A proposed new method for thedetermination of sulfate in anindustrial waste effluent is comparedwith an existing method, giving thefollowing results below. Is there asignificant difference between theprecisions of the two methods? Showyour solution.No. ofdegrees offreedomNo. ofMethodMeans (mg/dm?)replicatesExisting72873.38New7271.501 Add file

For Existing : Mean , x1¯ = 72 Standard deviation , s1 = 3.38 For New : Mean , x2¯ = 72 Standard…

Answered: A proposed new method for the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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8. For the following multiple regression which was conducted to attempt to predict the price of yachts based on the independent variables shown, Regression Statistics Multiple R R Square 0.890579188 0.793131289 Adjusted R Square 0.7379663 Standard Error 30.28395534 Observations ANOVA df SS MS F Regression Residual ? 52743.23074 15 ? 917.1179509 Total 19 66500 Coefficients Standard Error t Stat P-value Intercept Age 73.33291 62.25276 1.17799 0.25715 -0.13882 0.05353 -2.59326 0.02037 Length Nav Eqp Flying Bridge 3.73984 0.95568 3.91328 0.00138 0.37644 0.16876 2.23061 0.04140 17.70752 15.57847 1.13667 0.27351 (a). Write down the fitted multiple regression equation (b). Use the p-value approach to test the significance of the individual regression coefficients at the 5% level of significance (c). Find the percentage variation in the price of yachts that is explained by the regression model (d). How many yachts were considered in this study?
Please no written by hand solution Based on the below data what will be the value of SST? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 8 ANOVA df SS MS F Regression 1 20 20 20 Residual 6 11 1 Total 7 Coefficients Standard Error t Stat P-value Intercept -1 31.274666 3.984284 0.007248 Advertising (thousands of $) 37 6.19330674 1.610802 0.158349
Edllon. J2 THiles per gallon when it is QUESTION 7 Find the P-value for the indicated hypothesis test. In a sample of 88 children selected randomly from one town, it is found that 8 of them suffer from asthma. Find the P-value for a test of the claim that the proportion of all children in the town who suffer from asthma is equal to 119%. 0.2843 -0.2843 0.2157 O 0.5686 QUESTION 8 for the indicated hypothesis test. fathers take no responsibility for
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7:07 PM Tue Oct 3 MY NOTES ASK YOUR TEACHER Consultant A Consultant B n₁=16 x₁ = 6.81 $₁ = 0.64 You may need to use the appropriate technology to answer this question. Periodically, customers of a financial services company are asked to evaluate the company's financial consultants and services. Higher ratings on the client satisfaction survey indicate better service, with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use a = 0.05 and test to see whether the consultant with more experience has the higher population mean service rating. О H : H1 - H2 + 0 H₂: H₁ - H₂ = 0 OHO: H₁ H₂ ≤0 H₂H₁ H₂ = 0 o Hot - thg 30 H₂H₁ H₂ ≤0 (a) State the null and alternative hypotheses. o Hot H250 Ha: H1 - H2>.0 0 Ho H1 - 2 = 0 Hỏi thì tha n₂=10 x₂ = 6.28 $₂ = 0.75 ... PRACTICE ANOTHER webassign.net (b) Compute the value of the test statistic.…
You may need to use the appropriate technology to answer this question. Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer termina Analysis of Variance SOURCE Regression Error Total Predictor Constant X DF Adj SS 1 1575.76 8 349.14 9 1924.90 Regression Equation Y = 6.1092 +0.8951 X O Ho: B₁ * 0 H₂: B₁ = 0 Coef SE Coef 0.9361 0.1490 (a) Write the estimated regression equation. ý =| 6.1092+ 0.8951r O Ho: B₁ 20 H₂: B₁ <0 |0 Ho: Boo Hà Bo=0 |0 Ho: Bo=0 = 0 Ha: Bo #0 6.1092 0.8951 Ho: B₁ = 0 H₂: B₁ * 0 (b) Use a t test to determine whether monthly maintenance expense (dollars per month) is related to usage (hours per week) at the 0.05 level of significance. State the null and alternative hypotheses. Adj MS 1575.76 43.64 Find the value of the test statistic. (Round your answer to two decimal places.) 36.11 X
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Data for 34 results are given below: Source SS Regression Residual Total 2,306,075.92 1,217,176.18 3,823,252.10 ABC df 1 32 33 MS 2,306,075.92 47,411.76 Based on the results what do you conclude and why using a = .05? F
A student wants to determine if there is a difference in the pricing between two stores for health and beauty supplies. She recorded prices from both stores for each of 10 different products. Assuming that the conditions for conducting the test are satisfied, determine if there is a price difference between the two stores. Use the α = 0.1 level of significance. Complete parts (a) through (d) below. A B C D E F G H I J 5.95 7.41 3.76 1.74 1.78 2.88 4.72 3.13 2.98 3.75 Store 1 Store 5.97 7.95 3.94 1.78 1.92 2.49 4.71 3.74 2.95 3.69 2 (a) What type of test should be used? Choose the correct answer below. A. A hypothesis test regarding the difference of two means using a matched-pairs design. B. A hypothesis test regarding two population standard deviations. OC. A hypothesis test regarding the difference between two population proportions from independent samples. OD. A hypothesis test regarding the difference of two means using Welch's approximate t. (b) Determine the null and alternative…
Which of the following is TRUE about W? ANOVA Regression W Total df SS 1 8 9 2335 MS 140.1 F p-value 0.0186 The smaller the value of SS for W, the smaller the coefficient of determination. It is calculated based on the distance between the observed data point and the predicted value.

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