Viewy: Good to goA EEN TAHelp5Paragraph√HUNormal8 temperature measurements are made in a laboratory over a period of time and the followingvalues are obtained:44.6,50.2,46.2,48.2.47.6,551,45.1, 78.9Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use thechauvenets table.CI.No SpacingHeading 11.Styles&Heading 2TitleD

Given data values are: 44.6, 50.2, 46.2, 48.2, 47.6, 5.61, 45.1, 78.9 The objective is to use…

Answered: 8 temperature measurements are made in…

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 quality control manager in an Omani bottling company takes 5 samples for quality control purposes. These sample mean (X-bar) are; 8.51, 8.18, 11.07, 10.03, and 10.23 respectively. Additionally, the range values for these 5 samples are; 3.33, 2.61, 3.39, 4.39, and 6.49. If the lower control limit for X-bar chart is 7.906, what should be the most appropriate sample size? O a. None is correct O b. 4 O d. 5 O e. 7
Find the proportion of N.d. observations with a zz-score between z_1 =z1= -2.45 and z_2 =z2= 2.71. Give your answer to four decimal places.
In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 5 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 172.11, 219.58, 208.24, 112.44, and 123.30 respectively. In the same sample, the corresponding ranges are: 13.17, 13.38, 15.34, 13.04, and 13.02 respectively What are the lower and upper control limits for the X-bar chart? O a. 157.21, 177.05 O b. 146.01, 157.87 Oc. 159.25, 175.02 O d. None is correct O e. 142.92, 160.66 Of. 143.55, 165.47
A sample of 15 participants took part in a hearing experiment. Among other things, the absolute hearing threshold (in decibels) was measured for each participant. The 15 measurements were as follows. 25,22,18,35,37,34,31,39,39,39,36,36,33,33 30 Draw the histogram for these data using an initial class boundary of 17.5, an ending class boundary of 45.5, and 4 classes of equal width.
Please see below. Note that I am only given one attempt at this and I believe that the answer I have may not be correct. In selecting the sample size to estimate the population proportion pp, if we have no knowledge of even the approximate value of the sample proportion p̂ p^, we:A. take two more samples and find the average of their p̂ p^B. let p̂ =0.95p^=0.95C. let p̂ =0.50p^=0.50D. take another sample and estimate p̂ p^ Under which of the following circumstances is it impossible to construct a confidence interval for the population mean?A. A normal population with a large sample and a known population variance.B. A normal population with a small sample and an unknown population variance.C. A non-normal population with a large sample and an unknown population variance.D. A non-normal population with a small sample and an unknown population variance.
A sample of 17 participants took part in a hearing experiment. Among other things, the absolute hearing threshold (in decibels) was measured for each participant. The 17 measurements were as follows: 25, 22, 18, 35, 37, 34, 31, 36, 36, 36, 33, 33, 30, 30, 30, 26, 26 Send data to calculator Draw the histogram for these data using an initial class boundary of 17.5 and a class width of 4. Note that you can add or remove classes from the figure. Label each class with its endpoints. Frequency 7- 5+ 4+ 2+ 1- Absolute hearing threshold (in decibels) 3.
A sample of 14 participants took part in a hearing experiment. Among other things, the absolute hearing threshold (in decibels) was measured for each participant. The 14 measurements were as follows: 25, 22, 18, 35, 37, 34, 18, 18, 39, 39, 39, 36, 36, 33 Send data to calculator Draw the histogram for these data using an initial class boundary of 17.5 and a class width of 7. Note that you can add or remove classes from the figure. Label each class with its endpoints. Frequency 7+ 6+ 5- 4+ 3+ 0 0 0 0 Absolute hearing threshold (in decibels) 0 17.5 0:00 00:0 X
Home-myRCC mylearning.suny.edu/d21/le/content/920969/viewContent/25846458/View The following data represents the age of 30 lottery winners. Given the frequency distribution for the data, Age Frequency Relative Frequency Cumulative Relative Frequency [20,29] 0.1667 [30,39] 0.1 [40,49] 0.2 [50,59] 0.1 [60,69] [70,79] [80,89] 8 ✓ A.1 HW-23FA STATISTICS (81 x 5 3 6 3 4 8 1 What is the frequency of lottery winners of age between 19 and 40? 30 ✓% 0.1333 0.2667 0.0333 What percentage of lottery winners are 70 years or older? 0.266 + What is the relative frequency of ages under 40? What is the cumulative relative frequency of lottery winners younger than 50? O 0.1667 0.2667 0.4667 0.5667 0.7 0.9667 1 SEP 13
In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 4 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 156.46, 199.62, 189.31, 102.22, and112.09 respectively. In the same sample, the corresponding ranges are: 11.97, 12.17, 13.94, 11.86, and 11.83 respectively. What are the lower and upper control limits for the X-bar chart? O a. 145.40, 190.72 O b. 143.55, 165.47 144.77, 159.11 O d. 156.55, 170.47 O e. 142.92, 160.96 Of. None is correct US PAGE NEXT PAGE
Use e the 1.5x IQR rule to find the lower and upper limits for determining suspected outliers. (Enter your answer rounded go there decimal places.) lower value: upper value:
Question: From the following ultimate class frequencies of the positive and negative classes and the total number of observations: (AB) = 100, (B) = 80, (AB) 50, %3D (aß)=40.
Consider the following data about number of hours that a sample of 10 person from population spent on studyin after class per day 5 4 4 2 5 0 2 3 5 10 calculate z score for observation 0 and interpret. USE IQR method and comment if the observation 10 is an outlier. Use one decimal place

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8 temperature measurements are made in a laboratory over a period of time and the following values are obtained: 44.6,50.2.46.2.48.2.47.6,561.45.1, 78.9 Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use the chauvenets table.