Discrete Mathematics
5th Edition
ISBN: 9780134689562
Author: Dossey, John A.
Publisher: Pearson,
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Chapter 3, Problem 41SE
To determine
To calculate: The number of elements of
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Variable Temperature (X) Coffees sold (Y)
Mean 35.08 29,913
Standard Deviation 16.29 12,174
Correlation -0.741
13
A golf analyst measures the total score and
number of putts hit for 100 rounds of golf an
amateur plays; you can see the summary of
statistics in the following table. (See the
figure in Question 3 for a scatterplot of this
data.)noitoloqpics bella
a. Is it reasonable to use a line to fit this
data? Explain.
101 250
b. Find the equation of the best fitting
15er regression line.
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Variable on
Mean
Standard
Correlation
92
Deviation
Total score (Y) 93.900
7.717 0.896
Putts hit (X)
35.780 4.554
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anil er 08,080.0 zl noitsism.A
How ath
Variable Bone loss (Y) Age (X)
Mean 35.008. 67.992
Standard Deviation 7.684 10.673
Correlation 0.574
Chapter 3 Solutions
Discrete Mathematics
Ch. 3.1 - In Exercises 1–8, find the quotient and remainder...Ch. 3.1 - Prob. 2ECh. 3.1 - Prob. 3ECh. 3.1 - In Exercises 1–8, find the quotient and remainder...Ch. 3.1 - In Exercises 1–8, find the quotient and remainder...Ch. 3.1 - Prob. 6ECh. 3.1 - Prob. 7ECh. 3.1 - Prob. 8ECh. 3.1 - Prob. 9ECh. 3.1 - Prob. 10E
Ch. 3.1 - Prob. 11ECh. 3.1 - Prob. 12ECh. 3.1 - Prob. 13ECh. 3.1 - In Exercises 9–16, determine whether p ≡ q (mod...Ch. 3.1 - Prob. 15ECh. 3.1 - Prob. 16ECh. 3.1 - Prob. 17ECh. 3.1 - Prob. 18ECh. 3.1 - Prob. 19ECh. 3.1 - In Exercises 17–36, perform the indicated...Ch. 3.1 - Prob. 21ECh. 3.1 - Prob. 22ECh. 3.1 - Prob. 23ECh. 3.1 - Prob. 24ECh. 3.1 - Prob. 25ECh. 3.1 - Prob. 26ECh. 3.1 - Prob. 27ECh. 3.1 - In Exercises 17–36, perform the indicated...Ch. 3.1 - Prob. 29ECh. 3.1 - Prob. 30ECh. 3.1 - Prob. 31ECh. 3.1 - Prob. 32ECh. 3.1 - Prob. 33ECh. 3.1 - In Exercises 17–36, perform the indicated...Ch. 3.1 - Prob. 35ECh. 3.1 - Prob. 36ECh. 3.1 - Prob. 37ECh. 3.1 - A hospital heart monitoring device uses two feet...Ch. 3.1 - Prob. 39ECh. 3.1 - Use Example 3.2 to determine the correct check...Ch. 3.1 - Prob. 41ECh. 3.1 - Federal Express packages carry a 10-digit...Ch. 3.1 - Prob. 43ECh. 3.1 - Use the formula in Example 3.7 to determine all...Ch. 3.1 - Let A denote the equivalence class containing 4 in...Ch. 3.1 - Prob. 46ECh. 3.1 - Let R be the equivalence relation defined in...Ch. 3.1 - Show that there exist integers m, x, and y such...Ch. 3.1 - Prob. 49ECh. 3.1 - A project has the nine tasks T1, T2, T3, T4, T5,...Ch. 3.1 - Prob. 51ECh. 3.1 - Prob. 52ECh. 3.2 - List, in increasing order, the divisors of 45
Ch. 3.2 - Prob. 2ECh. 3.2 - Prob. 3ECh. 3.2 - List, in increasing order, the common divisors of...Ch. 3.2 - Prob. 5ECh. 3.2 - Prob. 6ECh. 3.2 - Prob. 7ECh. 3.2 - Prob. 8ECh. 3.2 - Prob. 9ECh. 3.2 - In Exercises 5–10, make a table such as the one...Ch. 3.2 - Prob. 11ECh. 3.2 - Prob. 12ECh. 3.2 - Prob. 13ECh. 3.2 - Prob. 14ECh. 3.2 - Prob. 15ECh. 3.2 - Prob. 16ECh. 3.2 - Prob. 17ECh. 3.2 - In Exercises 13–18, make a table such as the one...Ch. 3.2 - Prob. 19ECh. 3.2 - In Exercises 19–22, use the Euclidean algorithm to...Ch. 3.2 - Prob. 21ECh. 3.2 - Prob. 22ECh. 3.2 - Prob. 23ECh. 3.2 - Prob. 24ECh. 3.2 - Prob. 25ECh. 3.2 - In Exercises 23–26, use the extended Euclidean...Ch. 3.2 - Prob. 27ECh. 3.2 - Prob. 28ECh. 3.2 - Prob. 29ECh. 3.2 - Prob. 30ECh. 3.2 - Prob. 31ECh. 3.2 - Prob. 32ECh. 3.2 - Prob. 33ECh. 3.3 - Prob. 1ECh. 3.3 - In Exercises 1–4, change the given plaintext...Ch. 3.3 - Prob. 3ECh. 3.3 - In Exercises 1–4, change the given plaintext...Ch. 3.3 - Prob. 5ECh. 3.3 - In Exercises 5–10, apply the modular...Ch. 3.3 - Prob. 7ECh. 3.3 - In Exercises 5–10, apply the modular...Ch. 3.3 - Prob. 9ECh. 3.3 - Prob. 10ECh. 3.3 - Prob. 11ECh. 3.3 - In Exercises 11–14, find b corresponding to the...Ch. 3.3 - Prob. 13ECh. 3.3 - Prob. 14ECh. 3.3 - Prob. 15ECh. 3.3 - Prob. 16ECh. 3.3 - Prob. 17ECh. 3.3 - Prob. 18ECh. 3.3 - Prob. 19ECh. 3.3 - In Exercises 15–22, use the extended Euclidean...Ch. 3.3 - Prob. 21ECh. 3.3 - Prob. 22ECh. 3.3 - Prob. 23ECh. 3.3 - Suppose n = 93, E = 17, and the ciphertext message...Ch. 3.3 - Prob. 25ECh. 3.3 - Prob. 26ECh. 3.3 - Prob. 27ECh. 3.3 - Prob. 28ECh. 3.3 - Prob. 29ECh. 3.3 - Prob. 30ECh. 3.3 - Prob. 31ECh. 3.3 - Prob. 32ECh. 3.3 - Prob. 33ECh. 3.3 - Prob. 34ECh. 3.3 - Prob. 35ECh. 3.3 - Prob. 36ECh. 3.3 - Prob. 37ECh. 3.4 - In Exercises 1–8, determine the parity check digit...Ch. 3.4 - In Exercises 1–8, determine the parity check digit...Ch. 3.4 - Prob. 3ECh. 3.4 - Prob. 4ECh. 3.4 - Prob. 5ECh. 3.4 - Prob. 6ECh. 3.4 - Prob. 7ECh. 3.4 - In Exercises 1–8, determine the parity check digit...Ch. 3.4 - Prob. 9ECh. 3.4 - Prob. 10ECh. 3.4 - Prob. 11ECh. 3.4 - In Exercises 9–16, use formula (3.1) to determine...Ch. 3.4 - Prob. 13ECh. 3.4 - In Exercises 9–16, use formula (3.1) to determine...Ch. 3.4 - Prob. 15ECh. 3.4 - Prob. 16ECh. 3.4 - Prob. 17ECh. 3.4 - In Exercises 17–24, determine the Hamming distance...Ch. 3.4 - Prob. 19ECh. 3.4 - Prob. 20ECh. 3.4 - Prob. 21ECh. 3.4 - Prob. 22ECh. 3.4 - Prob. 23ECh. 3.4 - Prob. 24ECh. 3.4 - Prob. 25ECh. 3.4 - Prob. 26ECh. 3.4 - Prob. 27ECh. 3.4 - Prob. 28ECh. 3.4 - Prob. 29ECh. 3.4 - Prob. 30ECh. 3.4 - Prob. 31ECh. 3.4 - In Exercises 25–32, add the given codewords using...Ch. 3.4 - In Exercises 33–36, suppose that the minimal...Ch. 3.4 - In Exercises 33–36, suppose that the minimal...Ch. 3.4 - In Exercises 33–36, suppose that the minimal...Ch. 3.4 - Prob. 36ECh. 3.4 - Prob. 37ECh. 3.4 - Prob. 38ECh. 3.4 - Prob. 39ECh. 3.4 - Prob. 41ECh. 3.5 - Prob. 1ECh. 3.5 - In Exercises 1–4, determine the number of words in...Ch. 3.5 - Prob. 3ECh. 3.5 - Prob. 4ECh. 3.5 - Prob. 5ECh. 3.5 - Prob. 6ECh. 3.5 - Prob. 7ECh. 3.5 - In Exercises 5–8, suppose that the generator...Ch. 3.5 - Prob. 9ECh. 3.5 - Prob. 10ECh. 3.5 - In Exercises 9–12, determine the size of the check...Ch. 3.5 - In Exercises 9–12, determine the size of the check...Ch. 3.5 - If the check matrix of a matrix code is a 9 × 3...Ch. 3.5 - If the check matrix of a matrix code is an 11 × 4...Ch. 3.5 - Prob. 15ECh. 3.5 - In Exercises 15–20, determine all the codewords...Ch. 3.5 - Prob. 17ECh. 3.5 - Prob. 18ECh. 3.5 - Prob. 19ECh. 3.5 - Prob. 20ECh. 3.5 - Prob. 21ECh. 3.5 - Prob. 22ECh. 3.5 - Prob. 23ECh. 3.5 - In Exercises 21–28, determine the check matrix...Ch. 3.5 - Prob. 25ECh. 3.5 - Prob. 26ECh. 3.5 - Prob. 27ECh. 3.5 - Prob. 28ECh. 3.5 - Prob. 29ECh. 3.5 - Exercises 29 and 30, the check matrix A* for a...Ch. 3.5 - Prob. 31ECh. 3.5 - In Exercises 31–38, use Theorem 3.8(b) to...Ch. 3.5 - Prob. 33ECh. 3.5 - Prob. 34ECh. 3.5 - Prob. 35ECh. 3.5 - Prob. 36ECh. 3.5 - Prob. 37ECh. 3.5 - Prob. 38ECh. 3.5 - Prob. 39ECh. 3.5 - Consider the (3, 7)-code with generator...Ch. 3.5 - Prob. 41ECh. 3.5 - Find the generator matrix of the code that encodes...Ch. 3.5 - Prob. 43ECh. 3.6 - Prob. 1ECh. 3.6 - Prob. 2ECh. 3.6 - Prob. 3ECh. 3.6 - Prob. 4ECh. 3.6 - In Exercises 1–8, determine the syndrome of each...Ch. 3.6 - In Exercises 1–8, determine the syndrome of each...Ch. 3.6 - Prob. 7ECh. 3.6 - Prob. 8ECh. 3.6 - Prob. 9ECh. 3.6 - Prob. 10ECh. 3.6 - Prob. 11ECh. 3.6 - Prob. 12ECh. 3.6 - Prob. 13ECh. 3.6 - Prob. 14ECh. 3.6 - Prob. 15ECh. 3.6 - Prob. 16ECh. 3.6 - Prob. 17ECh. 3.6 - Prob. 18ECh. 3.6 - Prob. 19ECh. 3.6 - In Exercises 9–28, the given word was received...Ch. 3.6 - Prob. 21ECh. 3.6 - In Exercises 9–28, the given word was received...Ch. 3.6 - In Exercises 9–28, the given word was received...Ch. 3.6 - Prob. 24ECh. 3.6 - Prob. 25ECh. 3.6 - Prob. 26ECh. 3.6 - Prob. 27ECh. 3.6 - Prob. 28ECh. 3.6 - Prob. 29ECh. 3.6 - In Exercises 29 and 30, a check matrix and a list...Ch. 3.6 - Prob. 31ECh. 3.6 - Prob. 32ECh. 3.6 - Prob. 33ECh. 3.6 - In Exercises 31–34, determine the minimal value of...Ch. 3.6 - Prob. 35ECh. 3.6 - Prob. 36ECh. 3.6 - Prob. 37ECh. 3.6 - In Exercises 35–38, determine the smallest values...Ch. 3.6 - Prob. 39ECh. 3.6 - Prob. 40ECh. 3.6 - Prob. 41ECh. 3.6 - Prove by mathematical induction that r2 + 1 ≤ 2r...Ch. 3 - Prob. 1SECh. 3 - Prob. 2SECh. 3 - Determine whether each statement in Exercises 1–4...Ch. 3 - Prob. 4SECh. 3 - Prob. 5SECh. 3 - Prob. 6SECh. 3 - Prob. 7SECh. 3 - Prob. 8SECh. 3 - Prob. 9SECh. 3 - Prob. 10SECh. 3 - Prob. 11SECh. 3 - Prob. 12SECh. 3 - Prob. 13SECh. 3 - Prob. 14SECh. 3 - Prob. 15SECh. 3 - Prob. 16SECh. 3 - Prob. 17SECh. 3 - Prob. 18SECh. 3 - Prob. 19SECh. 3 - Prob. 20SECh. 3 - Prob. 21SECh. 3 - Prob. 22SECh. 3 - Prob. 23SECh. 3 - Prob. 24SECh. 3 - Prob. 25SECh. 3 - Prob. 26SECh. 3 - Prob. 27SECh. 3 - Prob. 28SECh. 3 - Prob. 29SECh. 3 - Prob. 30SECh. 3 - Prob. 31SECh. 3 - Prob. 32SECh. 3 - Prob. 33SECh. 3 - Prob. 34SECh. 3 - Prob. 35SECh. 3 - Prob. 36SECh. 3 - Prob. 37SECh. 3 - Prob. 38SECh. 3 - Prob. 39SECh. 3 - Prob. 40SECh. 3 - Prob. 41SECh. 3 - Prob. 42SECh. 3 - Prob. 43SECh. 3 - Prob. 44SECh. 3 - Prob. 45SECh. 3 - Prob. 46SECh. 3 - Prob. 47SECh. 3 - Prob. 48SECh. 3 - Prob. 49SECh. 3 - Prob. 50SECh. 3 - Prob. 51SECh. 3 - Prob. 52SECh. 3 - Prob. 53SECh. 3 - Prob. 54SECh. 3 - Prob. 55SECh. 3 - Prob. 56SECh. 3 - Prob. 57SECh. 3 - Prob. 58SECh. 3 - Prob. 59SECh. 3 - Prob. 60SECh. 3 - Prob. 62SECh. 3 - Prob. 63SECh. 3 - Prob. 64SECh. 3 - Prob. 65SECh. 3 - Prob. 66SECh. 3 - Prob. 67SECh. 3 - Prob. 68SECh. 3 - Prob. 69SECh. 3 - Prob. 70SECh. 3 - Prob. 71SECh. 3 - Prob. 72SECh. 3 - Prob. 73SECh. 3 - Prob. 2CPCh. 3 - Prob. 3CPCh. 3 - Prob. 4CPCh. 3 - Prob. 5CPCh. 3 - Prob. 6CPCh. 3 - Prob. 7CP
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- 50 Bone Loss 30 40 20 Scatterplot of Bone Loss vs. Age . [902) 10 50 60 70 80 90 Age a sub adi u xinq (20) E 4 adw I- nyd med ivia .0 What does a scatterplot that shows no linear relationship between X and Y look like?arrow_forwardVariable Temperature (X) Coffees sold (Y) Mean 35.08 29,913 Standard Deviation 16.29 12,174 Correlation -0.741arrow_forward2 Find and interpret the value of r² for the rainfall versus corn data, using the table from Question 14.2291992 b sgen gnome vixists 992 ms up? 2910 1999 bio .blos estos $22 tolqis2 qs rieds ni zoti swoH iisqa vilsen od 1'meo DOV to mogers boangas mus jil Reustar enou Leption20th ) abnuin Hagodt graub 032 Carrow_forward
- 18 Using the results from the rainfall versus corn production data in Question 14, answer oy the following: DOY 98 103 LA Find and interpret the slope in the con- text of this problem. b. Find the Y-intercept in the context of this problem. roy gatiigisve Toy c. Can the Y-intercept be interpreted here? (.ob o grinisq blo eiqmaxs as 101 galwollol edt 998 ds most notamotni er griau sib 952) siqmaxs steb godt llaw worl pun MAarrow_forwardVariable mean standard variation correlation temperature(X) 35.08 16.29. -0,741 coffees sold(Y). 29,913. 12.174.arrow_forward12 ம் Y si to no 1672 1 A medical researcher measures bone density and the age of 125 women; you can see the o lesummary of statistics in the following table. (See the figure in Question 2 for a scatterplot of this data.) a. How well will a line fit this data? b. Find the equation of the best fitting regression line. Variable Mean Standard Correlation Deviation Bone loss (Y) 35.008 7.684 0.574 A Age (X) 19 67.992 10.673 T in send art lo (d) sqala sala bolt 3 esmit sqola ad garrow_forward
- In a study of 70 undergraduate students and 47 graduate students, the undergraduates had a mean reported number of hours sleeping of 6.0998 with a standard deviation of 1.1085 hrs. The graduate students had a mean of 6.6255 hours with a standard deviation of 1.8992 hours. Use StatCrunch and a significance level of 0.05 to run the t-test. What is the test statistic? What is the p-value associated with that test statistic? Give the most appropriate conclusion in context There is not evidence to reject the claim that undergraduates sleep the less than graduate students. There is evidence to support the claim that undergraduates sleep less than graduate students. We accept the claim that undergraduates sleep less than graduate students. Undergraudates sleep the same amount of time as graduate students.arrow_forward1 14 Agricultural scientists try to predict corn sed production by using annual rainfall. They measure crop yields (bushels per acre) and besnil annual rainfall (inches) for 150 one-acre Xlo plots; you can see the summary of statistics to sgn in the following table. sulay X a. lg noy nativ Identify the X variable and the Y variable in this problem. b. Find and try to interpret the slope in the en adi gnis context of corn and rainfall. (More prac- qo X to tice on interpretation in the next section.) 6 Variable Mean Standard Correlation Deviation remis Rainfall 47.844 47.844 9.38 9.38 0.608 Corn 150.77 19.76 itsch mot sugiterü gizl e di mot) moldong signers dziw Y bas Xgnitis"arrow_forward14 Agricultural scientists try to predict corn dm production by using annual rainfall. They sb measure crop yields (bushels per acre) and annual rainfall (inches) for 150 one-acre plots; you can see the summary of statistics ag in the following table. solv a. Identify the X variable and the Y variable in this problem. b. Find and try to interpret the slope in the or gris context of corn and rainfall. (More prac- 03 X to tice on interpretation in the next section.) gob 11.Y to smontuo ed i sad s 6 Variable Mean Standard Deviation Correlation niroq Rainfall 47.844 do no 47.844 9.38 0.608 10 Corn 150.77 19.76 to s fods about sugi orgiearrow_forward
- 13 A wol number of putts hit for 100 rounds of golf an amateur plays; you can see the summary of guig statistics in the following table. (See the anteu figure in Question 3 for a scatterplot of this nobis data.) moitoloqorxs bel nedW Diplogos bello al silos a. Is it reasonable to use a line to fit this data? Explain. b. Find the equation of the best fitting pl97 1590 regression line. zazumɔ X ni ogrados em noob Y to sul Variablem Mean Standard Correlation E Deviation 870 Total score (Y) 93.900 7.717 0.896 1211 Putts hit (X) 35.780 4.554 tot anolinibong solam riss uoy X to asulsy doldw grib onil edi 08,080.0 xl notion ofT.A od? How atharrow_forwardbropupme 7 Using the toddler data table in Question 1, describe the toddlers in the sample with joint101 probabilities only. It TOTAL: 4+24+2+12=42 (mn LH) 4/42 = 2/21=0.0952 adrat aoismet to nothogong ad d zon xe jooge fox (D) rots (300): 60 erit 15:arrow_forward12 A medical researcher measures bone density and the age of 125 women; you can see the d of summary of statistics in the following table. (See the figure in Question 2 for a scatterplot of this data.) D 30 a. How well will a line fit this data? b. Find the equation of the best fitting regression line. Variable Mean Standard Correlation Y Deviation Bone loss (Y) 35.008 7.684 0.574 Age (X) 1967.992 10.673 Lasarrow_forward
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