2.57
THE REAL ESTATE SALES PRICE CASE
RealEst
A real estate agency collects data concerning y = the sales price of a house (in thousands of
dollars), and x = the home size (in hundreds of square feet)
2.45
A
B
Construct a cross-tabulation table using cola preference (Rola or Koka) as the row variable
and Rola-Cola purchase history (Yes or No) as the column variable. Based on the table,
answer the f
2.17
Consider the
frequency distribution
exam scores given
below.
a
Develop a relative frequency distribution and a percent frequency distribution.
b
Develop a cumulative frequency distribution and a
3.22
In order to control costs, a company wishes to study the amount of money its sales force
spends entertaining clients. The following is a random sample of six entertainment expenses
(dinner costs
2.18
A
B
C
E
a
If the number of classes is 6, find the class interval width
b
Define the nonoverlapping classes for a frequency distribution.
c
Develop a frequency distribution.
e
Draw the frequency h
3.26 Consider the 63 automatic teller machine (ATM) transaction times given in Table 3.6 above. See the attached data file
ATMtime
a Construct the box-plot (Whisker plot) for the 63 ATM transaction ti
A multiple choice question on an exam has four possible responses(a), (b), (c), and (d). When
250 students take the exam, 100 give response (a), 25 give response (b), 75 give response (c), and
50 give
2.8 Fifty randomly selected adults who follow professional sports were asked to name their favorite professional sports league. The
results are as follows where MLB = Major League Baseball, MLS = Majo
1. In a certain city, there are 100000 persons age 18 to 24. A simple random
sample of 500 such persons is drawn , of whom 194 turn out to be currently
enrolled in college. Estimate the percentage of
1. A pair of dice is thrown. What is the probability that the sum of the spots
is 5?
2. Two draws are made at random with replacement from a box with 5
tickets; labeled 1, 2, 3, 4, 5. What is the prob
1. A computer is programmed to compute various chances. Match the numerical answers with the verbal descriptions (which may be used more
than once).
Numerical Answer
(a) -50%
(b) 0%
(c) 10%
(d) 50%
(e
Histogram exercises
July 6, 2017
1. The table below gives the distribution of educational levels for persons
age 25 and over in the U.S. in 1960, 1970, and 1991. (Educational level
means the number of
1. A machine has been designed to toss a coin automatically and keep track
of the number of heads. After 1000 tosses, it has 550 heads. Express the
chance error both in absolute terms and as a percent
1. Find the number of different ways of arranging one R and three Gs in a
row. Write out all the patterns.
2. Find the number of different ways of arranging two Rs and two Gs in a
row. Write out all t
1. A university has 25000 students of whom 10000 are older than 25. The
registrar draws a simple random sample of 400 voters.
(a) Find the expected value and standard error for the number of students
Average and standard deviation exercises
July 6, 2017
1. A list has 10 entries. Each entry is either 1 or 2 or 3. What must the list
be if the average is 1? If the average is 3? Can the average be 4?
1. Find the expected value for the sum of 100 draws at random with replacement from the box
(a) that has four tickets: one labeled 0, two labeled 1, and one
labeled 6
(b) that has four tickets: one l
Normal curve exercises
July 6, 2017
1. On a certain exam, the average of the scores was 50 and the standard
deviation was 10.
(a) Convert each of the following scores to standard units: 60, 45, 75.
(b
Math 147
Lecture Notes: Lecture 13
Walter Carlip
February, 2016
All generalizations are false, including this one.
Samuel Clemens (aka Mark Twain) (1835 - 1910)
Figures dont lie, but liars do figure.
Chapter 3
2.
a. There are more children at age 1 because the area is larger (bigger percentage)
b. There are more 61 year olds
c. There are more people age 0-4
d. The percentage of people ages 35 and
Nabila Rahman
Math 148
September 1, 2016
Prof. Fochler
Math 148 Elementary Bio Stats
Fall 2016 HW 01
4a) To specifically eliminate and differentiate between the different genders and their age
groups.
Test of Independence
Observed Frequencies
Gender
Male
Female
Total
Beer Peference
Light
Regular
Dark
20
40
20
30
30
10
50
70
30
Total
80
70
150
Expected Frequencies
Gender
Male
Female
Total
Beer Pefer
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
Golfer
Female
Male
Female
Male
Male
Female
Male
Male
Female
Male
Male
Male
Male
Male
Fe
Company
Dividend P/E Ratio
Albertsons
Yes
14
BRE Prop
Yes
18
CityNtl
Yes
16
DelMonte
No
21
EnrgzHldg
No
20
Ford Motor Yes
22
Gildan A
No
12
HudsnUtdBcp Yes
13
IBM
Yes
22
JeffPilot
Yes
16
KingswayFin N
Goodness of Fit Test
Observed
Frequency
48
98
54
Expected
Frequency
60
100
40
Calculations
2.40
0.04
4.90
Test Statistic
7.34
Degrees of Freedom
2
p-Value
0.0255