Two machines are used to fill plastic bottles with dishwashing detergent. The standarddeviations of fill volume are known to be o, = 0.10 fluid ounces and o, = 0.15 fluid ouncesfor the two machines, respectively. Two random samples of n1 =12 bottles from machine1 and n2 = 10 bottles from machine 2 are selected, and the sample mean fill volumes areI, = 30.87 fluid ounces and = 30.68 fluid ounces. Assume normality and use a = 0.05. Findthe value of (a) zo and (b) P-value.а.noneO b. zo = 3.24, P-value = 0.0036z0 = 2.34, p-value = 0.0006Oc.O d. zo = 3.42, p-value = 0.0003%3D

Answered: Image /qna-images/answer/db9335ce-4aba-4d40-bcff-4ea26b333abe.jpg

Answered: deviations of fill volume are known to…

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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3C 3D 3E
A multivitamin sample was assayed for its Fe content in The analysis produced an average assay of 19.8 The actual Fe content of the sample was known to be exactly 20 ppm Fe. Find the absolute and relative 1. ppm. ppm. errors. 2. The 2 data sets are replicates of pH values of an alkaline solution (set A) and acidic solution (set B). (1) which is more precise? (2) which is more accurate? A) 11.2, 10.7, 10.9, 11.3, 11.5, 10.5, 10.8, 11.1, 11.2, 11.0 (x = 10.7) 5.2, 6.0, 5.2, 5.9, 6.1, 5.5, 5.8, 5.7, 5-7, 6.0 (x = 5.8) B)
I. Solve for Z and find its area 1. Mean = 81, score: x = 71.5, standard deviation: o = 9. 2. Mean = 47, score: x = 55.6, standard deviation: o = 4. 3. Mean = 68, score: x = 78.8, standard deviation: o = 6. 4. Mean = 51, score: x = 69, standard deviation: o =7. 5. Mean = 85, score: x = 93, standard deviation: o =5. 6. The mean expenses of Dela Cruz Family is PhP12,600 every 15 days and the standard deviation is PhP 1, 570., If the expenses are normally distributed, what is the probability of consuming less than PhP 11,000 in 15 days? 7. The mean production of factory workers is 10 finished products per hour, with a standard deviation of 1.5 products/hour. What is the probability of finishing: a. less than 12.8 products/hour? b. more than 12 products/hour? 8. The mean weight of insects for laboratory experiments is 13.2 g, with the standard deviation of 0.8 g. What is the probability of randomly selecting insects with weight of: a. 14 g? b. 13.1 to 13.6 g? 9. The lifetime of CP…
What does this formula compute? E (Y-Y')² N Oest Select one: O a. Variance of Y b. Variance of the slope c. Standard deviation of Y O d. Standard error of the slope
The table of means for the data is as follows: 30% 50% Marginal Mean Hybrid Non-Hybrid Marginal Mean A 2.93 L 1.43 В M K Find A and B.
Newly purchased tires of a particular type are supposed to be filled to apressure of 30 psi. Let u denote the true average pressure. A test is to becarried out to decide whether u differs from the target value. Determinethe P-value for each of the following z test statistic values. a. 2.10b. -1.75c. -.55d. 1.41e. -5.3
Hypertension is a long-term medical condition in which the blood pressure in the arteries is persistently elevated. In elderly patients with hypertension, a high systolic pressure can cause a fainting episode, so X transporting them to an emergency clinic is imperative. Let be the systolic blood pressure of elderly patients with hypertension on arrival at the emergency clinic after a fainting episode. A random sample of such patients was considered. The measurements of each patient, in mm Hg, are given below. At the 5% level of significance, can we conclude from the data in this sample that the mean systolic blood pressure of all elderly hypertensive patients transported to an emergency clinic after a fainting episode is smaller than 175 mm Hg? patient 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 X 166 178 153 157 178 158 153 169 182 155 151 195 202 169 157 patient 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 X 173 161 155 154 178 200 168 196 180 191 167 170 161 191 166 patient 31 32 33 34 35…
Provide what is required for the following: (Show your solution) 1. The data below are the shoot lengths (cm.) of Robusta coffee seedlings as affected by different periods of storage. Find out if there are significant differences in the effects of different periods of storage on the shoot lengths. (Note: CRD experiment) Solve for the; a. F computed b. Coefficient of Variation (CV), c. Standard error of the treatment means (S,), d. standard error of difference between treatments (Sd) e. Make a Decision Treatments Replications II II P1 10.1 9.2 9.5 P2 9.5 9.3 8.5 P3 8.7 9.2 7.5 P4 6.7 6.2 5.0
la). The null hypothesis is that the difference in the grams of sugar between ultra-processed and processed food μ = 0 (Ho: μ = 0). Write an example alternative hypothesis for the mean (µ) difference between ultra-processed foods (up) and processed foods (μ). 1b). Next, generate 1,000 samples. Let's say that you asked students in our class to calculate the difference in the amount of sugar between their ultra-processed food and processed food at home, which had a mean (u) sugar difference of 14.75 grams of sugar. Do you have evidence to reject the null hypothesis? 1c). Let's say that your sample difference in the amount of sugar between ultra-processed food and processed food at home was 4.75 grams of sugar. Do you have evidence to reject the null hypothesis? 1d). What is a 92% confidence interval for the data? Please write it using the full confidence interval interpretation language (e.g., I am 92% confident that...). le). What percent of the data lie to the left of -14.25 grams of…
No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 433 370 23518 78713 4 1833 3630 1 131 83 15724 42774 4 1056 3157 1 204 169 24506 27222 4 1405 8732 1 100 70 21667 37040 4 1912 3407 1 220 137 20712 12030 4 1006 1155 1 89 69 12640 13674 3 873 3613 1 26 18 4258 19130 3 487 1946 1 143 72 35210 33521 4 2011 7199 1 171 126 20548 19612 4 1135 3135 1 21 15 23442 5557 3 605 5506 2 3 2 287 163 1 2 42 2 2 2 1508 314 1 15 155 2 6 4 624 2622 1 27 554 2 52 47 2471 4219 2 292 929 3 74 63 4307 5357 2 454 1427 3 13 12 673 1061 1 20 325 3 17 13 817 707 1 84 267 3 169 147 8986 10421 3 534 2083 3 51 41 3145 4140 2 220 697 3 55 44 4076 7125 2 176 1446 3 84 76 3806 8994 2 423 1014 3 61 47 4276 5504 2 464 1291 3 27 22 1239 716 1 22 356 4 200 178 9423 8926 3 200 2314 4 294 250 11045 11121 3 189 2727 4 38 32 1916 2283 1 29 682 4 17 14 599 364 1 21 197 4 34 28 2063 1813 1 20…
b) Given P = W²H.If errors up to 2% and 1% are possible in the measured value of W and H respectively, then find the percentage error in the calculated value of P.
Please do & explain with steps: Subparts e f & g please & thank u

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