An experiment measuring the percent shrinkage on drying of 50 clay specimens produced thefollowing data18.221.223.118.515.620.819.415.421.213.416.418.718.219.614.316.624.017.617.820.217.423.617.520.316.619.318.519.321.213.920.519.017.622.318.421.220.421.420.320.119.620.614.819.720.518.020.815.823.117.0Compute the sample mean, median, and mode.Analyze the given problem using frequency distribution

Know that Mean = sum of all observations/total number of observations Median = middle value of the…

Answered: An experiment measuring the percent…

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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H3. Discuss the findings on Table 1
Suppose you are asked to toss a coin 16 times and calculate the proportion of the tosses that were heads. a. What shape would you expect this histogram to be and why? b. Where you do expect the histogram to be centered? c. How much variability would you expect among these proportions? d. Explain why a Normal model should not be used here.
Look at the attached images. Explain and analyse for INR group A and B. Thank you!
Use the following sample to estimate a population mean μμ. 46.6 32.3 36.1 39.6 34.8 47.9 44.7 20.5 17.8 53.1 63.7 40 37.1 54.9 53.5 40.9 34.6 63.3 12.8 42.4 39.9 57 1.5 43.2 68.2 33.8 16.2 25.8 45.8 32 27.2 45.2 8.3 52.9 29.8 22.4 40.5 23.2 58.3 42.1 47.9 38 Download CSV Find the 99% confidence interval about the population mean. Enter your answer as a tri-linear inequality accurate to two decimal place. < μμ <
Given the data points, 8.12 8.08.8.05-8.16 8.11.8.17,8.14, calculate the Standard Error in the Mean. Select one: O a. 0.00196 Оь. 0.01289 O c. 0.04298 O d. 0.01625 Oa.
day.of.year time.of.day sampling.time soil.temperature soil.water.content 174 8am 174.25 24 0.358 174 2pm 174 8pm 174.5 29.85 0.352 174.75 31.4 0.346 175 2am 175 27.44 0.338 175 8am 175.25 25.05 0.331 175 2pm 175.5 29.98 0.329 175 8pm 175.75 31.29 0.325 176 2am 176 27.8 0.318 176 8am 176.25 25.2 0.313 176 2pm 176.5 29.84 0.311 176 8pm 176.75 31.27 0.309 177 2am 177 27.46 0.303 177 8am 177.25 24.87 0.298 177 2pm 177.5 29.56 0.298 177 8pm 177.75 30.17 0.296 178 2am 178 26.5 0.291 178 8am 178.25 24.89 0.288 178 2pm 178.5 28.38 0.288 178 8pm 178.75 32.68 0.288 179 2am 179 27.53 0.283 179 8am 179.25 25.2 0.28 179 2pm 179.5 30.44 0.279 179 8pm 179.75 34.34 0.278 180 2am 180 28.92 0.275 180 8am 180.25 26.5 0.272 180 2pm 180.5 31.41 0.27 180 8pm 180.75 34.61 0.267 181 2am 181 29.61 0.265 181 8am 181.25 27.09 0.262 181 2pm 181.5 31.79 0.26 181 8pm 181.75 35 0.256 182 2am 182 30.23 0.254
8.88. 16.0 18.0 20.0 22.0 24.0 26.0 28.0 30.0 32.0 34.0 36.0 38.0 40.0 42.0 44.0 MPGCity a) How many hatchbacks get 23 mpg in the city? Describe the distribution of the dotplot. b) What is/are the mpg rate(s) that occur most frequently? c) Which mpg rate is the middle rate (this measure of center is typically called the median)? What is the mean mpg? d) Take the data from the dotplot to create a boxplot, stem-and-leaf plot, and histogram. You must use software, such as StatCrunch or the Art of Stat to create your graphs.
A statistical program is recommended. A paper gave the following data on n = 11 female black bears. Age(years) Weight(kg) Home-RangeSize (km2) 10.5 54 43.0 6.5 40 46.6 28.5 62 57.4 6.5 55 35.7 7.5 56 62.0 6.5 62 33.8 5.5 42 39.7 7.5 40 32.3 11.5 59 57.2 9.5 51 24.3 5.5 50 68.6 (a) Fit a multiple regression model to describe the relationship between y = home-range size and the predictors x1 = age and x2 = weight. (Round your numerical values to four decimal places.) = (b) If appropriate, carry out a model utility test with a significance level of 0.05 to determine if at least one of the predictors age and weight is useful for predicting home range size. State the null and alternative hypotheses. H0: ?1 = ?2 = 1Ha: at least one of ?1 or ?2 is not 1.H0: At least one of ?1 or ?2 is not 1.Ha: ?1 = ?2 = 1 H0: ?1 = ?2 = 0Ha: at least one of ?1 or ?2 is not 0.H0: At least one of ?1 or ?2 is not 0.Ha: ?1 = ?2 = 0 Calculate the test…
In an experiment to determine whether there is a systematic difference between the weights obtained with two different scales, 10 rock specimens were weighed, in grams, on each scale. The following data were obtained: Specimen Weight on Scale 1 Weight on Scale 2 1 13.36 13.19 2 16.80 16.43 3 9.75 9.52 4 11.03 11.47 5 26.00 26.22 6 10.80 10.73 7 14.68 14.74 8 6.60 6.72 9 13.02 12.95 10 22.29 22.64 Let μ1 represent the mean weight on Scale 1 and =μd−μ1μ2.Can you conclude that the the mean weight on Scale 1is less than the mean weight on Scale 2? Use the = α0.05 level of significance. (a) State the null and alternate hypotheses. (b) Compute the test statistic. (c) State a conclusion.
Q5) The following data represent the yield on 90 consecutive batches of ceramic substrate to which a metal coating has been applied by a vapor-deposition process. Find the sample mean, median, variance and coefficient of variation of the given data. 94.186.1 95.3 84.9 88.8 84.6 94.4 84.1 93.2 90.4 94.1 78.3 86.4 83.6 96.1 83.7 90.6 89.1 97.8 89.6 85.1 85.4 98.0 82.9 91.4 87.3 93.1 90.3 84.0 89.7 85.4 87.3 88.2 84.1 86.4 93.1 93.7 87.6 86.6 86,4 86.1 90.1 87.6 94.6 87.7 85.1 91.7 84.5 95.1 95.2 94.1 96.3 90.0 86.1 92.1 94.7 89.4 90,6 89.6 90.0 90.1 92.4 94.3 96,4 87.3 93.2 88.2 86,6 86.7 86,4 91.1 88.6 92.4 84.1 94.3 90.6 82.6 97.3 91.2 83.0 85.0 89.1 83.1 96.8 87.5 84.2 85.1 90.5 95.6 88.3
The following sample data give the flexural strength (MPa) for concrete beams of a certain type. 7.3, 6.3, 6.8, 7.0, 7.6, 6.8, 7.0, 6.3, 7.9, 9.0, 7.8, 9.7, 7.8, 11.6, 11.8, 10.7 Calculate a point estimate of the mean value of strength for the conceptual population of all beams manufactured in this fashion, and give the estimator you used. O Etr(6.25) = 8.09 μ. 8.21 * = 8.21 * = 8.14
Assuming the footsizes of the Japan are normally distributed, do men and women differ in footsize in one class at 0.05 level of significance? M 21.5 22 22.5 23 23.5 24 24.5 25 25.5 26 26.5 27.5 28.5 29.5 30.5 31.5 W 21 21.5 22 22.5 23 23.5 24 24.5 25 25.5 26 27 Japan 28 29 30 31 4. Write a Hypothesis between these data of footsizes in Japan 5. Determine the tailed test and level of significance 6. Run the analysis (T-test for independent groups) using Microsoft Excel Data Analysis and state the conclusion

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