5.13
Suppose we roll two fair dice and define event A as at least one 4.
What is P(A)?
a. 11/36
b. 8/36
c. 6/36
5.1 Randomness
7.12
An SRS of 20 third-grade children is selected and each is given a te
NMU 2014 Hockey Players Regression and correlation
For the 2014 Hockey Player Roster from HW assignment 1, do the following:
(For those familiar with excel you may use the excel file for this data on
Homework #3:
1. Watch the following video series in against All Odds. The link to
this site is in a separate section of educat. Watch #10 Scatter
Plots, #11 Regression, and #12 Correlation. These are
Column1
Mean
Standard Error
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
Largest(1)
Smallest(1)
71.857142857
0.4844521417
71.5
73
2.5634797778
6.571
MA171 Homework #1
Part I. Do the following problems in the textbook:
p. 101, problems 3.22, 3.23
p. 103, problem 3.32
p. 124, problem 3.67 and 3.69
Part II. Complete the following NMU 2014 Hockey Rost
3.22
Response
Percent (%)
Strongly agree
54%
Mildly agree
22%
Mildly disagree
16%
Strongly disagree
8%
Distribution of Responses to Browsing on Iphone Compared to Browsing on Previous Mobile Phone
Str
3.2 Describing Distributions
with Numbers
Measures of Center: Mean, Median,Mode
Mean versus Median versus Mode
Measures of Spread: Quartiles, Standard Deviation
(Variance)
Five-Number Summary and Boxp
1
3-2 Measures of Variation (spread)
How Can We Measure Variability?
Range, Quartiles
Variance (standard deviation)
Coefficient of Variation (Not in text?)
Measuring Spread:
the Standard Deviation
The
EXPLORING
the PRACTICE
of STATISTICS
Moore / McCabe / Craig
Lecture Presentation Slides
Introduction
Statistics is the science of conducting studies to
collect,
organize,
summarize,
analyze, and
draw
Chapter 3 Looking at Data:
Chapter Three
Distributions
Looking At Data:
Distributions
Introduction
3.1 Displaying Distributions with Graphs
3.2 Describing Distributions with Numbers
3.3 Density Curves
Looking at Data
Relationships
Moore EPS Chapter 4
2013 W. H. Freeman and Company
4.1-3
At a large department store, the amount a shopper spent and the
shopper's gender (male or female) were recorded.
Chapter 7 - Parameters and
Statistics
Remember the definitions of parameter and statistic:
A parameter is a number that describes some characteristic of the
population. In statistical practice, the va
3.3 Density Curves and
Normal Distributions
Density Curves
Measuring Center and Spread for Density Curves
Normal Distributions
The 68-95-99.7 Rule
Standardizing Observations computing z-score
Using th
Paired t-test
Cholesterol
1=before
2-After
Before
After
210
235
208
190
172
244
diff
190
170
210
188
173
228
t-Test: Paired Two Sample for Means
20
65
-2
2
-1
16
t-Test: Paired Two Sample for Means
Be
Confidence Level the
probability that the true mean is
contained in the sample interval
estimate
Notice here we are talking about an interval estimate about the
population parameter .
What about ? C
Review: Five Steps to
Hypothesis Testing for one
sample t-test
Step 1: State the null and alternative hypotheses.
Step 2: Find the critical values for a given level of
significance, t* for .
Step 3: C
Fall 2014 Practice Test #5
1. The 94 students in a statistics class are categorized by gender and by the
year in school. The numbers obtained are displayed below:
Year
Gende Freshma Sopho
r
n
m
Male
1
6.2 Comparing Two
Proportions
Confidence Interval for a Difference in Proportions
Significance Test for a Difference in Proportions
1
Two-Sample Problems: Proportions
Suppose we want to compare the pr
Sampling distribution- distribution using the means computed from all possible random samples of a
specific size
Sampling error- the difference between the sample measure and corresponding population