MODULE 1 UNIT 1
ASSIGNMENT
Answer the following questions. Show your work in the space provided and write a
final statement for each application.
1) Ursulla has overdrawn her account by $45. Initially she had $130. How much
money did she withdraw from her
MODULE 3 UNIT 1 ASSIGNMENT
Worth 2% of Final Grade
Total marks for Module 3 Unit 1 Assignment = 19 marks
Submission Instructions
Submit your assignment using the drop box.
Answer the following questions. Show your work, partial marks can be
gained.
1) Def
MODULE 3 UNIT 2 ASSIGNMENT
Worth 2% of Final Grade
Total marks for Module 3 Unit 2 Assignment = 14 marks
Submission Instructions
Submit your assignment using the drop box.
Answer the following questions. Show your work, partial marks can be
gained.
1) Det
MODULE 1 UNIT 2
ASSIGNMENT
Total marks for Assignments Module 1 Unit 2: 44 marks
Answer the following questions. Show your work and write a final statement for
each application if needed.
1) The following expression is used for changing a temperature of 3
MODULE 2 UNIT 1
ASSIGNMENT
Total marks for Assignment 1
38 marks
Answer the following questions. Show your work.
1. Evaluate 6x2 4x +3 for x =2
2. Simplify (x2 +5) (3 4x2)
3 marks
3 marks
3. Simplify 3(7x 3) + 2(5 3x)
3 marks
4. Find the product 7x(2x4)
2
MODULE 2 UNIT 2 ASSIGNMENT
Answer the following questions. Show your work.
1. Solve each linear equation.
a. 6x = 3
2 mark
b. x + 4 = 2x
3 mark
c. 5x + 12 = x 12
3 marks
d. 3(7x 3) = 2(5 3x)
4 marks
e. 2(1 x) + 5 = 2x 1
4 marks
f.
5 marks
2(x 3) 3x = 4x 1
MODULE 1 UNIT 1
ASSIGNMENT
Answer the following questions. Show your work in the space provided and write a
final statement for each application.
1) Ursulla has overdrawn her account by $45. Initially she had $130. How much
money did she withdraw from her
Lind
Marchal
Wathen
Waite
1
Learning Objectives
LO
1 Explain why a sample is often the only feasible way to
learn something about a population.
LO
2 Describe methods to select a sample.
LO
3 Define and construct a sampling distribution of the
sample mean
Standard Normal
Distribution
1
Empirical Rule
The Empirical Rule (The 68-95-99.7 Rule) works great if we are
ooking at observations that are exactly 1, 2, or 3 from
he mean.
But, what if an observation is 2.76 from the mean?
3
2
+
+ 2
+ 3
68%
95%
99.
Confidence Intervals
Estimating Population
Means
1
Learning Objectives
LO
1 Define a point estimate.
LO
2 Define level of confidence.
LO
3 Construct a confidence interval for the population mean
when the population standard deviation is known.
LO
4 Constr
Joint Probability
1
Joint (AND) Probability
A joint probability is the probability of events A and
B happening at the same time (ie. wanting to find
P(A and B).
A joint probability (where events A and B happen at
the same time) is not the same as condit
Normal
Distribution
Introduction
1
Probability Distributions
Terminology
A random variable is a variable whose value is determined
by the outcome of a random experiment.
A probability distribution is a list of all possible values
of a random variable and
Probability Concepts
1
Learning Objectives
1 Define probability
LO 2 Explain the terms experiment, event, outcome,
permutations, and combinations
LO 3 Describe the classical, empirical, and subjective
approaches to probability
LO
2
Statistical Inference
W
Lind
Marchal
Wathen
Waite
1
Learning Objectives
LO
1 Explain why a sample is often the only feasible way to
learn something about a population.
LO
2 Describe methods to select a sample.
LO
3 Define and construct a sampling distribution of the
sample mean
T-BILLS, PROMISSORY NOTES, TIME VALUE OF MONEYMA10037 2013
_
(1) An $80,000 91 day T-bill was issued 35 days ago. What will it sell at today to yield the purchaser 5.25%?
(2) What is the price of a $100,000 182 day T-bill that yields 6.17%?
(3) JK bought
MA101
3.1 - Solving Basic Percent Problems
3.1 - Solving Basic Percent Problems Read: Ch.3, Sec.3.1 (p.67 - 72)
Percent is used to express a quantity out of 100 units and is represented by the symbol %
Portion = Rate x Base
50% of 60 = 0.50 x 60 = 30
the