Professor Balenciaga has reported her students' grades for several semesters and the average for all the grades ofthese students is 83. Her new class of 28 students seem to be higher than the average of ability and she wants to demonstrate that the current class is superior to the previous classes according to their average. Is there sufficient evidence for the class average of 86.2 and the standard deviation of 12 present to support her argument that the current class is superior? Using the 0.05 significance level.
Professor Balenciaga has reported her students' grades for several semesters and the average for all the grades ofthese studs is 83. Her new class of 30 studs seem to be higher than the average of ability and she wants to demonstrate that the current class is superior to the previous classes according to their average. Is ther sufficient evidence for the class average of 86.2 and the standard deviation of 12 present to support her argument that the current class is superior? Using the 0.05 significance level.
Sixteen oil tins are taken at random from an automatic filling machine. The mean weight of the tins is 14.2 kg, with a standard deviation of 0.40 kg. Can we conclude that the filling machine is wasting oil by filling more than the intended weight of 14 kg, at a significance level of 5%? (5 marks)
Two judges gave the following ranks (from the highest to the lowest) for girls who contested in a beauty competition. Girl Number 1 2 3 4 5 6 7 8 9 10 11 Judge A 3 4 1 2 5 10 11 7 9 8 6 Judge B 2 4 3 1 7 9 6 11 10 5 8 Is there an agreement between the independent rankings of the two judges? (5 marks)
The following data relate to advertising expenditure in. Sh. ten thousands and their corresponding sales (in Shs. millions). Advertising expenditure 10 12 15 23 20 Sales 14 17 23 25 21 i.) Fit a regression line of sales against advertising expenditure? (5mrks) ii) Estimate the sales when the advertising expenditure is of sh. 300,000? (2 marks)
The marketing manager of a company manufacturing detergents conducted a survey to assess customers response to new packaging recently introduced. She classified the customers according to gender and from a random sample of 300 customers, she got the following results. Preference New packaging Old packaging Undecided Male 27 14 92 Female 73 82 12 Required: Test at 1% level of significance if there is any significant relationship in packaging preference and gender (5 marks)
Conduct a t-test for the null hypothesis against
alternative hypothesis based on 16 random
observations. The sample mean is 110 and the sample standard
deviation is 10. Use α = 0.05.
8. The average drive to work is 9.6 miles. Assume standard deviation is 1.8. If random sample of 36 employed who derive to work are selected, find the probability that mean of sample miles driven to work is between 9 and 10 miles.
9. The data for the car rental company is given:
Company Cars Revenue
A 63 7
B 29 3.9
C 20.8 2.1
D 19.1 2.8
E 13.4 1.4
F 8.5 1.5
Compute the linear correlation coefficient for the data and find the equation of regression line.
1. In a hospital unit, there are 8 nurses and 5 physicians; 7 nurses and 3 physicians are females. In a staff person is selected, find the probability that the subject is nurse or male.
Staff females males total
Nurse 7 1 8
Physicians 3 2 5
10 3 13