Assume you have an SAR of 0.206 for sample 1; 0.271 for sample 2; and 0.606 for sample 3, what does this indicate?
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Assume you have an SAR of 0.206 for sample 1; 0.271 for sample 2; and 0.606 for sample 3, what does this indicate?
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- What are the x and y values that you have input in the excel? I thought the x would be from the concentation and the y is from the A595 of sample minus A595 of blank but the linear equation that shows up in mine is different. It's y = 0.0443x + 0.0148.What is the HVL of tissue for 1.25 MeV gamma-rays. How many half-layers of tissue are in the human forearm (assume an average thickness of 10 cm of tissue). What is the reduction in intensity as a 1.25 MeV gamma-ray passes through 10 cm of tissue? Assume the density of tissue is 1 g/cm2.Perform the calculations and determine the absolute and percent relative uncertainty. Express each answer with the correct number of significant figures. To avoid rounding errors, do not round your answers until the very end of your calculations. 7.8 (±0.3) – 2.03 (±0.02) = absolute uncertainty: percent relative uncertainty: 8.24 (+0.04) × 0.012 (+0.001) = absolute uncertainty: percent relative uncertainty: G Search or type URL % & ) 6 8 9 P R F H K M
- By what factor is sample A2 more concentrated than sample A1?How would you calculate the expected values from the observed in order to use the chi-squared test?1) You compare the height and weight of 5 adult women. You get the following results:height 60 67 62 70 66weight 119 143 131 155 136(a) Construct a scatter plot of height (x) vs. weight (y)(b) Calculate the following (show your work for SScp):SSx SSy SScp ̄x ̄y(c) Calculate the correlation coefficient (r)2) Use the information from problem 1. Perform a complete test of the hypothesis that the populationcorrelation coefficient (ρ) is 0. Show all steps (note - obviously this should be a one sided test! Make sure youknow why!).3) Now let's assume you wanted to predict weights from heights. In other words, now let's use the same datafrom problem (1) and do a regression instead.(a) Calculate b0 and b1.(b) Carefully draw your least square regression line on the plot you made in 1(a). (Don't just “sketch”,be a little careful).4) (a) Now do a significance test of H0: β1 = 0. Show all your calculations (including your residualcalculations). Again, note that this should be a one sided test…
- The relationship between weight (in kilograms) and gender was estimated as below in a linear format. (Male was coded as 0 and Female was coded as 1.) Weight = -10.23 * Female + 66.73 (The p-value for the coefficient of Female is 0.03.) Base on the above equation, which of the following statements are true? (Select all that apply. There can be more than one answer.) Answer options: In the sample used to estimate the equation, the average weight of females is 66.23 kilograms In the sample used to estimate the equation, the average weight of females is 56.5 kilograms In the sample used to estimate the equation, the average weight of males is 66.73 kilograms Females are expected to weigh 10.23 kilograms less than malesCan you please give me a little more detail on finding Ki? Where did the values come from? 0.23, 0.15, etcWhat value of [S], as a fraction of KM, is required to obtain 80% of Vmax? (Hint: use the MM equation, and algebra.) Express your answer as the fraction/multiple of KM needed, for example, if your answer is 2.75 times KM, then enter "2.75" or if your answer is 1/2 times KM, then enter "1/2" or "5" Don't include "x" or "times" just the number.
