Step 1: Understanding the Null Hypothesis. A Null Hypothesis () is a statement that there is no significant difference between two situations, groups, or outcomes. It assumes that any observed difference is due to chance or random variation.
Step 2: Importance in hypothesis testing.
- The null hypothesis is tested against an alternative hypothesis (), which proposes that there is a significant effect or difference
. - Statistical tests are used to determine whether to reject or fail to reject the null hypothesis.
Step 3: Explanation of incorrect options.
- (A) Hypothesis of association: Refers to relationships between variables, not the absence of difference.
- (C) Hypothesis of differences: Describes a hypothesis that assumes a difference exists, but it is not the same as the null hypothesis.
- (D) Alternative hypothesis: Opposes the null hypothesis by suggesting that a difference does exist.
(P) | Alexander Fleming | (1) | GPCR |
(Q) | Kobilka | (2) | β-blocker |
(R) | Banting | (3) | Penicillin |
(S) | Black | (4) | Insulin |
Antibody | Description |
---|---|
P. IgE | (i) Cross the placenta |
Q. IgG | (ii) Dominant antibody produced in immune responses |
R. IgM | (iii) It is found in the mother's milk |
S. IgA | (iv) Responsible for autoimmune responses including allergies |