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Applied Statistics in Business and Economics
5th Edition
ISBN: 9781259329050
Author: DOANE
Publisher: MCG
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Textbook Question
Chapter 2, Problem 32CE
Which measurement level (nominal, ordinal, interval, ratio) is each of the following variables?
- a. Number of annual office visits by a particular Medicare subscriber.
- b. Daily caffeine consumption by a six-year-old child.
- c. Type of vehicle driven by a college student.
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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
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).
Chapter 2 Solutions
Applied Statistics in Business and Economics
Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - What type of data (categorical, discrete...Ch. 2.1 - (a) Give three original examples of discrete data,...Ch. 2.1 - Which type of data (cross-sectional or time...Ch. 2.1 - Which type of data (cross-sectional or time...Ch. 2.1 - Prob. 7SECh. 2.1 - Give an original example of a time series variable...Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Which measurement level (nominal, ordinal,...
Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Which measurement level (nominal, ordinal,...Ch. 2.2 - Vail Resorts uses various types of scales and...Ch. 2.2 - (a) Would the measurement level for the data...Ch. 2.3 - Would you use a sample or a census to measure each...Ch. 2.3 - Would you use a sample or a census to measure each...Ch. 2.3 - The target population is all stocks in the SP 500...Ch. 2.4 - The target population is all students in your...Ch. 2.4 - Prob. 19SECh. 2.4 - Suppose you want to study the number of e-mail...Ch. 2.4 - In Excel, type a list containing names for 10 of...Ch. 2.6 - What sources of error might you encounter if you...Ch. 2.6 - What kind of survey (mail, telephone, interview,...Ch. 2.6 - What kind of survey (mail, telephone, interview,...Ch. 2.6 - Prob. 27SECh. 2.6 - What problems are evident in the wording of these...Ch. 2 - Define (a) data, (b) data set (c) observation, and...Ch. 2 - How do business data differ from scientific...Ch. 2 - Distinguish (a) univariate, bivariate, and...Ch. 2 - Define the four measurement levels and give an...Ch. 2 - Prob. 5CRCh. 2 - (a) List three reasons why a census might be...Ch. 2 - Prob. 7CRCh. 2 - (a) List four methods of random sampling. (b) List...Ch. 2 - List five (a) steps in a survey, (b) issues in...Ch. 2 - Prob. 10CRCh. 2 - Prob. 29CECh. 2 - Prob. 30CECh. 2 - Prob. 31CECh. 2 - Which measurement level (nominal, ordinal,...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Below are five questions from a survey of MBA...Ch. 2 - Prob. 36CECh. 2 - Identify the following data as either time series...Ch. 2 - Would you use a sample or a census to measure each...Ch. 2 - Would you use a sample or census to measure each...Ch. 2 - Is each of the following a parameter or a...Ch. 2 - Prob. 41CECh. 2 - Prob. 42CECh. 2 - Prob. 43CECh. 2 - Prob. 44CECh. 2 - The IRS estimates that the average taxpayer spent...Ch. 2 - The General Accounting Office conducted random...Ch. 2 - Arsenic (a naturally occurring, poisonous metal)...Ch. 2 - Prob. 48CECh. 2 - Would you expect Noodles Company to use a sample...Ch. 2 - Prob. 50CECh. 2 - Examine each of the following statistics. Which...Ch. 2 - The National Claims History (NCH) contains records...Ch. 2 - Prior to starting a recycling program, a city...Ch. 2 - A university wanted to survey alumni about their...Ch. 2 - To protect baby scallops and ensure the survival...Ch. 2 - Prob. 56CECh. 2 - Households can sign up for a telemarketing no-call...Ch. 2 - What level of measurement (nominal, ordinal,...Ch. 2 - Insurance companies are rated by several rating...Ch. 2 - A tabletop survey by a restaurant asked the...Ch. 2 - Give two original examples of (a) discrete data...Ch. 2 - Prob. 64CECh. 2 - Below are 64 names of employees at NilCo. Colors...Ch. 2 - From the display below, pick five cards (without...Ch. 2 - Prob. 69CECh. 2 - You can test Excels algorithm for selecting random...
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- A 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_forward8. Suppose that the moments of the random variable X are constant, that is, suppose that EX" =c for all n ≥ 1, for some constant c. Find the distribution of X.arrow_forward
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