Blog

[Question N] You have a completely randomized design of four treatments for your grocery bag manufacturing.  You want to improve the tensile strength of the bags, and your engineers think the tensile strength can be a function of the hardwood concentration in the pulp.  Higher tensile strength is better. A team of engineers is investigating four levels of hardwood in the pulp, cleverly called Levels A, B, C, and D. You’ve run the ANOVA below in Excel on data taken from a fully randomized experiment.  The numbers refer to tensile strength. What is your analysis of the results?  In particular, does the treatment make a statistically significant difference, and if so, which treatment(s) are better or worse?  If you can, list them in order from best to worst.  If you can’t, tell me why you can’t.  Test at alpha = 0.05. Anova: Single Factor SUMMARY         Groups Count Sum Average Variance A 7 89 12.71 3.24 B 7 126 18.00 0.67 C 7 94 13.43 2.29 D 7 70 10.00 1.00 ANOVA             Source of Variation SS Df MS F P-value F crit Between Groups 231.8214286 3 77.27380952 42.98675497 8.30 E-10 3.00878657 Within Groups 43.14285714 24 1.797619048                     Total 274.9642857 27

This continues to use the Problem I water quality data you downloaded. What is the sampling standard deviation for the ranks?  In other words, what is σW?

Below is a screenshot of a multiple linear regression you colleague has run.  She is trying to predict the sale price of real estate, given a few factors: * the Lot Size, given in square units * Whether or not the house is in the water district or not (if not, they need their own well water) * How many minutes it is to drive downtown during rush hour * The schools rating (higher is better) She has run the following multiple linear regression output in Excel.  Write a brief essay evaluating how good this regression model is.  Use a 95% level of statistical significance (so alpha = 0.05.)  Make sure you address issues of statistical significance, outliers, and anything else.  You should answer the question:  is this model pretty good as it is, or if changes need to be made, what and why? Regression input: Problem B1 regression input.PNG Regression Output: Problem B2 regression output.png Problem B3 regression output.png Problem B4 regression output.png

What is considered a member of the primary lymphoid organs?

What molecule is formed by linking together monomers of the same type of macromolecule?

You have made observations about a problem in the natural world.  If you are using the scientific method, what is your next step?

Which term describes a body of interconnected concepts supported by much experimental evidence and scientific reasoning?

A 47-year-old female who is 155 cm (5 ft 2 iin) tall and weighs 70 kg (155 lb) is receiving PC A/C ventilation after abdominal surgery. Ventilator settings and blood gas analysis results are: FIO2 0.50   pH 7.50 Mandatory rate 14   PaCO2 30 mm Hg Total rate 14   PaO2 107 mm Hg Insp Press 24 cmH2O   HCO3- 22 mEq/L VT  560 mL   BE 0 mEq/L       SaO2 (calc) 98% A respiratory therapist should

If a patient’s 8 ml/Kg product a Vt of 480 ml  and has a VE of 8.0 L/min.  Where should you set the Vt and RR to achieve baseline VE if the patient is going to place on the ARDS.NET Protocol at 6 ml/Kg? 

A 171-cm (5-ft 7-in), 65-kg (142-lb) 43-year-old female is receiving PC, SIMVventilation. The following data are available: FIO2 0.40   pH 7.52 Mandatory rate 12   PaCO2 26 mm Hg Total rate 12   PaO2 110 mm Hg Set inspiratory pressure 18 cm H2O   HCO3 – 21 mEq/L Exhaled VT 680 mL   BE 0 mEq/L I:E 1:4   SaO2 (calc) 98% PEEP 10 cm H2O       A respiratory therapist should recommend decreasing the