Yoko is studying the growth of a particular type of plant. She is testing the effects of four growth factors: lighting, age, temperature, and humidity. Here are thelevels she's testing for each.Growth factorLevelsLightingNone, Low, Medium, High, Very highAge1 month, 2 months, 3 months, 4 months, 5 months, 6 monthsTemperature 20 °C, 22 °CHumidityLow, Medium, HighShe wants to find the number of ways of combining one level from each of the growth factors. How many ways are there?

There are 5 options for lighting and 6 options for age and 2 options for temperatures and 3 options…

Answered: Yoko is studying the growth of a…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A B ASSIGNMENT (15%) commodity. aree commodities AB and C were considered the index number some fixed weight were assigned to varieties in each of the commodities. The table below provides the information regarding the consumption of three commodities according to three varieties and also the total weight received by the Commodity 1 2 3 I 2 4 X+Y+2=7 X+ 2Y 32-16 X +3Y+42-22 S Variety 11 5 6 b. Find the weights assigned to the three varieties by using matrix inverse corresponding consumption method, given that the weights assigned to a commodity are equal to the sum of weights of the various varieties multiplied by the 11 method 2. Solve the following systems of equation using Gauss Jordam a. 21 27 2X-5Y+72-6 X-3Y+42-3 3X-8Y+112-11 3. For a watch maker the cost of labor and materials per watch is S 15 and the fixed costs are $ 2000 per day. If each watch sells for $ 20 how many watches should be produced and sold each day to guarantee that the business break even? Show graphically the…
The graph below shows the weighting of assignments of Alice's History Course Assignment Weight Class Participation 10% Midterm 20% 20% Final Paper Final Exam 096 Question 4 Her final grade will be out of 100. She made a 100 for class participation, an 80 on the midterm, a 90 on the final paper, and a 96 on the final exam, What is her final grade in the class? 092 0 95 85 50%
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Emily is trying to check if the nutritional content of different formulas have different effects on mice. She uses five mice to test each type of formulas (A, B, and C) and Formula A is simply a placebo. Each mouse's weight is recorded in grams. At the end of a specified time period, each mouse is weighed again and the net gain in grams is recorded as shown in Table 1 below. Formula Formula Formula A В 40 47 51 32 38 41 42 49 38 36 46 46 39 44 49 Using an F-test, determine whether or not the variance in weight gain is statistically the same among the mice that were using Formula B and Formula C. Test at a confidence level of 90%. (HINT: Remember that the bigger standard deviation goes in the numerator when calculating the test statistic) a. Should we run the test on all three columns or only on two columns? (Write "2" or "3" in the blank): b. The F-test statistic calculated for this problem is (Round to three decimal places). c. The critical-F value for this problem is (Round to three…
70°F Rain coming The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Though the two stores have been comparable in the past, the owner has made several improvements to Store 2 and wishes to see if the improvements have made Store 2 more popular than Store 1. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day Store 1 Store 2 144Hz 1 Explanation 565 Difference (Store 1 - Store 2) Send data to calculator V 698 Check 2 3 409 554 362 604 4 540 698 5 321 6 685 450 801 (a) State the null hypothesis Ho and the alternative hypothesis H₁. H:0 Ho 7 O Search 804 840 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of…
Let a1, a2, ... , an and A be real numbers such that 2 η A+Σ» (Σ) A+Σαβ ak 1 k=1 Prove that A < 2a₁am for every pair {aɩ, am}, l ‡ m. η 1 .
What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…
In 1991 for working class people wheat was selling at an average price of $100 per 10 per metre, house rent at $ 500 per house and miscellaneous items at $ 20 per unit. By 2001 cost of wheat rose by $ 50 per cloth at $ 40 house rent by $ 300 per house and miscellaneous items doubled the price. The weights of the groups in order were in the ratio 1:2:4:1. The working class cost of living index number for the year 2001 with 1991 as base was 175%. By how much cloth price rose during the period 1991-2001?
How do I graph this?
Small Sample Size The dataset imagpop contains information about 10000 people from an imaginary population. One of the variables is math, which indicates whether the individual was a mathematics major. You can see the distribution of math majors in the population in the row percents shown below: rowPerc(xtabs(~math,data=imagpop)) ## no yes Total## 95.37 4.63 100.00 Suppose you were interested in the following Research Question: Are quantitative skills an important part of your job? You decide to quickly take a simple random sample of size 10 from this population. You can see the distribution of math majors in the sample below: set.seed(2014)smallsamp<-popsamp(n=10,pop=imagpop)rowPerc(xtabs(~math,data=smallsamp)) ## no yes Total## 100 0 100 Which of the following statements best describes a problem that may arise in this scenario? Group of answer choices ( ) The sampled individuals that were selected might all have jobs that require quantitative skills. This…
R3.42. Internet speed Carsten, Matt, and Rainer designed an experiment to see how different environments affect the Internet speed around campus. They used their own Mac computer and a PC belonging to the school and tested each in two different libraries, the main and the science library. Other factors included Time of Week (weekday or week- end), Time of Day (before or after 5 PM), and how busy the computer was (running other jobs or not). The measured the time it took to download a 50 Mb file from the school course management system. a) Name the factors and levels. b) How many runs will they need to run all treatment levels? c) In what order should they perform all the runs?
Life-saving drug: Penicillin is produced by the Penicillin fungus, which is grown in a broth whose sugar content must be carefully controlled. Several samples of broth were taken on three successive days, and the amount of dissolved sugars, in milligrams per milliliter, was measured on each sample. The results were as follows. Day 1: 4.8 5.2 5.3 5.0 5.0 4.8 4.7 4.9 5.0 4.6 4.7 5.1 4.8 Day 2: 5.1 4.7 4.7 5.0 5.2 5.0 5.5 5.0 4.9 5.1 5.3 5.0 5.6 Day 3: 5.6 5.0 5.0 5.7 5.3 5.2 5.0 5.4 5.2 5.1 5.3 5.1 5.1 Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct an ANOVA table. Round your answers to four decimal places as needed. One-way ANOVA: Sugar Concentration Source DF MS F P Days Error Total

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