Referring to Table 2, the mean square for the factor filling time is____1). 0.90302). 0.42343). 0.45154). 0.2117 Filling Time 60 Degrees10.243810.261310.498520.248620.31100.52050.55231.03951.380122323372.5 Degrees 85 Degrees0.25280.25120.25280.25120.25290.25100.24490.25440.26810.25420.49030.29020.29990.24680.88820.24971.22000.2995 TABLE 2A plastic injection molding process is often used in manufacturing because of its ability to mold complicatedshapes. An experiment was conducted on the manufacture of a television remote part, and the warpage (mm) of thepart was measured and stored in TVRemote. (Data extracted from M. A. Barghash and F. A. Alkaabneh, "Shrinkageand Warpage Detailed Analysis and Optimization for the Injection Molding Process Using Multistage ExperimentalDesign," Quality Engineering, 26, 2014, pp. 319-334.) Two factors were to be considered, the filling time (1, 2, or 3sec) and the mold temperature (60, 72.5, or 85° C).■ You need to download file "TVRemote".TARIE 2

Answered: Image /qna-images/answer/f0cda27a-fe71-4086-9897-5aac6da6a067.jpg

Answered: Filling Time 60 Degrees 1 0.2438 1…

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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Researchers examined the mechanical properties of webs spun by the orb spider. A table in their published report gives summary statistics for a number of variables in the form of the mean plus or minus the standard error of the mean. This form is very common in scientific publications. For 17 adult female spiders, web areas (in square centimeters, cm2) are 640±37. What are ? and s for these spider webs? (Enter your answer as a whole number for ? and rounded to one decimal place for s ) I know x bar is 640, but what is "s"? Is it the SEM of standard deviation? how to I calculate it?
d. There is a 30% chance that X is above what value? X= (Type an integer or decimal rounded to two decimal places as needed.)
3014 4. Find: a. Mean b. Median c. Mode Years of Experience 1-4 5-8 9-12 13-16 17-20 21-24 25-28 Number of Employees 16 20 28 24 16 11 5
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). 2 33 31 36 32 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment × Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). The p-value is less than 0.01 What is your conclusion? Manufacturer 1 17 23 21 19 M N N N N What conclusion can you draw after carrying out this test? Cannot conclude there is a difference in the mean time for these manufacturers 3 22 21 25 24 Conclude the mean time needed to mix a batch of material is not the same for all manufacturers b. At the a = 0.05 level of significance, use Fisher's LSD…
The discrepancy between the sample mean and population mean can be remedied by: None of these No change to sample size Decreasing sample size Increasing sample size
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. ITI Manufacture 2 3 18 30 24 27 24 21 24 30 24 21 24 18 a. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Error 105.75 Mean Squares, Error 11.7 Fisher's LSD Value b. Use Fisher's LSD procedure to develop a 95% confidence interval estimate of the difference between the means for manufacturer 1 and manufacturer 2. Round to two decimal places. Enter negative values as negative numbers. to Hide Feedback Partially Correct
Q.9. Calculate missing frequencies from the following when mean is 13-75. No. of students : 4 8 10 12 18 24 22 frequency : 13 11 9 8 10
2.5
A runner states that his average time for running a mile is 6.5 minutes. Given the following times from 8 recent mile runs, test the claim that his actual average is not what he states it to be at the a = 0.05 level of significance. 6.25 6.6 6.8 7.2 6.3 7.0 6.5 6.75
In the population you are studying (people who live alone), there are 40% of men and 60% of women. If you know that the mean number of take-out dinners in a month for men is 15.1, and that the overall mean number of take-out dinners per month (for the population) is 13.4, then what is the mean number of take-out dinners in a month for women? Enter your answer rounded to one decimal place.
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). 1 19 25 23 21 Manufacturer a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. What conclusion can you draw after carrying out this test? - Select your answer - 2 30 28 33 29 3 21 20 24 23 The p-value is - Select your answer - V What is your conclusion? - Select your answer - b. At the a= 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals).
e) The car dealer also believes that the age of the car is another factor affecting the price of the car. The following output displays the relationship between the price, mileage travelled and age of the car. Model Summary (Price of the car) RR Square Adjusted R Square Std. Error of the Estimate 96 .93 -91 4.33 ANOVA (Price of the car) Sum of Squares 1734-56 df Mean F Sig. Square 867.28 46.33 18.72 Regression 2 .000 Residual Total 131.04 7 1865.60 Coefficients (Price of the car) Unstandardized Coefficients B Standardized Coefficients Beta Std. Sig. Error (Constant) Mileage Age 64.04 -58 12.46 -2.17 5-14 .00 .000 27 -.80 .066 -45 96 -.17 -47 651 Determine the multiple regression equation from the above output and use it to estimate the price of a 5.5 years old car with 50000 km travelled mileage.

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Filling Time 60 Degrees 1 0.2438 1 0.2613 1 0.4985 2 0.2486 2 0.3110 0.5205 0.5523 1.0395 1.3801 223 2 3 3 72.5 Degrees 85 Degrees 0.2528 0.2512 0.2528 0.2512 0.2529 0.2510 0.2449 0.2544 0.2681 0.2542 0.4903 0.2902 0.2999 0.2468 0.8882 0.2497 1.2200 0.2995