4. Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. Use a 0.05 significance level to test the claim that the different size categories have the same median cheşt deceleration in the standard crash test. mall 44 39 37 54 39 44 42 Medium 36 53 43 42 52 49 41 Large 32 45 41 38 37 38 33 5. Listed below are the overhead widths (in cm) of seals measured from photographs and the weights of the seals (in kg). Is there sufficient evidence to conclude that there is a correlation between overhead widths of seals from photographs and

4. Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small, midsize, and large cars. Use a 0.05 significance level to test the claim that the different size categories have the same median cheşt deceleration in the standard crash test. mall 44 39 37 54 39 44 42 Medium 36 53 43 42 52 49 41 Large 32 45 41 38 37 38 33 5. Listed below are the overhead widths (in cm) of seals measured from photographs and the weights of the seals (in kg). Is there sufficient evidence to conclude that there is a correlation between overhead widths of seals from photographs and

Name: 4. Use the following listed chest deceleration measurements (in g, wh
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Description: 4. Use the following listed chest deceleration measurements (in g, where g is the force of gravity) from samples of small,midsize, and large cars. Use a 0.05 significance level to test the claim that the different size categories have the samemedian

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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TEACHER Weatherwse is a magazine pubilished by the American Meteorological Soclety. One issue grves a rating system used to classity Nor'easter storms that frequently hit New England and can cause much damage near the ocean. A severe storm has an average peak wave height of 16.4 feet for waves hitting the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land (using binoculars) off fixed cement piers. Suppose that a reading of 40 waves showed an average wave height of x 16.7 feet. Previous studies of severe storms indicate that 35 feet. Does this information suggest that the storm is (perhaps temporarily) increasing above the severe rating? Use 0.01. (a) What is the level of significance? State the nul and alternate hypotheses Hel 16.4 Ht >16.4 t Mo 16.4 t, H< 164R Ho: - 16.4 t, H 16.4 R Hot 16.4 n; H- 16.4 t H < 16.4 n; H- 164n (b) What sampling distribution will you use? Explain the rationale for your choice…
The table below displays the coronary artery disease data. The response, presence of coronary artery disease (CA), is dichotomous. The explanatory variables are sex and electrocardiogram (ECG) measurement. Sex ECG Disease No Disease Total Female Low 4 11 15 Female High 10 18 Male Low 18 Male High 21 27 Calculate the Mantel-Haenszel's estimate of the common odd-ratio value between ECG and coronary artery disease status. Round the value to the second decimal place. For example, 2.3414 would be 2.34.
Two of your friends at School A and School B heard that you are taking a statistic course and would like your help with their chemistry lab reports. They both have 10 independent measurements of the specific gravity of a compund from different populations. Their results are: School A 4.50 3.82 3.50 3.93 3.35 3.65 3.67 3.44 3.20 3.80 School B 5.10 4.34 2.40 4.90 1.23 3.89 1.87 5.30 4.65 4.70 They would like to know whether the data show convincingly that there is a significant difference between the two report given a Significance level of 1%. What is your conclusion?
In automobile mileage and gasoline-consumption testing, 13 automobiles were road tested for 300 miles in both city and highway driving conditions. The following data were recorded for miles-per-gallon performance. City: 16.7 17.2 16.4 14.9 13.7 15.8 17.3 16.5 16.6 15.8 15.7 15.8 16.7 Highway: 20.0 21.2 18.9 19.2 19.8 18.0 17.8 19.2 19.6 21.7 20.0 19.1 19.3 Calculate the mean, median, and mode for City and Highway gasoline consumption (to 1 decimal). City Highway Mean Median Mode The data are bimodal: and
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Below is a list of vertical jumps (in cm) for 24 athletes who compete in various different sports.28 45 55 46 70 72 62 32 75 68 74 54 50 62 63 31 55 68 73 55 60 69 68 92Part A. Using # of classes = 4, create a frequency table for the given data set, and use your frequency table to construct a histogram.Part B. Using the data set above, calculate the quartiles Qi where i = 0, 1, 2, 3, 4, and construct a box-and-whiskers plot for this data set.Part C. Calculate the 15th percentile of this data set.
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Values of modulus of elasticity (MOE, the ratio of stress, i.e., force per unit area, to strain, i.e., deformation per unit length, in GPa) and flexural strength (a measure of the ability to resist failure in bending, in MPa) were determined for a sample of concrete beams of a certain type, resulting in the following data: MOE 29.7 33.1 33.6 35.2 35.4 36.2 36.2 36.3 37.4 37.8 Strength 5.8 7.1 7.2 6.2 8.0 6.9 7.1 7.7 6.7 6.4 МОЕ 38.6 38.7 39.7 40.9 42.7 42.7 43.6 45.7 45.9 46.8 Strength 7.1 6.4 8.0 8.9 8.3 8.8 7.9 9.6 7.3 7.6 МОЕ 47.9 49.2 51.6 62.7 69.7 79.6 80.1 Strength 9.8 7.7 7.8 11.5 11.4 11.9 10.6 Fitting the simple linear regression model to the n = 27 observations on x = modulus of elasticity and y = flexural strength given in the data above resulted in ý = 7.589, s, = 0.180 when x = 40 and ý = 9.749, s, = 0.255 for x = 60. The simple linear regression model also resulted in a value of s = 0.8718. (a) Explain why s, is larger when x = 60 than when x = 40. O The closer x is to…
Pulling Apart Wood. How heavy a load (in pounds) is 4step needed to pull apart pieces of Douglas fir 4 inches long and 1.5 inches square? Here are data from students doing a laboratory exercise: 33,190 31,860 32,590 26,520 33,280 32,320 33,020 32,030 30,460 32,700 23,040 30,930 32,720 33,650 32.340 24,050 30,170 31,300 28,730 31,920 We are willing to regard the wood pieces prepared for the lab session as an SRS of all similar pieces of Douglas fir. Engineers also commonly assume that characteristics of materials vary Normally. Suppose that the strength of pieces of wood like these follows a Normal distribution, with standard deviation 3000 pounds. Is there statistically significant evidence at thea = 0.10 level against the hypothesis that the meanis 32,500 pounds for the two-sided alternative? Is there statistically significant evidence at thea = 0.10 level against the hypothesis that the meanis 31,500 pounds for the two-sided alternative?
Values of modulus of elasticity (MOE, the ratio of stress, i.e., force per unit area, to strain, i.e., deformation per unit length, in GPa) and flexural strength (a measure of the ability to resist failure in bending, in MPa) were determined for a sample of concrete beams of a certain type, resulting in the following data: MOE 29.7 33.1 33.6 35.2 35.4 36.2 36.2 36.3 37.4 37.8 Strength 5.8 7.1 7.2 6.2 8.0 6.9 7.1 7.7 6.7 6.4 MOE 38.6 38.7 39.7 40.9 42.7 42.7 43.6 45.7 45.9 46.8 Strength 7.1 6.4 8.0 8.9 8.3 8.8 7.9 9.6 7.3 7.6 MOE 47.9 49.2 51.6 62.7 69.7 79.6 80.1 Strength 9.8 7.7 7.8 11.5 11.4 11.9 10.6 Fitting the simple linear regression model to then = 27 observations on x = modulus of elasticity and y = flexural strength given in the data above resulted in ý = 7.589, s, = 0.180 when x = 40 and ý = 9.749, s, = 0.255 for x = 60. The simple linear regression model also resulted in a value of s = 0.8718.