1. Given below are information from a sample of single-pet owners (out of a total of 120 single-pet owners) in anexclusive housing complex.Age of PetOwnerSex ofAge of PetSex ofPetPetPetPetPetOwnerPetOwnerOwnedOwnerOwnedOwner(in years)Owner(in years)M16Dog14M28Others2F16Cat15F42Dog3M24Dog16F17Cat4F16Others17M23OthersF16Cat18M55DogM17Others19M18CatM30Cat20F40Dog855Dog21M16Others9M18Others22F38Dog10F25Cat23F61Cat1117Dog24M34Cat12M20Dog25F62Dog1321CatShow your complete solution to each problem.g. Compute the measures of variation of the ages of the pet owners.

Given: Age of pet owners 16 16 24 16 17 30 55 18 25 17 20 21

Answered: 1. Given below are information from a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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8. Find Q.D. and its coefficient from the following data. Class 130- 134 160- 155- 159 12 135- 140- 140- 145- 150- Interval 139 164 144 21 149 154 Frequency 3. 12 28 19 5
1. A hospital keeps a record of the number of males and females in different age groups who contract a particular disease. The data are summarized as follows: Age Groups: 10-25 26-40 41-55 56 + Male: 23, 34, 20, 64 Female: 31, 29, 55, 44 a) Are gender and age of contracting the disease independent of one another (a < .05)? b) A researcher believes that people in the 41-55 age group are three times as likely to develop the disease as are those in each of the two younger age groups, while those in the 56 + age group are only twice as likely (relative to those in the two youngest groups). The two youngest age groups are not expected to differ from each other. Do the data support these beliefs (a < .01)? c) It is also believed that, relative to males, the proportion of females in the 56 + age group that develops the disease is significantly different from the proportion of females in the 10-25 age group that develops the disease. Test this belief with a 5.05. Answers 1. a) x2 =…
Below are the income per capita of a sample of different households. Per Capita Income 21,500 37,325 25,049 18,998 24,122 23,615 25,771 25,922 21,551 24,447 21,708 25,028 23,152 25,106 21,385 20,247 25,239 21,096 20,393 26,210 23,002 24,786 21,056 24,217 27,579 21,080 30,023 27,360 24,775 27,489 28,821 28,976 32,902 29,219 26,889 28,066 37,700 24,302 25,979 33,953 26,924 19,373 29,932 24,007 27,667 20,008 21,387 25,184 Determine each of the following measures for the sample of income by using the appropriate Excel function. Place your answers in the highlighted cells. (a) mean (b) median (c) variance (d) standard deviation
15. Diameter of Douglas Fir Trees The diameter of the Douglas fir tree is measured at a height of 1.37 meters. The S following data represent the diameter in centimeters of a random sample of 12 Douglas firs in the western Washington Cascades. 156 162 147 173 147 190 130 101 159 113 181 109 Source: L. Winter. "Live Tree and Tree-Ring Records to Reconstruct the Structural Development of an Old-Growth Douglas Fir/Western Hemlock Stand in the Western Washington Cascades." Corvallis, OR: Forest Science Data Bank, 2005. (a) Obtain a point estimate for the mean and standard deviation diameter of a Douglas fir tree in the western Washington Cascades. (b) Because the sample size is small, we must verify that the data come from a population that is normally distributed and that the data do not contain any outliers. The figures show the normal probability plot and boxplot. The correlation between the tree diameters and expected z-scores is 0.982. Use Option 1 or Option 2 to determine if the…
Is there a relation between murder and arson? A random sample of 15 Midwest cities (over 10,000 population) gave the following information about an annual number of murder and arson cases. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.) City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Murder 13 11 24 15 14 10 19 20 22 16 18 6 21 8 17 Arson 96 47 92 72 38 36 162 80 111 85 84 37 146 4 51 Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of murder and arson. (a) Rank-order murder using 1 as the largest data value. Also, rank-order arson using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. City MurderRank x ArsonRank y d = x - y d2 123456789101112131415 Σd2 = please show formula or steps explain your answer
3. A particular report included the following table classifying 815 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 52 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 76 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 192 9 p.m. to midnight 135 For purposes of this exercise, assume that these 815 bicycle accidents are a random sample of fatal bicycle accidents. Suppose a safety office proposes that bicycle fatalities are twice as likely to occur between noon and midnight as during midnight to noon and suggests the following hypothesis: Ha: p1 > 1/3, p2>2/3 Ha: p1 ≠1/33, p2=2/3 Ha: p1 =1/3,p2=2/3 Ha: H0 is not true. Ha: p1 >1/3,p2<2/3 x2=______? p-value______? State the conclusion in the problem context. Reject H0. There is convincing evidence to conclude that bicycle fatalities are not twice as likely to…
13. Does income increase when you get married? To investigate this, a college student has randomly selected people from his college town and collected income data for these people. They were categorized according to their marital status. The following results (in thousands of dollars) were obtained. ? Marital status Income ($1000) Income ($1000) Income ($1000) Income ($1000) Income ($1000) Married 136 116 82 166 72 Not married 33 78 76 125 80 Use the Wilconxon signed-rank test to determine if the income for married people has values that are systematically larger than for unmarried people. Perform on the 5% level (α = 0.05). What is your conclusion? (10p) A complete answer should be given that is easy to follow step by step.
1.The weight and systolic blood pressure of 26 randomly selected males in the age group 25 to 30 are shown in the following table. Assume that weight and blood pressure are jointly normally distributed. Systolic Systolic Subject Weight ВР Subject Weight ВР 1 165 130 14 172 153 2 167 133 15 159 128 3. 180 150 16 168 132 4 155 128 17 174 149 212 151 18 183 158 6. 175 146 19 215 150 7 190 150 20 195 163 8 210 140 21 180 156 200 148 22 143 124 10 149 125 23 240 170 11 158 133 24 235 165 12 169 135 25 192 160 13 170 150 26 187 159 (a) Find a regression line relating systolic blood pressure to weight. (b) Test for significance of regression using a = 0.05 (c) Estimate the correlation coefficient. LO
6. The following table shows the marks of 12 students in Accounts and' Q.T. . Determine the coefficient of correlation. Marks in 65 40 35 75 65 80 35 20 85 65 55 33 ассоuntancy Marks in Q.T 30 55 68 28 76 25 80 85 2035 45 65
Question The following data represent the time of unit failures, in seconds. 37 25 33 31 43 34 36 22 41 31 35 42 35 30 45 32 37 30 26 34 33 38 31 47 29 33 39 37 44 32 19 41 34 47 38 16 31 26 32 39 Classify data into seven classes and complete the missing information in the table: Class С.В. С.L. С.М. F R.F P ACF RACF PACF DCF RDCF PDCF 1 2 3 4 5 7 Where: C.B.= Class Boundaries, C.L.= Class Limits, C.M.= Class Mark, F= Frequency, R.F.= Relative frequency, P= Percentage, ACF=Ascending Cumulative Frequency, RACF= Relative Ascending cumulative frequency, PACF= Percentage Ascending cumulative frequency, DCF= Descending cumulative frequency, RDCF= Relative %3D Descending cumulative frequency, PDCF= Percentage Descending cumulative frequency.
2. Below are the distances travelled (km) by a sample of workers of a call center on their way to work every day. 5.0 30.3 14.7 19.2 12.8 12.2 14.5 9.2 6.2 9.0 16.6 15.8 19.6 22.9 41.6 11.4 17.3 31.1 9.6 52.7 17.3 12.3 5.1 8.6 11.2 a. Make a Stem Leaf.
18. A poll was taken of 14,056 working adults aged 40-70 to determine their level of education. The participants were classified by sex and by level of education. The results were as follows. Male Female Total Education Level High School or Less Bachelor's Degree 3141 2434 5575 3619 3761 7380 472 Master's Degree 534 52 43 7346 6710 14,056 1006 95 Ph.D. Total A person is selected at random. Compute the following probabilities: (d) The probability that the selected person is male, given he has a Master's degree (e) The probability that the selected person does not have a Master's degree, given it is a male (f) The probability that the selected person is female, given that she has a Bachelor's degree (g) The probability that the selected person has a Ph.D, given it is a female

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