You wish to test the following claim (Ha) at a significance level of a = 0.10.H₂:μ₁ = μ₂H₁: M₁ M₂You obtain the following two samples of data.Sample #197.595.3 84.6 95.979.9 90.3 85.9 81.688.4 92.1 82.194.369.3 94.8 74.583.482.1 81.8 92.884.192.1 98.793.9 92.878.5 69.388 8285.2 76.3 92.885.1 92.4 93.1 90.3100.585.2 87.3What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic =What is the p-value for this sample? For this calculation, use the degrees of freedom reported from thetechnology you are using. (Report answer accurate to four decimal places.)p-value =The p-value is...Sample #2100.892.8 56.6 107.139.363.8 53.37293.487.2 95.497.576.19172 84.657.5 58.4 102.6100.855.6 59.3 95.458.481.699.9 75.1 76.686.6 49.172.6 67.654.5 107.163.1102.66782.6 76.6O less than (or equal to) aO greater than aThis test statistic leads to a decision to...O reject the nullO accept the nullO fail to reject the null

Given: n1 = 38 n2 = 39 α = 0.10 Formula Used: Test-statistic t = X1 - X2sp1n1+1n2 sp =…

Answered: You wish to test the following claim…

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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Q1 An engineering student wants to study the impact of temperature and humidity on yield. The following data was recorded by the student. S.N Temperature Humidity Yield 1 40 57 112 2 45 54 118 3 50 54 128 4 55 60 121 60 66 126 65 59 136 7 70 61 144 8 75 58 142 80 59 149 10 85 56 165
T-TEST FOR INDEPENDENT MEANS 1. Two types of instruments for measuring the amount of sulfur monoxide in the atmosphere are being compared in an air pollution experiment. It is desired to determine whether the types of instruments yield measurement having the same variability. The following readings were recorded for the instrument. Sulfur Monoxide Instrument A Instrument B 0.86 0.87 0.82 0.74 0.75 0.63 0.61 0.55 0.89 0.76 0.64 0.70 0.81 0.69 0.68 0.57 0.65 0.53 Assuming the population of measurements to be approximately normally distributed, test the null hypothesis using two tailed test at 0.05 level of significance.
A score S is used to predict whether a disease is present. If the score is greater than a threshold value, the corresponding person is classified as ill, otherwise as healthy. Here, the scores S; for 9 persons are given. Furthermore, it is known whether the persons are actually ill (Y, = 1) or not (Yi = 0). The data look as follows: S; | Y; 0.3 0 1.2 1 0.7 0.8 1 0.1 0.4 1 1.1 0 0.2 0 1.4 1 (a) Draw by hand the ROC curve for the given data. Explain your procedure and the calcu- lation methods. (b) Calculate the area under the curve (AUC) by hand. Does this value indicate a good or bad classification? (c) Calculate the partial area under the curve (PAUC) if the specificity is to be at least 0.65. How do you judge this value?
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What are the hypotheses for this test? O A. Ho: At least one of the means is different from the others. H₁ H₁ H₂ H3 OB. Ho: H₁ H₁: H1 H₂ =H3 H₂ H3 OC. Ho: H₁ H₂ H3 H₁: At least one of the means is different from the others. O D. Ho: H₁ H₂ H3 H₁: H₁ H₂ =H3 Data Table Type A 6.2 6.2 6.5 7.4 7.1 6.1 6.9 7.3 6.9 6.7 Print C Type B 7.7 7.5 8.7 8.1 8.6 8.8 8.4 8.5 Type C 8.5 9.3 9.6 9.1 9.1 9.1 9.8 9.5 9.9 Done O X
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.05 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What are the hypotheses for this test? OA. Ho: H₁ H₂ H3 H₁: H₁ H₂ H3 OB. Ho: H₁ H₂ =H3 H₁: At least one of the means is different from the others. O C. Ho: At least one of the means is different from the others. H₁: H₁=H₂ =H3 OD. Ho: H₁ H₂ H3 H₁: H1₁ H₂ H3 Determine the test statistic. F = (Round to two decimal places as needed.) Identify the P-value. P-value= (Round to two decimal places as needed.) What is the conclusion of the test? the null hypothesis. Conclude that the type of vehicle Data Table C Type A 6.5 6.2 6.5 6.5 5.8 7.5 6.4 6.4 6.2 6.9…
Data Table Type A 7.3 7.6 7.1 7.1 7.1 7.9 6.4. 6.9 7.5 7.2 Type B 8.7 8.2 8.3 7.7 8.8 8.2 8.7 7.1 Type С 8.5 8.3 9.3 9.2 9.3 9.5 8.8 8.7 8.5 - X
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment I II 10 7 N = 16 8 4 G = 120 7 9 ∑X² = 1036 9 3 13 7 7 6 6 10 12 2 M = 9.000 M = 6.000 T = 72 T = 48 SS = 44 SS = 56 Use an independent-measures t test with α = .05 to determine whether there is a significant mean difference between the two treatments. (Use three decimal places; subtract MIIII from MII.) t-critical = ± t = t Distribution Degrees of Freedom = 21 -3.0-2.0-1.00.01.02.03.0t Conclusion: Fail to reject the null hypothesis; there are significant differences between the two treatments. Reject the null hypothesis; there are significant differences between the two treatments. Fail to reject the null hypothesis; there are no significant differences between the two treatments. Reject the null hypothesis; there are…
If you chose the α level of .01, then which of the following p value will allow you to conclude that your result is statistically significant? a. 0.005 b. 0.05 c. 0.10 d. 0.03
4. From a data ,the following measures are obtained = 363 and SSyy = 643. SSyy = 345, SSx The coefficient of determination is....
Let X be a quantitative variable whose values are form a population under study and X⎯⎯⎯⎯ be the corresponding sample mean RV. If population and sample sizes are 3601 and 196, respectively, and σX=149, then SD(X⎯⎯⎯⎯) is Select one: ≈10.64 None ≈10.35 ≈10.94 ≈0.76
4.Calculation (1020'=20') Study the relationship between monthly household consumption expenditure y and monthly household disposable X in the community. Set the measurement model as: Y=B1+B₂X+μ Sample data Xi, Yi, Xiyi Xiyi, xi², and sample mean value are shown in the following table. 2 Xi Yi Xi Yi Xiyi Xi 1 800 638 -1350 -945 1275750 1822500 2 1100 935 -1050 -648 680400 1102500 3 1400 1155 -750 -428 321000 562500 4 1700 1254 -450 -329 148050 202500 5 2000 1408 -150 -175 26250 22500 6 2300 1650 150 67 10050 22500 7 2600 1925 450 342 153900 202500 8 2900 2068 750 485 363750 562500 9 3200 2267 1050 684 718200 1102500 10 3500 2530 1350 947 1278450 1822500 Sum 21500 15830 1 49758000 74250000 Mean 2150 1583 1 1 1 1
The following data gives the means of two samples taken from a population. Test whether there is any significant difference between the two samples at 95% level. * = 60, y = 59, n₁ = 100, n₂ = 200 and a = 50. a. 1.46 b. 1.45 c. 1.604 d. 1.640 e. NONE OF THE ABOVE A OB O OE

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