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Chapter 2 Section Review day 2016s Notes.notebook
1
February 10, 2016
Aug 23-8:26 PM
Honors Statistics
Aug 23-8:31 PM
3. Discuss homework C2#11
4. Discuss standard scores and percentiles
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Feb 8-7:44 AM
Sep 6-2:27 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 18-12:51 PM
Sep 6-2:28 PM
Chapter 2 Modeling Distributions of data
Chapter 2 Section Review day 2016s Notes.notebook
4
February 10, 2016
Oct 10-10:50 AM
Complete the SLTR worksheet
page 136-137: 1-4, 9-11
#10 use list FLIES and only do a
Normal probability plotChapter 2 Review Exercises ANSWERS IN BACK OF TEXTBOOK
Feb 6-12:38 PM
The distribution of St. Louis total runs is
NOT symmetric. It is skewed to the
right. It is NOT normally distributed.
Key
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Feb 6-12:33 PM
x = 5.97 Sx = 3.13_
-3.42 -0.29 2.84 5.97 9.1 12.23 15.36
44
n = 58
55
58
2.84 9.14458 0.76 too
high
-0.29 12.235558 0.95 perfect
-3.42 15.36 5858
1.00 almost
perfect
First st dev off but in general pretty close
Feb 6-12:32 PM
IQRs = = 1.6 8-3
3.13
This value is too high, meaning that the
middle 50% of data spreads out too
many standard deviations to be
considered normally distributed.
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 28-8:59 AM
There is slight arcing on this normal
probability plot of the St Louis total runs,
the plot is not a straight line but it is not
terrible. The data set can be determined to
be slightly right skewed using the "line
analysis" because it falls away "right" of the
red line.
Feb 6-12:36 PM
This data set should not be considered Normally
Distributed.
None of the methods provide an analysis that shows the data to be normally distributed. Method 2 show the 2nd and 3rd standard deviations to be perfect but the 1st standard deviation is too large. The data is skewed but not as severely as some of the data we have analyzed.
Chapter 2 Section Review day 2016s Notes.notebook
7
February 10, 2016
Sep 23-11:27 AM
Book Chapter review problems: pages 136 and 137
Sep 23-1:28 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-1:28 PM
Sep 23-1:28 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-1:29 PM
Sep 23-1:29 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-1:29 PM
Feb 21-1:33 PM
Standard deviations and percentiles 8 points
Data transformations 4 points
OGIVES 14 points
Normal curve questions 40 points
10 multiple choice questions 40 points
FRIDAY PART II - 20 points
using the 4 Normality methods 20 points
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Feb 10-7:15 AM
Chapter 2 Review: Multiple Choice
Sep 23-11:04 AM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 24-10:05 AM
Sep 24-10:05 AM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-9:41 AM
Sep 23-9:41 AM
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February 10, 2016
Sep 23-9:41 AM
Sep 23-9:41 AM
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February 10, 2016
Sep 23-9:41 AM
Sep 23-9:42 AM
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February 10, 2016
Sep 23-9:42 AM
Sep 23-9:42 AM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-9:42 AM
Sep 23-9:42 AM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 23-9:42 AM
Sep 23-9:42 AM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 22-3:20 PM
Sep 22-3:20 PM
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February 10, 2016
Sep 22-3:22 PM
Oct 2-3:06 PM
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February 10, 2016
Oct 2-3:07 PM
Sep 28-12:37 PM
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February 10, 2016
Sep 29-9:20 AM
Sep 22-3:43 PM
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February 10, 2016
Sep 22-3:43 PM
Sep 22-3:43 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 22-3:43 PM
Sep 22-3:44 PM
Chapter 2 Section Review day 2016s Notes.notebook
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February 10, 2016
Sep 22-3:44 PM
Oct 4-9:17 AM
great white sharks is roughly symmetric. It is roughly bell shaped. It appears to be very roughly normal.
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February 10, 2016
Feb 6-12:33 PM
x = 15.59 Sx = 2.55_
7.94 10.49 13.04 15.59 18.14 20.69 23.24
30
n = 44
42
44
13.04 18.143044 0.68 perfect
10.49 20.694244 0.95 perfect
7.94 23.24 4444
1.00 almost
perfect
ALMOST PERFECT
Feb 6-12:32 PM
IQRs
= = 1.43 17.2-13.55
2.55
This value is very close to 1.34, meaning
that the middle 50% of data spreads out
almost exactly the number of standard
deviations required to be considered
normally distributed.
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February 10, 2016
Sep 28-8:59 AM
The normal probability plot shows no major
deviations from linear (a straight line). The
data set can be considered to be normally
distributed.
Feb 6-12:36 PM
This data set should be considered Normally Distributed.
All four of the methods provide an analysis that show that original data to be normally distributed. It is not a perfect match but the only concern is the outlier at the top of the data set.
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February 10, 2016
Oct 10-10:50 AM
OPTIONAL: extra MC practice
page 138-140: 1 - 10
Mar 3-3:45 PM
T2.1. Many professional schools require applicants to take a standardized test. Suppose that 1000 students take such a test. Several weeks after the test, Pete receives his score
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February 10, 2016
Mar 3-3:49 PM
T2.2. For the Normal distribution shown, the standard deviation is closest to
5-2=3> (a) 0
> (b) 1
> (c) 2
> (d) 3
> (e) 5
Mar 3-3:51 PM
corrected by adding 0.1 pH units to all of the values and then multiplying the result by
(4.60+0.1)(1.2) = 5.64
(1.10)(1.2) = 1.32
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February 10, 2016
Mar 3-3:51 PM
60 - 20 = 40%
Mar 3-3:52 PM
distributed with a mean of 55 inches. If the snowfall in Chillyville exceeds 60 inches in 15% of the years, what is the standard deviation?
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February 10, 2016
Sep 29-12:12 PM
Mar 3-3:53 PM
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February 10, 2016
Mar 3-3:53 PM
T2.7. If the heights of a population of men follow a Normal distribution, and 99.7% have heights between 5′0″ and 7′0″, what is your estimate of the standard deviation of the heights in this
1 foot = 12 inches
12/3 = 4 inches
Mar 3-3:54 PM
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February 10, 2016
Mar 3-3:54 PM
z = _500-470 = 0.27110
Mar 3-3:55 PM
z = _500-470 = 0.27110
z = _530-515 = 0.129116