Step 1: Understanding the Null Hypothesis. A Null Hypothesis (\(H_0\)) 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 (\(H_1\)), 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.
The process of establishing a product in the minds of target customer is called as
| (P) | Alexander Fleming | (1) | GPCR |
| (Q) | Kobilka | (2) | β-blocker |
| (R) | Banting | (3) | Penicillin |
| (S) | Black | (4) | Insulin |
List I | List II | ||
|---|---|---|---|
| A | \(\Omega^{-1}\) | I | Specific conductance |
| B | \(∧\) | II | Electrical conductance |
| C | k | III | Specific resistance |
| D | \(\rho\) | IV | Equivalent conductance |
List I | List II | ||
|---|---|---|---|
| A | Constant heat (q = 0) | I | Isothermal |
| B | Reversible process at constant temperature (dT = 0) | II | Isometric |
| C | Constant volume (dV = 0) | III | Adiabatic |
| D | Constant pressure (dP = 0) | IV | Isobar |