Elementary Statistics
12th Edition
ISBN: 9780321836960
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 12, Problem 6CQQ
To determine
To explain: The use of the one-way analysis of variance.
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Please provide the solution for the attached image in detailed.
20 km, because
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 12 Solutions
Elementary Statistics
Ch. 12.2 - In Exercises 1-4, use the following listed chest...Ch. 12.2 - Prob. 2BSCCh. 12.2 - In Exercises 1-4, use the following listed chest...Ch. 12.2 - Prob. 4BSCCh. 12.2 - In Exercises 516, use analysis of variance for the...Ch. 12.2 - In Exercises 516, use analysis of variance for the...Ch. 12.2 - Highway Fuel Consumption Data Set 14 in Appendix B...Ch. 12.2 - City Fuel Consumption Data Set 14 in Appendix B...Ch. 12.2 - Head Injury Crash Test Data Exercises 14 use chest...Ch. 12.2 - Pelvis Injury Crash Test Data Exercises 14 use...
Ch. 12.2 - Prob. 11BSCCh. 12.2 - Prob. 12BSCCh. 12.2 - Prob. 13BSCCh. 12.2 - Prob. 14BSCCh. 12.2 - Prob. 15BSCCh. 12.2 - Prob. 16BSCCh. 12.2 - Tukey Test A display of the Bonferroni test...Ch. 12.3 - Prob. 1BSCCh. 12.3 - Prob. 2BSCCh. 12.3 - Prob. 3BSCCh. 12.3 - Prob. 4BSCCh. 12.3 - Prob. 5BSCCh. 12.3 - Car Crash Tests The following table lists results...Ch. 12.3 - Prob. 7BSCCh. 12.3 - Prob. 8BSCCh. 12.3 - Self-Esteem The following table lists measures of...Ch. 12.3 - Prob. 10BSCCh. 12.3 - Prob. 11BBCh. 12 - Measures of Voltage The author measured voltage...Ch. 12 - Prob. 2CQQCh. 12 - Prob. 3CQQCh. 12 - Prob. 4CQQCh. 12 - Prob. 5CQQCh. 12 - Prob. 6CQQCh. 12 - Prob. 7CQQCh. 12 - Prob. 8CQQCh. 12 - Using the same results given in Exercise 8, does...Ch. 12 - Prob. 1RECh. 12 - Prob. 2RECh. 12 - Tar in Cigarettes Data Set 10 in Appendix B...Ch. 12 - Smoking, Body Temperature, Gender The table below...Ch. 12 - Prob. 1CRECh. 12 - Prob. 2CRECh. 12 - Prob. 3CRECh. 12 - Prob. 4CRECh. 12 - In Exercises 1-5, refer to the following list of...Ch. 12 - Freshman 15: Correlation/Regression listed below...Ch. 12 - Platelets: Normal Distribution Based on Data Set 1...Ch. 12 - Job Priority Survey USA Today reported about an...Ch. 12 - Prob. 9CRECh. 12 - Lottery: Goodness-of-Fit The bars in the histogram...Ch. 12 - Prob. 10CQQCh. 12 - Chocolate Chips Revisited The Chapter Problem for...
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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
- 9. The concentration function of a random variable X is defined as Qx(h) = sup P(x ≤ X ≤x+h), h>0. Show that, if X and Y are independent random variables, then Qx+y (h) min{Qx(h). Qr (h)).arrow_forward10. Prove that, if (t)=1+0(12) as asf->> O is a characteristic function, then p = 1.arrow_forward9. The concentration function of a random variable X is defined as Qx(h) sup P(x ≤x≤x+h), h>0. (b) Is it true that Qx(ah) =aQx (h)?arrow_forward
- 3. Let X1, X2,..., X, be independent, Exp(1)-distributed random variables, and set V₁₁ = max Xk and W₁ = X₁+x+x+ Isk≤narrow_forward7. Consider the function (t)=(1+|t|)e, ER. (a) Prove that is a characteristic function. (b) Prove that the corresponding distribution is absolutely continuous. (c) Prove, departing from itself, that the distribution has finite mean and variance. (d) Prove, without computation, that the mean equals 0. (e) Compute the density.arrow_forward1. Show, by using characteristic, or moment generating functions, that if fx(x) = ½ex, -∞0 < x < ∞, then XY₁ - Y2, where Y₁ and Y2 are independent, exponentially distributed random variables.arrow_forward
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