(c) What is the probability that the acceptance sampling plan will reject a lot containing 0.03 defective? (Round your answer to four decimal places.) You may need to use the appropriate technology to answer this question.A manufacturer produces lots of a canned food product. Let p denote the proportion of the lots that do not meet the product quality specifications. Ann-35, c-0 acceptance sampling plan will be used(a) Compute points on the operating characteristic curve when p-0.01, 0.03, 0.10, and 0.20. (Round your answers to four decimal places.)p=0.01C0(b) Plot the operating characteristic curve.OProbability of Accepting the Lotity of Accepting the Lot1.000.800.600.400.200.001.000.80+0.600.40P=0.03n20²P= 0.1051015Percent Defective in the Lot20@Op=0.201Probability of Accepting the Lot1.000.800.600.400.200.0051015Percent Defective in the Lot20Probability of Accepting the LotDO1.000.800.600.400.200.003 10 15Percent Defective in the Lot20@

The manufacturer produces lots of canned food products.Consider a simple sampling plane let p be the…

Answered: You may need to use the appropriate…

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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please answer e,f,g
Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence to conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u. 2 Ha represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H.. Ho: H - X Cost of batteries by type The claim the V hypothesis. Group size 35 Group size 65 Group size 24/ 24F 91 99 111 119 126 O 91 144 174 180 278 79 84 126 140 140 (b) Find the critical value, Fo. and identify the rejection region. The rejection region is F Fo, where Fo- (Round to two decimal places as needed.) (c) Find the test statistic F. F= (Round to two decimal places as…
Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…
Please determine the critical value
A process is monitored for defective items by taking a sample of 200 items each day and calculating the proportion that are defective. Let p; be the proportion of defective items in the ith sample. For the last 30 samples, the sum of the proportions is E P; = 1.64. Calculate the center line and the 30 upper and lower control limits for a p chart.
J In-shop othesis test for the difference between two population proportions 02562 2600368.qx3zqy7 Jump to level 1 The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Y Pick Drive-through Successes 27 Successes What is the level of significance? Ex: 0.12 Observations 76 Observations 41 119 0.345 p-hat_1 0.355 p-hat_2 What is the null hypothesis Ho? Pick Confidence Level 0.1429 What is the alternative hypothesis Ha? Pick p-value Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. 2 p W
You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewer than 31 students. You want to test this claim. You randomly select 18 classes taught by full-time faculty and determine the class size of each. The results are shown in the table below. At a = 0.05, can you support the university's claim? Complete parts (a) through (d) below. Assume the population is normally distributed Ha μ#31 33 26 (b) Use technology to find the P-value. 25 30 28 38 33 36 H₂ μ31 EN 25 28 310 24
Resting Pulse: earlier this semester we determined our resting pulse. Seventy-nine individuals participated in this data collection. The mean heart rate for all individuals was 65.34 beats per minute. A random sample of 30 heart rates having a mean of 64.97 beats per minute is presented here. Build a frequency table of these data containing six (6) classes with the lower llimit of the second class at 54 beats per minute. Build a chart appropriate for the presentation of these data. Data: 49, 51, 53, 56, 57, 58, 60 , 60, 62, 62, 62, 64, 64 65, 65 , 65, 67, 68, 68, 68, 69, 70 , 70, 72, 72, 72, 72, 75, 75 , 78,
The government is interested to estimate the proportion of families gathering in the weekends, in a city. The city is divided into three blocks. A stratified random sample of 60 households was selected proportionately from each block considering the blocks as strata. The summary data of the survey are presented in the following table. Stratu Ni m (i) |X; Mean S; Pi 1 120 18 35.0 4.0 0.5 О.2 0.9 130 15 20.0 5.0 180 27 30.0 6.0 25 i) Estimate the proportion of family gathering in the weekend, and obtain a 95% confidence interval of your estimate. Interpret the results. ii) Find the appropriate sample size and its allocation for estimating the total family gathering, with a bound of 50 points on the error of estimation. Assume that the stratum standard deviations are o1=8, 02=12 and , o3=4. LO NO Oold 23
Benign prostatic hyperplasia is a non-cancerous enlargement of the prostate gland that adversely affects the quality of life of millions of men. A study of a minimally invasive procedure for the treatment of this condition looked at pretreatment Quality of Life (QOL Base) and Quality of Life (QOL 3Mo) after 3 months on treatment. Quality of Life was rated using an ordinal scale of 0 to 6, where 0 is "Delighted" and 6 is "Terrible" Create a "Delta" column depicting the Difference between the Base and 3-month ratings Find the Mean of the Differences, Standard Deviation and Standard Error for the Delta values Is there a Significant Difference in Quality of Life 3 months after treatment? Find the tsat value and the corresponding p-value boundaries using Table C
Two universities give samples of students the same exam. School A records the follwoing sample statistics: ā1=73, 8,=5.5, ni =80. School B records the follwoing sample statistics: z=69, ,=4.4, n2 =90. We wish to build a 95 % cofidence interval to estimate the difference in means between these schools. Define your variable: O Let p be the proprotion School A students that were higher than School B. Let u the mean test score that School A was higher than School B. Let u be the mean test score. O Let u be the mean test score at School A. Create and interpret a 95% Confidence Interval. Round your answers to one decimal place. Select an answer and Select an answer What is the margin of error? Round your answer to one decimal place. Do these results suggest that School A might have higher means on this test? ? Do these results PROVE that School A might have higher means on this test? The campus president at School A made the following statement. "Our students score an average of 5 points…
your car is more crowded than you think. table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.

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