Temperature transducers of a certain type are shipped in batches of 50. A sample of 60 batches was selected, and the number of transducers in each batch not conforming to design specifications was determined, resulting in the following data:4702 31 1 2 3 1 13 2053 310421 3 11 3 4 1 2 3 2502 3.3: 2 2106 4 2 1 6 03 228 4 5 1 13 3 13 3 3 6 12 2USE SALT(a) Determine frequencies and relative frequencies for the observed values of x= number of nonconforming transducers in a batch. (Round your relative frequenciesNonconformingFrequencyx012345678RelativeFrequency(b) What proportion of batches in the sample have at most six nonconforming transducers? (Round your answer to four decimal places.)What proportion have fewer than six? (Round your answer to four decimal places.)What proportion have at least six nonconforming units? (Round your answer to four decimal places.)(c) Draw a histogram of the data using relative frequency on the vertical scale.PercentPercent180—four decimal places.)

We are given data on temperature transducers of a certain type in batches of 50. A sample of 60…

Answered: Temperature transducers of a certain…

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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A population data set produced the following information. Find the values of O and p². Round to four decimal places and p² to three decimal places. de = p² = i N = 250, Σ x = 9970, Σy = 1473, Σ xy = 85,270 [x²: = 486,260, and Σ ν = 134,385 i
It is crucial to have a minimum weight difference for each bearing ball before they are assembled into the bearing races. Inspections are constantly being conducted by a factory manager for all production belts to ensure that the bearing balls are in the correct weights. At each round of inspection, five bearing balls are selected randomly from each belt and carefully weighed. A random sample of four inspection belts were selected. The results are as follows: Belt Weight of bearing ball (in grams) 1 1.22 1.23 1.22 1.24 1.23 2 1.21 1.20 1.22 1.20 1.20 3 1.20 1.20 1.19 1.19 1.21 4 1.19 1.18 1.18 1.18 1.20 a) State an appropriate model and its assumptions. b) By using an ANOVA test, determine whether the weight of bearing balls differs among the production belts? Use a = 0.10.
2. Who supports gun control laws more: females or males? Data were collected from a sample of 980 people. We see that 379 of the 460 females in the sample support gun control laws, while 318 of the 520 males in the sample support gun control laws. We will investigate the difference in proportions of females and males who support gun control laws. (This dataset is preloaded in Statkey.) a) What parameter are we trying to estimate? Give correct notation and a brief written description. b) What is the best point estimate for the difference in the proportions of gun control law supporters? Use correct notation and include the value. c) Find a 99% bootstrap confidence interval using the Percentile Method Include a screen shot of your StatKey output. 99% CI: d) Find a 95% bootstrap confidence interval using the Standard Error Method (show calculations based on bootstrap estimate of standard error as shown in graph from previous step): 95% CI e) Interpret the 95% confidence interval. Be sure…
Recall that Benford's Law clalms that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a v leading digit is about 0.301. Now suppose you are the auditor for a very large corporation. The revenue file contains millons of numbers in a large computer data bank. You draw a random sample of n = 229 numbers from this file and r 85 have a first nonzero digit of 1. Let p represent the population proportion of all numbers in the computer file that have a leading digit of 1. large data file, the probability of getting a number with "1" as the () Test the dalm that p is more than 0.301. Use a 0.10. (a) what is the level of signifcance? State the null and alternate hypotheses. O Hg: p = 0.301; H p> 0.301 O Hgi P = 0.301; Hip 0.301; Hp- 0.301 O Ho: P= 0.301; H: p- 0.301 (b) what sampling distribution will you use? O The Student's t, since np > 5 and ng > 5. O The…
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1. The Stem and Leaf output that corresponds to a set of test scores is as follows: N = ? Stem-and-leaf of C1 Leaf Unit = 0.1 133788 15 3. 114566669 (x) 4 0024456677788 11 5. 0699 6. 338 247 y 1 1 i. How many data points form this set? ii. What is the value of x? iii. What is the value of y? iv. What is the lowest score v. What is the highest score? vi. List the first 5 class intervals for the stem-and-leaf 00
An experiment is designed to determine the effect of four different types of tips in a hardness tester on the observed hardness of a metal alloy. Four specimens of the alloy were obtained, and each tip was tested once on each specimen, producing the following data: Specimen Туре of Tip 4 9,3 9,4 9,2 9,7 9,4 9,6 9,8 9,5 10 9,3 9,4 9,6 9,9 9,7 10,2 3 4 10 What is your conclusion about this test at 0.05 level of significance? a. There is no difference between four specimens of the alloy. O b. At least one specimens of the alloy is different.
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