Stat130 Case study Spring 2012
Circuit Systems, Incorporated is a company located in Northern California that produces integrated circuit boards for the
microcomputer industry. In addition to salaried management and office staff personnel, Circuit Systems
Frequency Distribution - Qualitative
Exercise Program
frequency
72
161
233
1
0
percent
30.9
69.1
100.0
Histogram
80
70
Pe rc e nt
60
50
40
30
20
10
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1
Exercise Program
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
ma
blu34978_ch02.qxd
7/30/08
3:35 PM
Page 35
Confirming Pages
C H A P T E
R
2
Frequency
Distributions
and Graphs
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Objectives
Outline
After completing this chapter, yo
STAT220
Spring 2012
Practice Midterm
1. Let A and B be events such that P(A) = 0.25 and P(B) = 0.16. Find P(A|B) if
(a) P(A B) = 0.06
(b) P(B|A) = 0.4
(c) P(AB) = 0.33
(d) A and B are independent
(e) A and B are mutually exclusive
2. Among employees of a
STAT210
Practice exercises for mid-term
Fall 2013
1. Hydraulic assemblies for landing gear produced by an aircraft rework facility are inspected for defects.
History shows that 10% have defects in the shafts, 8% have defects in the bushings, and 2% have d
STAT220
Spring 2012
Practice Midterm
1. Let A and B be events such that P(A) = 0.25 and P(B) = 0.16. Find P(A|B) if
(a) P(A B) = 0.06
(b) P(B|A) = 0.4
(c) P(AB) = 0.33
(d) A and B are independent
(e) A and B are mutually exclusive
2. Among employees of a
STAT210
Practice Final Exam
1. The wall thickness of 25 glass 2-liter bottles was measured by a quality-control engineer. The sample mean
was 4.058 mm, and the sample standard deviation was 0.081 mm.
(a) At 5% significance level, test whether the mean wal
STAT 210
Probability and
Statistics
Unit 1:Descriptive Statistics
Outline
Introduction to Statistics:
Graphical method:
Bar and pie charts, Histogram, Stem and leaf plot
Summary Statistics:
Measures of location, measures of variability,
boxplot
STAT210: P
Reading
Organising information for an essay
Skimming and scanning texts
Taking notes and explaining what you
have read
Vocabulary building; collocations
Ustenlng and speaking
Referring backwards and forwards in
presentations
Writing
Writing conclusi
Unauthorized copying or reuse of
any part of this page is illegal.
2|:l|:|:l DDEIZ
SECTION 2
Time — 25 minutes
20 Questions
_ Turn to Section 2 (page 4) of your answer sheet to answer the questions in this section.
Directions: For this section
H
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A
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B
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A
B
D
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C
F
OF
IN
OF
FOR
OF
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working
moving
buying
produced
grown
concerning
made
manufactured
resulting
people buying their own home is
made by the education
department was rejected by
that predicts future
containing more w
Practice: Application of Newton’s 2"” Law Physics 60A Term 1, AY 2015-2016
: Section: Date:
\_ —
Instruction: Solve each problem on the space provided. Keep your solutions as neatly and as detailed as
possible. (5 marks each)
i
1. Two ropes are connecte
CHAPTER 5 REVIEW QUESTIONS
The answers and explanations can be found in Chapter 16. 21136:?“ JFWf D (ﬁxn‘k :- 0‘433 m
$5533 5153‘” ﬁ‘ﬂﬁaslna =n$3ln300 : 0.518
5. The coefﬁcrent of static friction betwee a box and a
Sectlﬂﬂ I: M Ice ramp is 0.5. The ramp’s
A measure of central tendency is a value that represents a typical, or central, entry
of data set. The three most commonly used measures of central tendency are the
mean, the median and the mode.
[1]
[2]
[3]
Index:
Mean.p3
Population Meanp4
Sample Mean.p4
5 Assumptions to KMT.
1- Gases consist of large numbers of tiny particles that are far
apart relative to their size.
2 Collisions between gas particles and between particles and
container walls are elastic collisions.
3 Gas particles are continuous, rapid
Navidi-38137
nav51607_06
August 1, 2006
Chapter
19:47
6
Hypothesis Testing
Introduction
In Example 5.2 (in Section 5.1) a sample of 50 microdrills had an average lifetime of
X = 12.68 holes drilled and a standard deviation of s = 6.83. Let us assume that
STA 2023
Practice Questions Exam 2
Chapter 7- sec 9.2
Formulas Given on the test:
Case
one
mean
one
prop.
parameter
p
estimato
r
standard error
x
p
Estimate of
standard error
s
n
p(1 p)
n
CI:
Sampling
Distribution
t (n-1)
n
p (1 p )
n
ST:
p 0 (1 p 0 )
n
M