Answer:
The first bullet is theory
The second bullet is Law
Explanation:
A scientific law is an explanation of a tested hypothesis and a mathematical method.
I am not totally sure but I believe this is correct
Answer:
A) They have low-maintenance and are easy to keep track of for mutations.
B) The deduction can be "Single Gene Mutation"
Explanation:
After examining the example given in the question on Neurospora crassa and the details about how they reproduce, the following points can be made regarding the questions;
A) It is stated that they form a colony in time and that they are asexual spores and the first reason to choose them would be because they contain somatic cells (which refer to the cells other than reproductive cells) and non-motile gonidia which can multiply by dividing themselves and these properties make the colony's maintenance easy. And since they multiply by division, it is easier to keep track of the occuring mutations.
B) Given the information in the question that the mating is between an albino strain and a wild type, and then between two albino strains which have the same genotype. The results indicate that the strains have gone through single gene mutation during the process.
I hope this answer helps.
Answer:
C) genetic variation
Explanation:
The answer C is correct because genetic variation is the differences in DNA amongst species in a population. All these dog breeds have their distinct features because their DNA aren't all the same, like how some have big curly hair or short hair.
Have a lovely rest of your day/night, and good luck with your assignments! ♡
Answer:
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between variables. The correlation coefficient is usually represented by the letter r.
Explanation:
