviation                                                                                       

Comment on the distribution of marks 


 A survey found that one out of four Filipinos says he or she has visited a dentist in any given month. If 12 people are selected at random, find the probability that (a) exactly five have visited the dentist last month.


The ages, x years, of 18 people attending an evening class are summarized by 

the following totals:

Σx= 745,Σx^2= 33951

 (i) Calculate the mean and standard deviation of the ages of this group of people. 

 (ii) One person leaves the group and the mean age of the remaining 17 people is 

 exactly 41 years. Find the age of the person who left and the standard deviation of the ages of the remaining 17 people.


Delip measured the speeds, x km per hour, of 70 cars on a road where the 

speed limit is 60 km per hour.

 His results are summarized by Σ(x − 60) = 245.

 (i) Calculate the mean speed of these 70 cars. 

 His friend Sachim used values of (x − 50) to calculate the mean.

 (ii) Find Σ(x − 50). 

 (iii) The standard deviation of the speeds is 10.6 km per hour. Calculate 

  Σ (x- 50)^2

 


Marks of ten students in Probability are given below 

2,3,6,8,11,a,17,20,28,b

If mean of the marks is 1.4 and median is 13. Find the values of a and b.


 A computer can generate random numbers which are either 0 or 2. On a particular occasion, it generates a set of numbers which consists of 23 zeros and 17 twos. Find the mean and variance of this set of 40 numbers. 



If the teacher decided to pass the upper 50% of the  students. What is the passing score? 




In a study analyzing the determinants of demand for gasoline in the United States, the results 

shown below were obtained. The dependent variable is miles traveled per car per year (K) and 

the explanatory variables are C, number of cars (millions); M, miles per gallon; Pg, retail 

gasoline price index deflated by consumer price index (1953=100); PT, price of public transport

(1967=100); Pop, population (millions); L, labour force; Y, per capita disposable income in 1958 

prices.

a. Do the coefficients have the expected signs? Explain

b. Is there a multicollinearity problem? Use at least four diagnosis procedures to answer this 

question. If there is multicollinearity, what might be causing it?

c. If there is multicollinearity problem discuss two remedial measures to remedy the situation


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