BB113 Statistics and Its Application
Tutorial 6
Tutorial 6 Sampling+ Confidence Interval Estimation
1. The mean wage per hour for all 4000 employees who work at large company is
RM30.00, and the variance is 16. Let x be the mean wage per hour for a random

BB113 Statistics and Its Application
Tutorial 4
Tutorial 4
Discrete Probability Distribution
1.
The following table contains the probability distribution for the number of traffic
accidents daily in a small city:
Number of Accidents Daily (X)
P(X = xi)
0

BB113 Statistics and Its Application
Tutorial 3
Tutorial 3 - Basic Probability
1.
Two coins are tossed.
(a) Give an example of a simple event.
(b) Give an example of a joint event.
(c) What is the complement of a head on the first toss?
2. Consider the fo

BB113 Statistics and Its Application
Tutorial 2
Tutorial 2 - Numerical Descriptive Measures
1. The following set of data is from a sample of n = 7:
12
7
4
9
0
7
3
(a) Compute the mean, median and mode.
(b) Compute the range, variance and standard deviatio

BB113 Statistics and Its Application
Tutorial 9
Tutorial 9 - Analysis of Variance
1.
An experiment has a single factor with five groups and seven values in each group.
(a) How many degrees of freedom are there in determining the among-group variation?
(b)

BB113 Statistics and Its Application
Tutorial 11
Tutorial 11 Chi-Square Tests
1.
Determine the critical value of 2 with 1 degree of freedom in each of the following
circumstances:
(a) = 0.05
(b) = 0.025
(c) = 0.01
2.
Use the following contingency table:
A

BB113 Statistics and Its Application
Tutorial 5
Tutorial 5 Continuous Probability Distribution
1. Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1,
as in Table E.2), what is the probability that
(a) Z is less than 1

BB113 Statistics and Its Application
Tutorial 7
Tutorial 7 Fundamental of Hypothesis Testing One Sample Tests
One-Sample Tests
1.
If you use a 0.05 level of significance in a (two-tail) hypothesis test, what will you decide
if ZSTAT = 0.76?
2.
If you use

BB113 Statistics and Its Application
Tutorial 10
Tutorial 10 Simple Linear Regression
1.
Fitting a straight line to a set of data yields the following prediction line:
Yi 2 5 X i
(a) Interpret the meaning of the Y intercept, b0.
(b) Interpret the meaning

BB113 Statistics and Its Application
Tutorial 8
Tutorial 8 Two Sample Tests
Question 1
In a study, drinking-water samples were taken from Rural and Urban locations. The
recorded ph values are given in the table below:
Rural
Urban
6.3
6.4
5.9
6.2
6.6
6.4
7