3!Required informationPart 1 of 2An experiment was performed to determine whether the annealing temperature of ductile iron affects its tensilestrength. Five specimens were annealed at each of four temperatures. The tensile strength (in ksi) was measured foreach. The results are presented in the following table.Temperature (°C)Strengthoints75016.7217.8816.6315.6814.8980013.0117.0415.1017.2817.5385016.6617.3814.4918.2115.58eBook90016.9314.4916.1515.53 13.25HintAskReferencesConstruct an ANOVA table. (Enter your Sum of Squares, Mean Sum of Squares, and F calculations rounded to three decimal places.)SourceTemperatureDFSSMSPF(Click to select)ErrorTotal

The F-statistic is 0.634, and the corresponding p-value is 0.604. This p-value is quite high, which…

Answered: 3 ! Required information Part 1 of 2 An…

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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O Assighmant Score! < Question 12 of 16 Of the many species of oak trees in the United States, 28 grow on the Atlantic Coast and 11 grow in California. The back-to-back stemplot displays data on the average volume of acorns (in cubic centimeters) for these 39 oak species. Atlantie Const 998643 0 | Callifornia Which of the following are correct comparisons of the 4. 88864211111 1 50 2 6640 3 06 06 distributions of acorn volumes for the Atlantic Coast and California? 8 4 1 5 86 I. Both distributions have similar variability. II. Both distributions have similar medians. 59 1 8 1 9 10 11 III. Both distributions have possible outliers. O I and III only Key: 26 = An oak species whose acorn volume is 2.6 cm. O II and III only 15 16 17 O II only O I only O III only 1 From the Electronic Encyclopedia of Statistics Examples and Exercises (EESEE) story "Acorn Size and Oak Tree Range."
Q3) An experiment was carried out to investigate variation of solubility of chemical X in water. The quantities in kg that dissolved in 1 liter at various temperatures are show in the table (1). Table (1) Temperature C Mass of X 2.1 2.6 2.9 3.3 15 20 25 30 35 4 50 5.1 70 7 Use the proper methods to answer the following questions: a) Draw a scatter diagram to show the data. b) Estimate the temperature based on the mass of X. c) What quantity might be expected to dissolve at 42 C? Find the quantity that your cquation indicates would dissolve at 10 C and comment on your answer.
Determine the kurtosis if the data given is a sample. Use 4 decimal places
The table below shows the 1 results from the specific gravity (S.G.) test performed in a soil laboratory including twenty samples of sand. Determine the Coefficient of Quartile Variation. * Specific Gravity 2.30-2.39 Number of Samples 1 2.40-2.49 2 2.50-2.59 3 2.60-2.69 2.70-2.79 7 2.80-2.89
One hundred people were surveyed, and one question pertained to their educational background. The results of this question and their genders are given in the following table. College degree (D) No college degree (D') Total 0.333 0.996 0.184 0.668 Female (F) Male (F') Total 50 50 100 33 35 68 17 15 32 Calculate the test statistic for a Chi-Square test of dependence.
b) Civil engineers have developed a 3D model to predict the response of jointed concrete pavements to temperature variations. To check this model, they measured the change in traverse strain on six different occasions and compared this to the modelled values. The table below was obtained. Date Jul 25 Aug 4 Aug 16 - p-value, -58 69 35 Sep 3 -32 Oct 26 -40 Nov 3 -83 - conclusion, Percent Use the Summary output below to answer the following question Summary Output 4.4 (iii) Test whether the differences between the measurements are normally distributed. State your: - hypothesis, Ho Data are normally distributed HA Data are not normally distributed : - the test statistic, 99 - Decision (Reject, Retain), 95 90 80 70 60 50 40 30 20 Change in Strain Note for conclusion: -(if you think there is significant evidence data is normally distributed, enter 1) -(if you think there is significant evidence data is not normally distributed, enter O), Summary Output 4.4: 10 Field Measurement 5 1 -40…
Chlorophylls a and b are plant pigments that absorb sunlight and transfer the energy into photosynthesis of carbohydrates from CO2 and H2O, releasing O2 in the process. Chlorophylls were extracted from chopped up grass and measured by spectrophotometry. The table shows results for chlorophyll a for four separate analysis of five blades of grass. Chlorophyll a (g/L) Blade 1 Blade 2 Blade 3 Blade 4 Blade 5 1.09 1.26 1.1 1.23 0.85 0.86 0.96 1.21 1.3 0.65 0.93 0.8 1.27 0.97 0.86 0.99 0.73 1.12 0.97 1.03 Four replicate measurements for each blade of grass tell us the precision of the analytical procedure (sanalysis). Differences between mean values for each of the five blades of grass are a measure of variation due to sampling (ssampling). Using Excel and it’s ANOVA function, find the standard deviations attributable to sampling and to analysis, as well as the overall standard deviation arising from both sources.
ROBLEM 2 (15)ints total). A medical manufacturer is evaluating a new epoxy hardener to replace the current ardener used in its production processes. The new hardener is manufactured by a slightly different process, so it needs be tested and compared to the current one. If no statistical difference in the means between the two processes is stablished, the new hardener will be accepted for production use. The first test being run in the study is a measurement of equilibrium moisture content. For each type of hardener, 40 different samples were measured for noisture content (in weight %) and were both determined to be approximately normally distributed. a) State a suitable null and alternative hypothesis for this situation. b) Compute the test statistic for your null hypothesis. by coating the surface of da c) Compute (or place a bound) on the p-value for your test outcome. d) Based on the p-value, what conclusion do you draw regarding the null hypothesis? Is there sufficient evidence…
What type of model is presented below – Model 3. What impact do d_y and d_rs have on the dependent variable d_m_p? Model 3: OLS, using observations 1980:2-1999:3 (T = 78) Dependent variable: d_m_p Coefficient Std. Error t-ratio p-value const 0.0113971 0.00130078 8.7617 <0.0001 *** d_y −0.0106911 0.100221 −0.1067 0.9153 d_rs 0.00151462 0.00110613 1.3693 0.1751 d_rl 0.000127744 0.00141954 0.0900 0.9285 d_p −0.354204 0.093535 −3.7869 0.0003 *** Mean dependent var 0.007578 S.D. dependent var 0.004753 Sum squared resid 0.001399 S.E. of regression 0.004378 R-squared 0.195607 Adjusted R-squared 0.151531 F(4, 73) 4.437922 P-value(F) 0.002885 Log-likelihood 315.5363 Akaike criterion −621.0725 Schwarz criterion −609.2890 Hannan-Quinn −616.3554 rho 0.485424 Durbin-Watson 1.001216
A certain polymer is used for evacuation systems for aircraft. It is important that the polymer be resistant to the aging process. Twenty specimens of the polymer were used in an experiment. Ten were assigned randomly to be exposed to the accelerated batch aging process that involved exposure to high temperatures for 10 days. Measurements of tensile strength of the specimens were made and the following data were recorded on tensile strength in psi. No aging: 227, 222, 218, 217, 225, 218, 216, 229, 228, 221 Aging: 219, 214, 215, 211, 209, 218, 203, 204, 201, 205 Calculate the sample standard deviation strength of Aging group and no aging group
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the o health and physical activity of an individual. Suppose that a random sample of 46 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that o = 7.80 ml/kg for the distribution of blood plasma. %3D (a) Find a 99% confidence interval for the population mean blood plasma volumne in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit upper limit margin of error (b) What conditions are necessary for your calculations? (Select all that apply.) the distribution of volumes is normal the distribution of volumes is uniform o is unknown n is large o is known (c) Interpret your results in the context of this problem. O The probability that this interval contains the true average…
Maximum photosynthetic rates were measured in leaves from diploid (2N) and tetraploid (4N) tall fescue grass. Test the null hypothesis of no difference in the photosynthetic rates for diploids and tetraploids at the 5% level of significance. Photosynthetic Rate (μmol/m²/s) Tetraploids 24 21 25 26 23 Diploids 23 18 17 16 22 23 3) Which of the following pairs of values are the calculated vs critical values for this problem? a. calculated = -3.865; critical = 2.447 b. calculated = 3.865; critical = 2.571

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