A group of researchers studied the effect of acid rain on wildlife and collected n = 12 samples from streams in different States.They recorded the pH (X) of the water (i.e. units above pH 7), and the BCI, a measure of biological diversity (Y). The data obtainedis summarized below.DATA:Observation123456789101112pH above 7 (X)0.650.750.890.941.121.161.291.351.481.561.731.80Units of BCI (Y)16.018.915.621.123.624.926.129.219.330.733.729.4Find the coefficient of determination between pH and BCI (round to the nearest hundredth; place your answer in the box below)

We have given that, The data set are, X:- 0.65, 0.75, 0.89, 0.94, 1.12, 1.16, 1.29, 1.35, 1.48,…

Answered: A group of researchers studied the…

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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Systolic coefficients of variation are 14.2% and the Diastolic is 17% The coefficients of variation for each data set are: a. more than 5 percentage points apart b. within 5 percentage points of each other Therefore, the systolic measurements vary a. about the same as b. significantly more than c. significantly less than the diastolic measurements.
Periodically, the county Water Department tests the drinking water of homeowners for contaminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below. lead (g/L) 2.9 0.2 5.1 4.2 5.5 1.2 0.133 0.774 0.214 0.671 0.444 0.234 0.357 0.761 0.176 0.888 (a) Construct a 99% confidence interval for the mean lead level in water specimans of the subdevelopment. OSMOSO copper (mg/L) 0.3 1.3 4.9 1.7 (b) Construct a 99% confidence interval for the mean copper level in water specimans of the subdevelopment. OSHSO
An article reported the following frequencies with which ethnic characters appeared in recorded commercials that aired on Philadelphia television stations. Ethnicity: Frequency: African American USE SALT Calculate th x² = | OHP₁ P₂P, P = 0.250 H₁: at least one p, = 0.25 Asian In a recent census, the proportions for these four ethnic groups are 0.177, 0.042, 0.734, and 0.047, respectively. Does the data suggest that the proportions in commercials are different from the census proportions? Carry out a test of appropriate hypotheses using a significance level of 0.01. (Let P P₂P and p be the population proportions of the four ethnic groups (African American, Asian, Caucasian, and Hispanic respectively) appearing in commercials on Philadelphia television stations.) State the appropriate hypotheses. O H₂: P₁ = 0.047, P₂ -0.011, p = 0.330, p = 0.005 H: at least one p, P Caucasian Hispanic 330 OH: P₁ = 0.120, P, = 0.028, p = 0.840, p = 0.013 H: at least one p, * P OH₂: P₁ = 0.177, P₂ = 0.042,…
As a researcher, you are interested if there is a significant difference in immunizations in those in low socioeconomic status and those in high socioeconomic status. To evaluate this you use the data below to calculate a Chi-Square (X2). Socioeconomic Status Socioeconomic Status Total High Low Immunized 1000 500 1500 Not Immunized 250 750 1000 Total 1250 1250 2500
Background: Henry Cavendish carried out a series of experiments in 1798 to determine the mean density of the earth, as an indirect means to calculate the gravitational constant. A measurement of 5.5 indicates the earth's density is 5.5 times that of water. 1.Perform the significance test. A.H0: μ=5.513Ha: μ>5.513 B.H0: μ=5.513Ha: μ<5.513 C.H0: μ=5.513Ha: μ≠5.513 D. H0: μ≠5.513Ha: μ=5.513 2.Compute the test statistic. Round your answer to 4 decimal places. 3.Compute the p-value. Round your answer to 4 decimal places.
For the following description of data, identify the W's (who and what was measured and when, where, why, and how it was measured), name the variables, specify fe each variable whether its use indicates it should be treated as categorical or quantitative, and for any quantitative variable identify the units in which it was measured (or note that they were not provided). Business analysts hoping to provide information helpful to grape growers compiled these data about vineyards: size (acres), number of years in existence, state, varieties of grapes grown, average yearly sales, gross sales, and percent profit. Who was measured? O A. The grapes B. The vineyards C. The grape growers D. This information is not given. What was measured? Select all that apply. A. Percent profit O B. Average yearly sales C. Varieties of grape grown D. State O E. Gross sales O F. Size AI..mha afunann in ovintenes Thin infnrmatian in not ahnn
Question 29 Classify the data that can be gathered using the level of measurement Force O Interval Data O Nominal Data Ratio Data O Ordinal Sata
Emissions of sulfur dioxide by industry set off chemical changes in the atmosphere that result in "acid rain". The acidity of liquids is measured by pH on a scale of 00 to 14.14. Distilled water has pH 7.0,7.0, and lower pH values indicate acidity. Normal rain is somewhat acidic, so acid rain is sometimes defined as rainfall with a pH below 5.0.5.0. The pH of rain at one location varies among rainy days according to a Normal distribution with mean 5.435.43 and standard deviation 0.54.deviation 0.54. What proportion of rainy days have rainfall with pH below 5.0?5.0?
Consider the data on climate change below: Variable Intercept CO2 Coefficient SE(Coeff) 0.1584 0.0004 T-ratio -20.1 22.1 P-value |-3.17933 <0.0001 <0.0001 0.00992 s=0.0885 with 58-2=56 degree of freedom. R squared = 89.7%. The response variable is temperature. %3D Then CO2 level for this data is 352.6ppm. a) Find a 90% confidence interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. b) Fina a 90% prediction interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. c) The goal of the Paris climate agreement is to a temperature anomaly of about 1.3degC in our data. If CO2 level do reach 450ppm, would this be a plausible value?
Q1. A study was conducted to investigate the relationship between premature birth and mental development at 12 months. The infant's birth weight was used as an index of prematurity. At age 12 months, the child's mental development was recorded. The results are shown below (the weights are in pounds): Birth 4 6 7 8 Weight(x) Developmental 85 Quotients(y) 88 87 94 96 Summary: n = 5, £x=30, £x² = 190, Ey= 450, Ey² = 40590, Exy = 2728 . a. Find the least square prediction equation, y on x. b. Obtain a 95% confidence interval for the average value of y when x 6.5 (i.e., a C.I. for E(y|x= 6.5)). c. Obtain the coefficient of correlation (r) and interpret the result. d. Test the hypothesis that H, :p= 0 vs. H, : p0. Use a =0.05.
High levels of cockpit noise in an aircraft can damage the hearing of pilots who are exposed to this hazard for many hours. Cockpit noise in a jet aircraft is mostly due to airflow at hundreds of miles per hour. This 3 x 3 contingency table shows 61 observations of data collected by an airline pilot using a handheld sound meter in a certain aircraft cockpit. Noise level is defined as "low" (under 88 decibels), "medium" (88 to 91 decibels), or "high" (92 decibels or more). There are three flight phases (climb, cruise, descent). Noise Level Low (L) Medium (M) High (H) Column Total Cockpit Noise i P(B) ii P(L) iii P(H|C) iv P(HID) v P(L and B) vi P(L and C) Climb (B) 7 17 6 30 Flight Phase Cruise Descent (C) (D) 6 7 3 3 2 11 10 20 Click here for the Excel Data File (a) Calculate the following probabilities: (Round your answers to 4 decimal places.) 0.4918 Row Total 20 23 18 61
Listed below are pulse rates (beats per minute) from samples of adult males and females. Does there appear to be adifference? Find the coefficient of variation for each of the two samples; then compare the variation. A. The coefficient of variation for the male pulse rates iS (Type an integer or decimal rounded to one decimal place as needed.) B. The coefficient of variation for the female pulse rates is (Type an integer or decimal rounded to one decimal place as needed.)

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