One way to measure a person's fitness is to measure their percentage of body fat. Average body fat percentage varies with age, but according to certain guidelines, the normal range for men is 15-20% body fat, and for women, 20-25%. The sample data comes from a group of men and women who exercised in a gym three times a week for one year. His trainer then measured his body fat. The data is shown in the following table.Determine the descriptive statistics of the sample.Does the sample have a normal distribution? Explain why.State the statistical hypotheses: H0 and HA.Determine the αIs this test one or two tailed?What statistical conclusion did you reach regarding the question being evaluated? GroupingBody Fat Percentages Men13.3620814191825162415115Women221621.72130261223.22823 1617192021225512131410678345Ready12FileGet External NewData-Query-TextBox 1AHomeMenWomenVInsertGet & TransformShow QueriesFrom TableRecent SourcesX2Page Layout2Examen final de bioest-23 - ExcelBGrouping Body Fat PercentagesRefreshP3ConnectionsPropertiesAll-Edit LinksFormulasConnectionsP4 P513.322CData616Review21 32SortD1. Determine the descriptive statistics of the sample.2. Does the sample have a normal distribution? Explain why.3. State the statistical hypotheses: H0 and04. Determine the a5. Is this test one or two tailed?6. What statistical2021.7ViewFilterSort & FilterE821FormatClearReapplyAdvancedF1430conclusion did you reach regarding the question being evaluated?Text toColumns E Data ValidationGTell me what you want to do...Flash FillRemove Duplicates1926H1812TData Tools12523.2One way to measure a person's fitness is to measure their percentage of body fat. Average body fat percentage varies with age, butaccording to certain guidelines, the normal range for men is 15-20% body fat, and for women, 20-25%. The sample data comes from agroup of men and women who exercised in a gym three times a week for one year. His trainer then measured his body fat. The data isshown in the following table.+ ConsolidateRelationshipsManage Data ModelJ1628K24234▬▬COCOSFOTELWhat-If ForecastAnalysis SheetForecast15M1GroupĐỀ UngroupSubtotalOutlineN15JOYCE ROQUE RA+ Data AnalysisAnalysisPB11E

Men Women 13.3 22 6 16 20 21.7 8 21 14 30 19 26 18 12 25 23.2 16 28 24 23 15…

One way to measure a person's fitness is to measure their percentage of body fat. Average body fat percentage varies with age, but according to certain guidelines, the normal range for men is 15-20% body fat, and for women, 20-25%. The sample data comes from a group of men and women who exercised in a gym three times a week for one year. His trainer then measured his body fat. The data is shown in the following table. Determine the descriptive statistics of the sample. Does the sample have a normal distribution? Explain why. State the statistical hypotheses: H0 and HA. Determine the α Is this test one or two tailed? What statistical conclusion did you reach regardin

One way to measure a person's fitness is to measure their percentage of body fat. Average body fat percentage varies with age, but according to certain guidelines, the normal range for men is 15-20% body fat, and for women, 20-25%. The sample data comes from a group of men and women who exercised in a gym three times a week for one year. His trainer then measured his body fat. The data is shown in the following table. Determine the descriptive statistics of the sample. Does the sample have a normal distribution? Explain why. State the statistical hypotheses: H0 and HA. Determine the α Is this test one or two tailed? What statistical conclusion did you reach regardin

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter2: Systems Of Linear Equations

Section2.4: Applications

Problem 1EQ: 1. Suppose that, in Example 2.27, 400 units of food A, 600 units of B, and 600 units of C are placed...

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A state game commission introduces 40 deer into newly acquired state game lands. The population N of the herd can be modeled by
Interva l Class Mid f cf≤ cf≥ f.m Frequency% fm2 45≤50 47.5 3 3 29 142.5 10.34 6768.75 50≤55 52.5 7 10 26 367.5 24.14 19293.75 55≤60 57.5 4 14 19 230 13.79 13225 60≤65 62.5 5 19 15 312.5 17.24 19531.25 65≤70 67.5 2 21 10 135 6.9 9112.5 70≤75 72.5 5 26 8 362.5 17.24 26281.25 75≤80 77.5 3 29 3 232.5 10.34 18018.75 Total N=29 1782.5 100 112231.3 Use the data in the frequency distribution table above to calculate first quartile, range and inter quartile range.
2.62 For the period 2001–2008, the Bristol-Myers Squibb Company, Inc. reported the following amounts (in billions of dollars) for (1) net sales and (2) advertising and product promotion. The data are also in the file XR02062. Source: Bristol-Myers Squibb Company, Annual Reports, 2005, 2008. Year Net Sales Advertising/Promotion 2001 $16.612 $1.201 2002 16.208 1.143 2003 18.653 1.416 2004 19.380 1.411 2005 19.207 1.476 2006 16.208 1.304 2007 18.193 1.415 2008 20.597 1.550 For these data, construct a line graph that shows both net sales and expenditures for advertising/product promotion over time. Some would suggest that increases in advertising should be accompanied by increases in sales. Does your line graph support this?
Player Salary PC TD Age1 25.5566 65.2 28 272 22.0441 60.5 27 263 20.5000 62.3 27 284 19.0047 66.1 26 385 17.0000 67.9 29 286 15.0052 55 16 277 14.0057 68.8 33 338 12.9895 70.6 34 309 12.5073 60.3 22 3310 12.0000 68.4 33 4011 11.2554 48.8 3 2412 9.5000 60.5 21 2913 8.6018 63.1 21 2414 8.6000 64.7 30 2615 8.5000 60.9 15 3116 8.0073 65.7 28 3217 7.9073 58.3 22 2418 7.7516 66.6 26 2719 6.5073 56.7 5 3220 6.3250 55.5 8 3421 6.2562 60 17 3422 4.0073 60.5 18 2523 3.1000 53.3 13 2124 2.9956 55.9 9 2725 2.8648 64.5 20 2726 2.5450 53.8 12 2327 2.1673 58.7 10 2628 2.0079 53.1 8 2529 1.3800 54.5 10 2130 1.0950 62.1 21 2731 0.9503…
WAGE EDUC EXPER AGE GENDER RACE 1345 6 2 38 0 1 2435 4 18 52 1 1 1715 6 4 45 1 1 1461 6 4 58 1 1 1639 9 3 30 1 0 1345 5 8 43 0 1 1602 7 6 30 0 1 1144 4 3 33 0 0 1566 6 23 51 1 0 1496 4 15 37 1 1 1234 4 9 45 0 0 1345 6 3 55 0 1 1345 5 14 57 0 1 3389 9 16 36 1 1 1839 4 20 60 1 1 981 4 5 35 1 0 1345 9 10 34 0 1 1566 5 4 28 0 0 1187 6 1 25 0 1 1345 7 10 43 0 1 1345 9 2 42 0 1 2167 4 17 47 1 0 1402 11 2 46 1 1 2115 4 15 52 1 0 2218 8 11 64 1 1 3575 11 1 39 1 1 1972 4 1 39 1 1 1234 4 2 40 0 1 1926 5 9 53 1 0 2165 6 15 59 0 1 2365 6 12 35 0 0 1345 9 5 45 0 1 1839 4 14 37 0 0 2613 5 14 37 1 1 2533 11 3 43 1 1 1602 8 5 32 0 1 1839 9 18 40 0 1 2218 7 1 49 1 1 1529 4 10 43 0 0 1461 1 10 31 1 0 3307 9 22 45 1 1 3833 11 3 31 1 1 1839 4 14 55 1 0 1461 6 5 30 0 1 1433 9 3 28 1 0 2115 6 15 60 0 0 1839 4 13 32 1 0 1288 4 9 58 1 0 1288 6 4 29 0 0
Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. Repair Time(hours) Months SinceLast Service Type ofRepair Repairperson 2.9 2 electrical Dave Newton 3.0 6 mechanical Dave Newton 4.8 8 electrical Bob Jones 1.8 3 mechanical Dave Newton 2.9 2 electrical Dave Newton 4.9 7 electrical Bob Jones 4.2 9 mechanical Bob Jones 4.8 8 mechanical Bob Jones 4.4 4 electrical Bob Jones 4.5 6 electrical Dave Newton Ignore for now the months since the last maintenance service (x1 ) and the repairperson who performed the service. Develop the estimated simple linear regression equation to predict the repair time (y) given the…
city pop avginc pctstu rent 1 77759 19568 23.17031 342 2 141865 31885 20.98403 496 3 42099 21202 24.383 351 4 46209 29044 39.32784 588 5 110330 56307 16.5005 925 6 132605 35103 11.45658 630 7 83312 29407 29.77842 521 8 87758 26826 24.35903 422 9 130474 25811 14.57149 568 10 84770 21077 30.70308 383 11 124773 23453 27.23346 444 12 45734 14286 40.2239 347 13 63502 22967 33.18006 422 14 73233 22346 20.32827 636 15 60633 18393 49.28999 403 16 71305 19353 22.15693 325 17 47198 24636 45.79643 404 18 59738 24565 39.35184 414 19 65608 22900 34.30679 415 20 37712 21531 32.41143 396 21 40641 20043 17.43559 332 22 219531 21898 13.36167 354 23 95802 33140 25.43162 538 24 50677 24719 63.23184 451 25 80277 23207 22.8596 403 26 109592 33344 32.91664 568 27 48812 24004 24.35672 399 28 41882 21174 20.77981 304 29 69101 22059 32.07768 382 30 191972 28056 15.42725 379 31 62126 23648 14.48991 366 32 29541 25152 55.38404 493 33 101082 17738…
city pop avginc pctstu rent 1 77759 19568 23.17031 342 2 141865 31885 20.98403 496 3 42099 21202 24.383 351 4 46209 29044 39.32784 588 5 110330 56307 16.5005 925 6 132605 35103 11.45658 630 7 83312 29407 29.77842 521 8 87758 26826 24.35903 422 9 130474 25811 14.57149 568 10 84770 21077 30.70308 383 11 124773 23453 27.23346 444 12 45734 14286 40.2239 347 13 63502 22967 33.18006 422 14 73233 22346 20.32827 636 15 60633 18393 49.28999 403 16 71305 19353 22.15693 325 17 47198 24636 45.79643 404 18 59738 24565 39.35184 414 19 65608 22900 34.30679 415 20 37712 21531 32.41143 396 21 40641 20043 17.43559 332 22 219531 21898 13.36167 354 23 95802 33140 25.43162 538 24 50677 24719 63.23184 451 25 80277 23207 22.8596 403 26 109592 33344 32.91664 568 27 48812 24004 24.35672 399 28 41882 21174 20.77981 304 29 69101 22059 32.07768 382 30 191972 28056 15.42725 379 31 62126 23648 14.48991 366 32 29541 25152 55.38404 493 33 101082 17738…