Biologists studying the healing of skin wounds measured the rate at which new cells closed arazor cut made in the skin of anesthetized newt. Here are the sorted data from 12 news measured in2.micrometers per hour (microm/hr):11 12 18 22 22 23 23 26 29 29 30 31(a)Using the data compute the sample mean of the healing rates. Include appropriate notationand units.Sample mean:(b)Estimate the sample standard deviation (SD). Include appropriate notation and units.Sample SD:(c)Compute and interpret z-score for the healing rate of 26 microm/hr.z-score =Interpretation:

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Answered: Biologists studying the healing of skin…

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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An investigation of the relationship between traffic flow (measured in cars per day) and lead content (measured in micrograms per gram of dry weight) in the bark of trees near the highway yielded the following summary statistics: Sample Mean Sample Standard Deviation Lead Content (micrograms per gram dry weight) 680 240 Traffic Flow (cars / day) 1750 800 The correlation between lead content and traffic flow was found to be r = 0.6 and a scatterplot showed the form to be linear. Based on context, which is the X-variable and which is the Y-variable? Group of answer choices X-variable Y-variable
An insurance company is looking over accident statistics. They want to model the population of all drivers for the population parameter of the standard deviation and variance of the age of the driver involved in an automobile accident. They have a sample of 100 accidents from around the country. The age of the driver in each of these accidents is provided below. Use Excel to calculate the sample standard deviation and the sample variance. Round your answers to one decimal place. Do not round until you've calculated your final answer "Age of people in accident"48643346436728189044472440202747683248472248217347302918487364454920205066654187873417203176493089672222455023481746382942254720463119214227226621236675744621461969202048238851284918204522313823284939 Standard deviation: Variance:
For the data given below, fill in the blanks, using Formulas, Descriptive Statistics and Regression outputs. Mean of X2: 1) 28th Percentile of X1: 2) 3) Standard Deviation of X2: 4) Y XI X2 10 20 400 70 11 30 450 97 12 Median of X2: 10 350 54 5) Correlation Between X1 and Y: Minimum value of X2: 13 20 375 40 14 6) 30 400 65 15 9) bo : 25 400 94 16 7) b,. 30 450 53 17 8) 20 300 35 10) 11) 18 SSR: 10 300 75 19 SSE: 40 300 53 ST: F Statistics: 20 12) Regression output 20 350 64 13) 14) 21 30 450 68 22 Adjusted R Square: 10 400 96 23 15) MSE: 30 325 54 24 16) MSR: 25 17) Standard Error of Regression: 18) 19) 20) 26 Standard error of X2: 27 t-statistics of X2: 28 Fit the regression equation: 29 30 Sheet1
Use R code, place the steps and screenshots of the procedure From the following data of the diameter of a particle in (μm) Calculate: Sample mean, Sample standard deviationHistogram (Frequency vs diameter), Histogram (probability density vs diameter)Curves (equation and graph) that fit the graphs and their explanation Diameter (μm) 2 2.6 1.2 1.8 0.8 2 1.4 1.4 1.4 1.8 1.4 1.4 1.4 0.6 1.2 1.2 41.4 1.4 2.4 1.4 2 2.4 1.8 1.4 2 1.8 2 1.8 0.8 2.2 2.8 2.8 4.6 2 1.4 2.4 1.2 1.4 1.2 5 1.4 1.2 2 0.8 1.4 1.8 1.2 2 1.4 1.4 1.8 2.6
Use the sample data set to evaluate each of the steps in determining the sample standard deviation 23 20 14 35 28 Give an exact answer, not an approximation, for each step except the standard deviation. round the standard deviation to the nearest hundredth.. = = variance, s2 = standard deviation, s =
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 150 142 120 131 167 160 179 156 In this example, Hd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Hd = 0 H₁: Hd 0 Since the P-value is than the significance level, the null hypothesis. There sufficient evidence to support the claim of a difference in measurements between the two arms.
Please complete the following exercises according to Areas under the normal curve table. Find the area under the normal curve for:a)Mean and z=1.49b)Mean and z=1.26c)z=1 and z=2d)z=-1 and z=+1e)Z=-1and z=-1.262
Researchers sampled fish from a lake and measured the lengths (mm) of all individuals of two species, bream and perch. They were interested in testing whether there was a difference in the mean lengths of the two species in the lake. Based on the output below, what would be the correct conclusion to draw? Mean n Std deviation Std error of mean Bream 531.00 6 309.60 126.39 Perch 154.82 11 78.76 23.75 options: Bream are significantly larger on average than perch in this lake. There is no significant difference in average sizes of the two species of fish from this lake. The variances are different so it is not possible to do a statistical test comparing means. Perch are significantly larger on average than bream in this lake.
The mass of each 60 peddles collected from a beach was measured. The results, correct to the nearest gram, are summarised in the following table. Mass 10 – 14 15 – 19 20 – 24 25 – 29 30 – 34 35 – 39 Frequency 8 14 17 11 4 (a) Calculate the mean, median and standard deviation.
Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 147 151 120 132 138 Left arm 177 166 173 145 149 In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? Identify the test statistic. t= (Round to two decimal places as needed.)

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