Math 1P97
April 28 2004 BROCK UNIVERSITY
Page 1 of 11
Final Examination: April 2004 Course: Math 1P97 Date of Examination: April 28 2004 Time of Examination: 7:00- 10:00
Number of Pages:11 Number of Students:1184 Number of hours: 3 Instructors: D. Miners,
MATH 1P98
Practical Statistics
Dr. Lorna Deeth
MC J429 [email protected]
10/09/2014
MATH 1P98 Lecture 4
1
Measures of Centre and the distribution of the data:
10/09/2014
MATH 1P98 Lecture 4
2
Descriptive Statistics
Measures of Variation
Variation (aka _)
Math 1P97
July 10 2004 BROCK UNIVERSITY
Page 1 of 10
Final Examination: July 2004 Course: Math 1P97 Date of Examination: July 10 2004 Time of Examination: 7:00- 10:00
Number of Pages: 10 Number of Students: 82 Number of hours: 3 Instructor: D. Miners
Name
MATH 1P98 CH8
10/31/2014
Hypothesis Testing
Identify the null hypothesis from a given claim, and express both in
symbolic form
Calculate the value of the test statistic, given a claim and sample data
Choose the sampling distribution that is relevant
E
MATH 1P98 - Assignment #2
Due: Thursday, October 9 @ 18:00
NOTE: Students are expected to complete ALL questions on the assignment. However, only a subset of questions will be
considered for marking. Marks will be deducted for incomplete assignments.
1. (
Kirsten Olivia Bufalino
Assignment WeBWorK Assignment 2 due 10/02/2016 at 11:54pm EDT
MATH1P98D02FW2016
Problem 1. 4. (1 pt) A card is drawn randomly from a standard 52-card deck. Find the probability of the given event.
(a) The card drawn is 9;
The proba
MATH 1P98 - Assignment #1
Due: Thursday, September 18 @ 18:00
NOTE: Students are expected to complete ALL questions on the assignment. However, only a subset of questions will be
considered for marking. Marks will be deducted for incomplete assignments.
1
MATH 1P98 - Assignment #3
Due: Thursday, October 30 @ 18:00
NOTE: Students are expected to complete ALL questions on the assignment. However, only a subset of
questions will be considered for marking. Marks will be deducted for incomplete assignments.
For
Triola Assignment D
Section 8-2 Basic Skills and Concepts
1) A newspaper article states that based on a recent survey, it has bee proved that 50% of all
truck drivers smoke. What is wrong with that statement?
The problem with the statement is the word pro
Week 7
1.
Interval estimates for the population
proportion p
2.
A sample size calculations
3.
Basics of Hypothesis testing
4.
Testing the population proportion p
The Standard Normal Distribution
1 = Confidence Level (CL)
Z N (0,1)
P Z z / 2 / 2 0.05
/2 =
Week 3
Basic concepts of probability:
Classical and empirical probability
1.
2. Rules of Addition and Multiplication,
Venn diagram
3. Conditional Probability, Trees
Classical and Empirical
Classical probabilityprobability the number of
is the ratio of
fav
Week 2
Measures of Variation:
Variance, St. Deviation, Chebyshev's
theorem
1.
2. Percentiles, Quartiles, Boxplots
3. Counting Rules:
Formula of Multiplication,
Permutations, Combinations
1. Variance and Standard
The measure of the spread of data around th
Week 8
1.
2.
Interval estimates for the population mean
( is known)
Interval estimates for the population mean
( is unknown)
3.
Testing the population mean ( is known)
4.
Testing the population mean ( is unknown)
1. Confidence interval for ( is known)
S
Histogram
12
10
8
6
Frequency 4
2
0
2
3
4
5
6
7
8
9
10 More
Bin
Histogram
20
15
10
Frequency 5
0
Frequency
Bin
Histogram
40
30
20
Frequency 10
0
Frequency
Bin
Histogram
50
40
30
20
Frequency 10
0
Frequency
Bin
SMOKER
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Confidence Level(95.0%)
172.475
18.89434
170
1
119.4983
14279.85
0.519621
0.587929
491
0
491
6899
40
38.21741
ETS
Mean
Standard Err
Week 10. Chi-Square 2 Distribution
Testing independence and homogeneity
1.
m
n
2
i j
1
1
2.
(Oij Eij ) 2
Eij
(row i total ) (column j total )
Eij
sample size
Testing goodness of fit
(Oi Ei ) 2
2
Ei
i
1
k
Ei ( given percent of category i ) ( sample si
Week 5-6
1. Poisson Distribution
2. Normal distribution:
1. Transition from the Binomial (discrete) to the
Normal (continuous) distribution
2. Properties of the family of normally distributed
functions
3. The normal distribution in practical examples
3. S
Week 4
1.
Random variables
2. Discrete Probability
distributions
3. Binomial Distribution
1. Random Variables
Example 1. A study was made to investigate the number
of times clients visit a FFF-store each month. The results
for a sample of 200 were:
1.
2.
The practice test
Descriptive stat, Theory of probability
Q.1 The following boxplot shows the number of
times a customer visits LCBO during a month:
0
10
20
30
40
50
25%
75%
1) What is the proportion of customers who
75%
visited LCBO 20 or more times?
2)
Kirsten Olivia Bufalino
Assignment WeBWorK Assignment 3 due 10/30/2016 at 11:17pm EDT
MATH1P98D02FW2016
Problem 3. 9. (1 pt)
Suppose that X is normally distributed with mean 105 and
standard deviation 14.
A. What is the probability that X is greater than
Kirsten Olivia Bufalino
Assignment WeBWorK Assignment 1 due 09/16/2016 at 02:50pm EDT
MATH1P98D02FW2016
? 3. While taking a census is more expensive than taking a
sample, taking a census might help eliminate the problem of sampling error.
? 4. The differe