2. A new device was designed to measure the glycemic index in blood for diagnostic purposes ofpatients with diabetes. The first rounds of testing were performed on healthy volunteer subjects.Device 2 was compared with the measurements from the reference instrument(Device 1), the data obtained is synthesized in the table below. Perform the appropriate analysis forvalidate the measurements delivered by the new device.Dispositivo 1 Dispositivo 2[mg/dl][mg/d]Sujeto 1Sujeto 2Sujeto 310110291100102109Sujeto 46786Sujeto 5Sujeto 6Sujeto 7Sujeto 8Sujeto 9Sujeto 10Sujeto 11Sujeto 12Sujeto 138795991029110085931101139110087969199102120Sujeto 14Sujeto 15Sujeto 16Sujeto 17Sujeto 18Sujeto 19Sujeto 20Sujeto 21Sujeto 22919986908899100116891009498799492112100116

Given information: Device 1 Device 2 1 101 102 2 91 100 3 102 109 4 67 86 5 87 95…

Answered: 2. A new device was designed to measure…

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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Laetisaric acid is a compound that holds promise for control of fungus diseases in crop plants. The accompanying data show the results of growing the fungus Pythium (y) in various concentrations of laetisaric acid (x). Laetisaric acid concentration (uG/mL) Fungus growth (mm) 0. 33.3 31.0 29.8 27.8 6. 28.0 6. 29.0 10 25.5 10 23.8 20 18.3 20 15.5 30 11.7 30 10.0 Mean 11.500 23.642 Standard deviation 10.884 7.8471 T =-0.98754 %3D a. State the linear regression equation, and with a 0.01 level of significance, predict the amount (in mm) of fungus growth when 25 uG/mL laetisaric acid is applied. Assume the pairs of data follow a bivariate normal distribution and that the scatterplot shows no evidence of a non-linear relationship in the data. b. Determine the percentage of the variation in fungus growth that is explained by the linear relationship between laetisaric acid concentration and fungus growth. Attack Eil
Chlorophylls a and b are plant pigments that absorb sunlight and transfer the energy into photosynthesis of carbohydrates from CO2 and H2O, releasing O2 in the process. Chlorophylls were extracted from chopped up grass and measured by spectrophotometry. The table shows results for chlorophyll a for four separate analysis of five blades of grass. Chlorophyll a (g/L) Blade 1 Blade 2 Blade 3 Blade 4 Blade 5 1.09 1.26 1.1 1.23 0.85 0.86 0.96 1.21 1.3 0.65 0.93 0.8 1.27 0.97 0.86 0.99 0.73 1.12 0.97 1.03 Four replicate measurements for each blade of grass tell us the precision of the analytical procedure (sanalysis). Differences between mean values for each of the five blades of grass are a measure of variation due to sampling (ssampling). Using Excel and it’s ANOVA function, find the standard deviations attributable to sampling and to analysis, as well as the overall standard deviation arising from both sources.
10 veterans who suffer from PTSD are tested before and after taking an anti-anxiety medication thought to reduce PTSD symptoms. How do I report my findings in APA format? Before condition (M=52, SD= 13.4, SE=4.228) After condition (M=43, SD=13.4, SE=4.243) t(9)=1.581, p >0.05, d=0.500.
first picture is the background information
new procedure for the rapid determination of sulfur in kerosene was tested on a sample known for its method of preparation to contain 0.123% S (µo = 0.123% S). the result for % S were 0.112, 0.118, 0.115 and 0.119. T critical = 5.84. determine what data says about procedure
A taxi business owner is determining the type of tires for his cars for efficiency the fuel can be increased. Twelve cars were tested using type A tires and asked to travel on a certain route. The same car and driver, then do the same route and the same road conditions with type B tires. Fuel consumption (km/liter) is then recorded as (enclosed). Note: • Use the last digit of your ID (2602296545) in place of a value; • If the last digit is 0 then it is changed to 1; Example: ID 1234567890 → 1 Can we conclude that a car with type A tires has material consumption fuel better than a car with type B tires? Assumed population normally distributed and α=5%. a. Define a hypothesis statement for the case. b. Perform statistical test calculations. c. Give a conclusion from the results of these calculations.
A worker with a weight of 65 kg and a body surface area of 1.74 , performs physical work activities in several work environments as shown in the following table. The work activities of these workers require energy and a measured metabolic rate of 400 W/m2. During their work activities, the worker wears a coverall made of polyolefin and wears a headgear (1) Calculate the average WBGT of the work environment. (2) Perform an analysis related to the heat stress experienced by the worker, if the worker performs his work activities for 75% of his total working time and the rest is rest, (note: use TLV from ACGIH and ISO 7243)

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