2.5 Interpreting Standard Deviation
First Approach is Chebyshevs Rule (Formula 2.7,
2.8)
This rule applies to any data set, regardless of
its distribution
In general, it states that for any number k (where
k>1), At least 1 k1 of the observations will f
Stat 2500, Exam #2, FS2000
1. The number of minutes late that a city bus arrives at a drop off location is
approximately uniformly distributed between zero and 15 minutes.
(a) 95% of the time, a bus will be _ minutes late or less.
(b) Find the probability
Statistics 2500
FS2008 / Form
f!
Name: i. ,).:'
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Fl
,
AII sections
100 points
Exam #1
September 24,2008
1
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Circle the name of your Instructor:
Ruixin
Kate
Adam
Guo
Hercules
Lane
Doug
Lehmann
Hanqing
Jamie
L
Statistics 2500 Exam #2 All sections
F82013 / Form F1 October 14, 2013 100 points
Name: / F Student #: Sect. or time:
Circle the name of our Instructor:
Greg Joseph Rebecca Chris Steven Jordan Richard Bradley Yiqun Qingning
Chandler Dove Ewin ; Leeds Mack
Bxam #3
All sections
November 19,2008
100 points
Statistics 2500
FS2008
/ Form F2
Student
#: /?d ttx: I a
Sect.
or time:
Circle the name of your Instructor:
Ruixin
Guo
Kate
Hercules
2,.,

Adam
Doug
Hanqing
/ Jamie
Lane
Lehmann
Liu
/w"ttrertnn,/
l
Ha Thu
SHOW ALL WORK. NO WORK = N0 CREDIT.
Q3. Suppose that adult cats of 21 certain breed weigh an average of? kg with a standard
deviation of 1.2 kg. Assume that cat weinhis zuc approximatly norn'mlly distributed.
1: :1 07: E .
(a) ( [0 points) 176112an ofc
Statistics 2500 Exam #1 All sections
SP2015 / Form Fl Feb. 23, 2015 100 points
Name: F I /F5 Student#: Sect. ortime:
Circle the name of our Instructor:
Brad Jimmy John Andrew Mary Amy Hope James Bradley Bridget
Alberts Behrens Came Hillard J ost Keith Moo
Statistics 2500 Exam #3 All sections
SP2015 / Form F1 April 20, 2015 100 points
Name: t 2 3 Student#: Sect. ortime:
Circle the name of your Instructor:
Brad Jimmy John Andrew Mary Amy Hope James Bradley Bridget
Alberts Behrens Carne Hillard Jost Keith Moo
Statistics 2500 Exam #2 All sections
SP2015 / Form Fl March 16, 2015 100 points
Name: i F 5 Student #: Sect. or time:
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Brad Jimmy Andrew Amy Hope Bradley Bridget
Alberts Behrens Carne Hillard J ost Keith Moorhead Rodd Vi
Statistics 150, Fall 1998
Exam #2
Name:_
100 points
Form A
Instructions:
I.
II.
III.
IV.
V.
Show all work. Clearly indicate your final answer.
DO NOT write to the right of the margin line.
Carry all computations to at least three decimal places.
You may u
Stat 2500, Exam #1, FS2000
1. A large group of people were surveyed in order to determine how many
minutes each week they spent reading a newspaper. The results showed that the group
read newspapers an average of 400 minutes per week with a standard devia
Learning Centers
Statistics 2500
Exam 3 Review
Ellis Auditorium
Thursday, April 17, 2014
5:307:30 p.m.
Solutions to these problems were recorded on Tegrity on Friday, November 8, 2013 and are now available at:
http:/learningcenter.missouri.edu/help/stat2
Interpreting Circle Graphs (A)
Answer the questions about the circle graph.
Languages of the World (2009 Estimate)
Percentage of people who speak each language as their first language.
Mandarin 12.44%
Spanish 4.85%
English 4.83%
Arabic 3.25%
Hindi 2.68%
B
Sum of Two Dice Probabilities (A)
Find the probability of each sum when two dice are rolled.
P(>2) =
P(<11) =
P(2) =
P(12) =
P(7) =
P(<5) =
P(5) =
P(10) =
P(8) =
P(<6) =
P(12) =
P(10) =
P(6) =
P(12) =
P(11) =
P(>5) =
MathDrills.Com
Sum of Two Dice Probab
Reading Pictographs (A)
Answer the questions about the pictograph.
Number of School Buses at Schools in Great Line School District
vvvvvvv
Euclid P.S.
vvvvv
Central P.S.
vv
North Central P.S. vvvvvv
M.C. Escher P.S. vvv
B. Pascal P.S.
v = 2 buses
1. Which
Line Plots (A)
Answer the questions about the line plot.
Line Plot 1
x
x
0
1
x
x
x
x
x
2
3
4
5
6
x
x
x
x
x
x
x
x
x
7
8
9
x
10
1. Determine the minimum value, maximum value and range of the data.
2. Determine the count, median, mode and mean of the data. R
Sum of Two Dice Probabilities (A)
Find the probability of each sum when two dice are rolled.
P(3) =
P(8) =
P(<10) =
P(<12) =
P(<5) =
P(<3) =
P(10) =
P(12) =
P(12) =
P(>4) =
P(>5) =
P(10) =
P(5) =
P(<12) =
P(<7) =
P(11) =
MathDrills.Com
Sum of Two Dice Pr
John Carney
Ch. 8 Course Notes
8.1: Identifying the Target
Parameter
Determining the Target Parameter
8.2: Comparing Two
Population Means:
Independent Sampling
8.2: Comparing Two
Population Means:
Independent Sampling
8.2: Comparing Two
Population Means:
John Carney
Ch. 6 Course Notes
6.1: Identifying and
Estimating the Target
Parameter population parameter (e.g.
The unknown
mean or proportion) that we are interested
in estimating is called the target
parameter. p. 301
A point
estimator of a population
John Carney
Ch. 7 Course Notes
7.1: The Elements of a Test of
Hypothesis
A statistical
hypothesis is a statement
about the numerical value of a population
parameter. p. 356
There
are two types of these in statistics:
1. Null Hypothesis: represents the s
Influences lrum nnasmuplc
WBRl. A nmnuliwtumr of hcnllhcui'e products claims [hut the mean numunt Lil
hndy lnlinn in its IEIltix. bottles is 535 ml. 'l'n i1wc3Liguli: whether this claim in truc. 21
ramlnni sample nl' It} imttlcs; was taken and thc nulnn
Chapter 7
Summarizing Data
(part 2)
1
From Last Time Do not copy
Graphical methods
Frequency distribution
Histogram
g
Stem and leaf display
Shapes of datasets
Symmetric
Skewed to the right
Skewed to the left
Characteristics of
datasets
Center
V
Chapter 8
BellShaped Curves and
Other Frequency Curves
(part 1)
1
Population vs
vs. Sample
Population: All units of potential interest.
interest
S
Sample:
l The
h part off the
h population
l i upon which
hi h
we actually take measurements.
2
Summary
y
Chapter 4
How to Get a Good Sample
(part 2)
1
From last time
Simple Random Sample
Estimating proportions or percentages
P
Population
l ti proportion
ti = p
Sample proportion p
Formula (4.1): Margin of error = 1
n
2
From last time (cont.)
(cont )
(4.2) An