Q4/ The accompanying specific gravity values for various wood types used in construction appeared in the article "Bolted Connection Design Values Based on European Yield Model" (J. of Structural Engr., 1993): .31 35 .36 .36 .37 .38 .40 .40 .40 .41 .41 .42 .42 .42 .42 .42 .43 .44 .45 .46 .46 .47 .48 .48 .48 .51 .54 .54 .55 .58 .62 .66 .66 .67.68 .75 Construct a stem-and-leaf display using repeated stems and comment on any interesting features of the display.

Q4/ The accompanying specific gravity values for various wood types used in construction appeared in the article "Bolted Connection Design Values Based on European Yield Model" (J. of Structural Engr., 1993): .31 35 .36 .36 .37 .38 .40 .40 .40 .41 .41 .42 .42 .42 .42 .42 .43 .44 .45 .46 .46 .47 .48 .48 .48 .51 .54 .54 .55 .58 .62 .66 .66 .67.68 .75 Construct a stem-and-leaf display using repeated stems and comment on any interesting features of the display.

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Description: Q4/The accompanying specific gravity values for various wood types used in construction appeared in thearticle "Bolted Connection Design Values Based on European Yield Model" (J. of Structural Engr., 1993):.31 35 .36 .36 .37 .38 .40 .40 .40.41 .41 .

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 factory produces furniture as the main product. One of the major components of the furniture product is a steel bar with the specification of the length at 1,250 mm with +/- 10% tolerance. Based on historical records, the average demand for steel bars is 1,000 units per month. The factory receives two quotation prices from two independent suppliers along with the quality control records from their production process of the steel bars as below: (refer to table image) Anticipating that a portion of the steel bars delivered will fall outside the specification limits, the factory is prepared to cut steel bars that are too long, while those that are too short will have to be discarded. Based on the above information, answer the following questions: a. Provide your assessment on the capabilities (based on their capabilities index) of the two suppliers as well as their estimated percentage of defective products against the factory’s specification of the steel bars. b. Which of the two…
Tire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of thesame make and model. The extended data table (left) and fit model report (right) are based on aquadratic model What is the predicted average mileage at tire pressure x = 31?
only define the parameter and write the null and alternative hypotheses The production line for Glow toothpaste is designed to fill tubes with a mean weight of 6 oz.Periodically, a sample of 35 tubes will be selected in order to check the filling process. Qualityassurance procedures call for the continuation of the filling weight for the population of toothpastetubes is 6 ounces; otherwise the processes will be adjusted. Suppose a sample of 35 toothpaste tubesprovides a sample mean of 6.1 oz and standard deviation of 0.2 oz. State the parameter and both hypotheses to help determine whether the filling process should continue operating or be stopped and corrected.
The FDA regulates that fish that are consumed should contain no more than 1.0 mg/kg of mercury. In Florida, bass fish were collected in 24 different lakes to measure the amount of mercury in the fish ('Multi- disciplinary niser activity, 2013). The data for the average amount of mercury in the fish from each lake is in table below. Average mercury level in a lake 0.71 0.15 0.17 0.63 0.43 1.08 0.27 0.5 0.19 1.20 0.94 0.87 0.48 0.44 0.98 0.59 0.28 0.49 1.16 0.25 1.23 0.77 0.73 0.65 For the data shown above, find the following. Round values 3 decimal place (s). Select the correct units for each statistic.
H.jsp?course_assessment_id%3_2002407_1&course_id%3D_2050858_1&contenti Aplicaciones M Gmail YouTube Maps Noticias Traducir Question Completion Status: QUESTION 8 Nabisco claims that Chip Ahoy Cookies have an x-28.67 chocolate chips per cookie with a SD=D2.67. You randomly select 15 cookies from a new bag and carefully remove all the chocolate chips from each of the 36 cookies. You find the mean of the chocolate chips for the 15 cookies is 24.27 chocolate chips per cookie. Calculate the standard error for the chocolate chips in your experiment. (round to the nearest hundredth). QUESTION 9 Nabisco claims that Chip Ahoy Cookies have an x-28.67 chocolate chips per cookie with a SD=2.67. You randomly select 15 cookies from a new bag and carefully remove all the chocolate chips from each of the 36 cookies. You find the mean of the chocolate chips for the 15 cookies is 24.27 chocolate chips per cookie. Calculate the 99% confidence interval LOWER bound for the chocolate chips in your…
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Do the data support the hypothesis that oligofructose facilitates calcium obsorption? What is the test statistic? Do the data support the hypothesis that oligofructose facilitates calcium obsorption? What is the degrees of freedom of the test?
call: Researchers measured the percent 1m(formula = Symptoms - wear_mask, data - some_states) of people in 25 states who ʻknew someone with COVID symptoms' (ŷ) and regressed this on the percent of the population frequently wearing a mask in public (x). Residuals: Min -7.9167 -2.3306 -0.2469 2.5020 7. 3345 10 Median 30 Маx coefficients: (Intercept) 111.0981 wear_mask Estimate std. Error t value Pr (>|t|) 10. 5423 10. 538 2.82e-10 *** -8. 375 1. 94 e-08 *** -1.0419 0.1244 signif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.859 on 23 degrees of freedom Multiple R-squared: 0.7531, F-statistic: 70.15 on 1 and 23 DF, p-value: 1.936e-08 Adjusted R-squared: 0.7423 If 75 percent of people in a state wear masks regularly, what % of people does this model predict will know someone with COVID symptons? 1) 32 2) 33 3) 34 4) 35
zy Section 8.2- MAT 240: Applied S X O https://learn.zybooks.com/zybook/MAT-240-J4373-OL-TRAD-UG.22EWA/chapter/8/section/2?content_resource. prary > MAT 240: Applied Statistics home> Hypothesis test for the difference between two population proportions A Q ta E zyBooks catalog O Help/FAQ Lashon 387674.1891676.qany? Jump to level1 A state housing department is trying to determine if housing prices in county B are lower than in county A. The department decides torandormly sample recently sold houses in both counties and determine what proportion sold for more than $250,000. Since county A is considerably larger than county B, the housing department chose a larger sample from county A. The results of the data collected are shown below. County A County B Successes 665 Successes 340 Observations 900 Observations 500 p-hat_1 0.739 p-hat 2 0.68 Confidence level 99% p= Ex: 1.234: 2-Score 2.346 Pvalue 0.00939 -3 -1 -1 County A samples: 21 = Ex: 9 2 = Ex: 1.234, County B samples: n2 = Sample…
A process has a process capability index of Cp = 1.2. a) Assume the process mean is set to its optimal value. Express the upper and lower specification limits in terms of the process mean and standard deviation. b) Using the normal curve, estimate the proportion of units that will be nonconforming. c) Is it likely or unlikely that the true proportion of nonconforming units will be quite different from the estimate in part (b)? Explain.
A company was experiencing a chronic weld-defect problem with a water-outlet-tube assembly. Each assembly manufactured is leak tested in a water tank. Data were collected on a gap between the flange and the pipe for 6 bad assemblies that leaked and 6 good assemblies that passed the leak test. Leaked 0.290 0.104 0.207 0.145 0.104 0.124 Did not Leak 0.207 0.124 0.062 0.301 0.186 0.124 Calculate the sample mean for both the assemblies that leaked and those that did not. Calculate the sample standard deviation for both the assemblies that leaked and those that did not. Does there appear to be a major difference in gap between assemblies that leaked and those that did not?
A professor of mathematics teaches at a catholic school and at a public school. He wants to know whether attending a catholic school leads to higher grades. He collected data from 7,430 students from both school's types. Considering this information, please answer the following questions: a) How can you interpret the OLS outcome on whether the child attended a catholic school (cathhs) is important to explain students' grade? Source Model Residual Total cathhs lfaminc SS 143098.058 521610.985 motheduc fatheduc 664709.043 df math12 Coefficient Std. err. 17887.2573 8 7,421 70.2885036 7,429 89.4749015 1.623158 .4106669 1.447696 .1431147 .0613988 .7345401 .832485 . 055494 black -5.226717 hispan -1.221689 asian 3.28341 female _cons MS .3915981 .3328612 .4438741 -1.066021 .1950649 16.72931 1.355485 Number of obs F(8, 7421) Prob > F R-squared Adj R-squared Root MSE t P>|t| 3.95 0.000 0.000 10.12 11.96 0.000 15.00 0.000 -13.35 0.000 -3.67 0.000 7.40 0.000 -5.46 0.000 12.34 0.000 = .8181343…