<span>b. a cell takes in DNA from outside the cell.</span>
This is what I found on the internet: Ethanol The alcohol which is produced<span> as a result of fermentation of sugars by </span>yeast<span>. fermentation A term for respiration in the absence of oxygen. </span>glucose<span> A simple sugar made by the body from food, which is used by </span>cells<span> to make energy in respiration. lactic acid A toxic chemical </span>produced<span> during anaerobic respiration.</span>
Answer:
Disruptive selection
Explanation:
Disruptive selection favors both of the extremes ( large and small beaks) Thank me later:)
The intermediate color or rather condition, in this case "roan", is a result of two alleles being codominant. Codominance occurs when the phenotype (or the physical expression of the gene) of a heterozygote individual expresses both the alleles in a pair of genes. In the given situation, both parents are homozygotes.
Answer:
X is the concentration of the substance being measured and Y is the response from the instrument that is being used to measure
Explanation:
A calibration curve is the plot of known concentration of substances where x is the increasing known concentration and Y is the response, typically "absorption" taken from the instrument that is used for measuring. This curve is then used to find out the concentration of the unknown substance by using it's absorbance and comparing it with the calibration curve. For example:
Concentrations and absorbance readings are as follows
0.5mg/mL=10 nm
1.0mg/mL=15nm
1.5mg/mL=20nm
2.0mg/mL=25nm
This data is plotted on a calibration curve. Next we measure the unknown substance the absorption is 20nm. We can suggest that the concentration is 1.5 mg/mL. If there are readings that fall inbetwen values then the formulat to calculate the right concentration would be y = mx + b, where m is the slope and b is the y-intercept.
Linear regression uses the modification of the slope formula y= a + bx to best see how the data of the water samples would fit on the slope of the calibration curve. X is the independent variable , b is the slope of the line and a is the y-intercept.
Extrapolation would be the action of calculating data that are outside the calibration curve, assuming the trend would continue.
