Q4. In order to inspect the quality of steel poles production we have selected 20metal columns from the production line and measured the length (cm L) each piece1711171314151813121416161512151515141611Design specification are: L (15+/-1) cm1- Study this data (Range, Average, S and variance)2- What is the percentage of production corresponding to the specifications and thepercentage of defective production?3- Draw the graph of frequency distributions.4- What the pattern kind of frequency distributions?

Answered: Image /qna-images/answer/829f8276-9fcf-43cc-8c05-b1084b69603d.jpg

Answered: Q4. In order to inspect the quality of…

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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To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. What conclusion can you draw after carrying out this test?
6. A sample of 5 fathers and their eldest sons gave the following data about their weight in Kgs. Father (x): 65 60 67 63 74 Son (y): 49 45 57 40 60 CS Scanned with CamScanner
6. In a field experiment, the earth worm densities observed in different sites with varying soil moisture regimes are given below. Is there any relationship between the soil moisture and earth worm densities: Moisture % 6 25 12 8 16 20 30 22 27 31 Earth worm density (No./m2) 0 5 3 14 10 12 14 6
a.In an aquaculture study the following variables were measured on each fish: sex. Initial weight (g), bodytemperature (C), weight gain (g). For each variable indicate the scale of measurement. (b) A weed killer is to be applied at a rate of two ounces per 1000gallons of water (2oz/1000gallons). What is the application rate in ml/1000litrtrs if there are 28.375 ml/oz and 4.5liters/gallon? (c) The term test scores of 15 students enrolled in a Business statistics class were recorded inascending order as follows 4, 7, 7, 9, 10, 11, 13, 15, 15, 15, 17, 17, 19, 19, 20. After calculatingthe mean, median and the mode an error is discovered: one of the 15’s is really a 17. Of the threemeasures of central tendency which will change? (d) A student discovers that his grade on a recent test was the 72 nd percentile. If 90 students wrotethe test, then approximately how many students received a higher grade than he did?
The following are the weight (in grams) and quantity of volatile emissions (in hundreds of nanograms) for plants. A scatterplot of the data is given to the right. Weight (x) 57 87 56 63 54 66 63 79 77 52 Quantity (y) 9.0 21.5 10.0 22.5 12.5 11.5 7.5 13.5 16.5 22.0 30- Y 6 9 20+ 10- 0+ 40 60 80 100 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r. Q
This requires manual calculation as well as analyzing data using the statistical package R. The detailed rubric for this may be located in the guide as well as the document. You will be working with the KBP dataset provided in the course space. You will also need to use the document, Questions for KBP Survey. This document has selected questions as they appeared on the questionnaire that was administered to collect the data for this project. 1. Classify the variables by the levels of measurement used. Explain your choice of the levels of measurement. 2. Using R, generate a graph to represent the sample by alcohol usage in the past 4 weeks. What can you say about alcohol usage among this sample of young persons? 3. Using R, calculate the proportion of individuals by relationship status and report in a relative frequency distribution table. Respondents # Age of Respondent Sex of Respondents Relationship Status Age at first Sexual Encounter Practice Religion number of persons use…
8. An entrepreneur wanted to assess the quality of eggs produced by his subcontractors. He measured the weight (Y in g) of each egg in a selected pen as well as its circumference (X, in cm) to obtain the size. Define the population of the study.
The Centre of Student Experience (CSE) needs to know freshmen' average spending at UNIMY on campus supplies, food, stationery, and books. The CSE randomly study 100 freshmen studying on campus and their spending ranged between RM300-RM500 per month. Based on the above study, determine the following terms: vi. Measurement scale vii. Statistic viii. Parameter ix. Is research based on descriptive statistics or inferential statistics? Justify your answer. x. Is data collected from an observational study or an experimental study? Justify your answer.
4.) A person's muscle mass is expected to decrease with age. To explore this relationship, a researcher randomly selected 10 persons from ages 40 to 79 years old and measured their muscle mass (unit). The result is as follows: X (age) Y (muscle mass) 71 64 43 67 56 73 68 56 76 65 82 91 100 68 87 73 78 80 65 84 Based on the given data, do the following: a) Plot the scatter diagram of the given data. [3pts] b) Obtain the regression line equation. [4pts] c) Estimate the muscle mass when age of the person is 60 years old. [3pts] 5.) Recognize how each shape has transformed. [2pts each] a.) b.) c.)
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1. Report the answer with the correct number of significant figures: a b C d e |f 6.0 g Ih li lj 1.4 +2.35 = 7.635 +2.34 = 13.627 -1 = 11.681 3.2 = 14.40 +2.6 - 7.211 = 13.60*3= |27.1*3.47 = 69.3 / 2.467 = 47.321/5.7 = 72.367/8.34 * 2.1 =
3. The 4th decile for the given data is: f 1 1 9. 2 26 3 59 4 72 5 52 29 7 7 8 1 А. 5 С. 4 В. 3 D. 7

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