Answer:
11. TRUE
12. TRUE
13. FALSE
14. TRUE
15. FALSE
16. TRUE
17. TRUE
18. TRUE
19. TRUE
20. FALSE
Explanation:
Animals can actually reproduce sexually and asexually. Animals that reproduce asexually do that through fission, fragmentation, budding, etc.
Some of the animals that reproduce asexually include planarians, sea stars, annelid worms, etc.
In the fertilization process, the male sperm cell and the female egg cell come together.
Sexual reproduction involve the fertilization of egg by the sperm. In asexual, there is no fertilization. Ferns are spore-bearing plants. They reproduce via spores but their spores are not actually blackish.
Answer:
Skin cell has 10 chromosomes.
Sperm cell has 5 chromosomes.
egg cells has 5 chromosomes.
Explanation:
If the fruit fly egg has 5 chromosomes, then the skin has 10 chromosomes because skin has diploid i. e. double number of chromosome. There is always haploid or half number of chromosome present in the sex cells such as sperm and egg cells of any organism. When the sperm and egg cells fuse together they formed the organism which is a diploid i. e. double number of chromosome.
The answer is a. because bacteria are prokaryotes and therefore don't have mitochondria
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.
I think C because scientific research can make them humans do
