Answer:a complex of vesicles and folded membranes within the cytoplasm of most eukaryotic cells, involved in secretion and intracellular transpor
Explanation:
Answer:
See the answer below
Explanation:
1. <u>Only one phenotype</u> is present in the F1 generation offspring. Since tallness was dominant over shortness, all the offspring in the F1 generation appeared tall.
2. <u>Two phenotypes </u>are present in the F2 generation - 9 tall and 3 short. The short trait reappeared at the F2 generation.
3. The genotype of the F1 offspring would be heterozygous. Assuming the purebred tall is AA and the purebred short is aa:
AA x aa
Aa Aa Aa Aa
All the F1 offspring will appear tall and their genotypes would be heterozygous.
4. Assuming that the allele for height is denoted with A (a), <u>the genotype of the purebred tall plant would be AA. </u>
5. In a similia vein, <u>the genotype of the purebred short plant would be aa. </u>
Answer: the expression of certain genes is affected by temperature
Explanation:
For organisms to survive changing environmental conditions, a lot of molecular processes occur in the genes.
For the arctic fox, enzymes coded by specific genes are periodically "switched on or off" depending on the temperature.
Thus, the change in colour can be EXPLAINED by the expression of certain genes affected by temperature
Answer:
The correct answer is B. A client who has increasing serum ammonia levels due to liver cirrhosis
Explanation:
Etiology is the study of origin or cause of any disease. Pathogenesis is the mechanism of causing disease by any pathogen. Pathogens use four-step to become pathogenic which are contact, colonization, invasion, and infection.
In pathogenesis the symptoms of disease is observed not the cause so in option B increasing serum ammonia level is the symptom of liver cirrhosis which characterize pathogenesis rather than etiology and in other option, only cause of a medical condition is described so the correct answer is B.
Answer:
The t-test
Explanation:
<em>The researcher should use a t-test to compare the two means and check if they are significantly different from each other.</em>
In using the t-test, both null (H0) and alternate (H1) hypothesis are made such that:
Thereafter, the value of t is calculated and compared to its critical value on the table. The formula for calculating the t goes thus:
where, Y1 = mean of population 1, Y2 = mean of population 2, S1 = variance of population 1, S2 = variance of population 2, n1 = number of individuals in population 1 and s2 = number of individuals in population 2.
<em>At the end of the day, if the calculated t value is more than the critical value of t, the H0 is rejected and it shows that the two means are significantly different. Otherwise, the H0 is accepted and this shows that there is not significant difference between the mean of population 1 and that of 2.</em>