Introduction to Business Statistics
7th Edition
ISBN: 9781111792374
Author: WEIERS
Publisher: Cengage Learning
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Chapter 2.5, Problem 2.40E
To determine
To explain:
The possible slope of best fit straight line when no relationship exists between two variables.
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GISS
Worksheet 10
Jesse runs a small business selling and delivering mealie meal to the spaza shops.
He charges a fixed rate of R80, 00 for delivery and then R15, 50 for each packet of
mealle meal he delivers. The table below helps him to calculate what to charge
his customers.
10
20
30
40
50
Packets of mealie
meal (m)
Total costs in Rands
80
235
390
545
700
855
(c)
10.1.
Define the following terms:
10.1.1. Independent Variables
10.1.2. Dependent Variables
10.2.
10.3.
10.4.
10.5.
Determine the independent and dependent variables.
Are the variables in this scenario discrete or continuous values? Explain
What shape do you expect the graph to be? Why?
Draw a graph on the graph provided to represent the information in the
table above.
TOTAL COST OF PACKETS OF MEALIE MEAL
900
800
700
600
COST (R)
500
400
300
200
100
0
10
20
30
40
60
NUMBER OF PACKETS OF MEALIE MEAL
Chapter 2 Solutions
Introduction to Business Statistics
Ch. 2.2 - What is a frequency distribution? What benefits...Ch. 2.2 - Prob. 2.2ECh. 2.2 - The National Safety Council reports the following...Ch. 2.2 - Prob. 2.4ECh. 2.2 - Prob. 2.5ECh. 2.2 - Using the frequency distribution in Exercisc 2.5,...Ch. 2.2 - What is meant by the statement that the set of...Ch. 2.2 - For commercial banks in each state, the U.S....Ch. 2.2 - The accompanying data describe the hourly wage...Ch. 2.2 - The following performance scores have been...
Ch. 2.2 - During his career in the NHL, hockey great Wayne...Ch. 2.2 - According to the U.S. Department of Agriculture,...Ch. 2.2 - Convert the distribution in Exercise 2.3 to a...Ch. 2.2 - Prob. 2.14ECh. 2.2 - Using the frequency distribution obtained in...Ch. 2.2 - For the frequency distribution constructed in...Ch. 2.2 - Prob. 2.17ECh. 2.2 - Prob. 2.18ECh. 2.2 - Prob. 2.19ECh. 2.3 - Construct a stem-and-leaf display for the...Ch. 2.3 - Prob. 2.21ECh. 2.3 - In the following stem-and-leaf display for a set...Ch. 2.3 - Prob. 2.23ECh. 2.3 - Prob. 2.24ECh. 2.3 - Prob. 2.25ECh. 2.3 - Prob. 2.26ECh. 2.3 - Prob. 2.28ECh. 2.4 - What is the difference between a histogram and a...Ch. 2.4 - Prob. 2.30ECh. 2.4 - Prob. 2.31ECh. 2.4 - Prob. 2.32ECh. 2.4 - Prob. 2.33ECh. 2.4 - Prob. 2.34ECh. 2.4 - It has been estimated that 92.9% of U.S....Ch. 2.4 - Prob. 2.37ECh. 2.5 - What is a scatterplot, and for what kind of data...Ch. 2.5 - Prob. 2.39ECh. 2.5 - Prob. 2.40ECh. 2.5 - Prob. 2.41ECh. 2.5 - For six local offices of a large tax prepartion...Ch. 2.5 - In the 2009 stress tests applied to the nation’s...Ch. 2.5 - Prob. 2.44ECh. 2.5 - Prob. 2.45ECh. 2.6 - Prob. 2.46ECh. 2.6 - Difference between simple tabulation and...Ch. 2.6 - Prob. 2.48ECh. 2.6 - For the fleet described in Exercise 2.48, a....Ch. 2.6 - Prob. 2.50ECh. 2.6 - Prob. 2.51ECh. 2.6 - Prob. 2.52ECh. 2.6 - Prob. 2.53ECh. 2.6 - Prob. 2.54ECh. 2 - The breakdown of U.S. cities having a population...Ch. 2 - The National Oceanic and Atmospheric...Ch. 2 - Prob. 2.57CECh. 2 - Prob. 2.58CECh. 2 - Prob. 2.59CECh. 2 - Prob. 2.60CECh. 2 - The following stem-and-leaf output has been...Ch. 2 - For the period 2001—2008, the lristol-Myers Squibb...Ch. 2 - Prob. 2.63CECh. 2 - Prob. 2.64CECh. 2 - Prob. 2.65CECh. 2 - Prob. 2.66CECh. 2 - Prob. 2.67CECh. 2 - Prob. 2.68CECh. 2 - Prob. 2.69CECh. 2 - Prob. 2.70CECh. 2 - Using 10-yard intervals beginning with 200.0—under...Ch. 2 - Using the same intervals as in part 1, construct a...Ch. 2 - Prob. 1.3IC
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- Let X be a random variable with support SX = {−3, 0.5, 3, −2.5, 3.5}. Part ofits probability mass function (PMF) is given bypX(−3) = 0.15, pX(−2.5) = 0.3, pX(3) = 0.2, pX(3.5) = 0.15.(a) Find pX(0.5).(b) Find the cumulative distribution function (CDF), FX(x), of X.1(c) Sketch the graph of FX(x).arrow_forwardA well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected. a) Calculate the percentage of components that get rejected. b) In a manufacturing run of 1000 units, how many are expected to be rejected? c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.arrow_forward5. Let X and Y be independent random variables and let the superscripts denote symmetrization (recall Sect. 3.6). Show that (X + Y) X+ys.arrow_forward
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