Answer:
Trade Gains Summary.
Which of the following statements is false?
a. The gains from trade can be broken down into the gains from specialisation in production and the gains from international exchange.
b. Gains from international exchange can result even without specialisation in production.
c. Gains from specialisation in production can result even without international exchange taking place.
d. The total gains from trade are can never be equal to the gains generated from exchange in the international markets.
The false statement is d. The total gains from trade can be equal to the gains generated from exchange in the international markets.
Step-by-step explanation:
a. This statement is true. The gains from trade can be broken down into the gains from specialisation in production and the gains from international exchange.
b. This statement is also true. Even without specialisation in production, countries can still gain from international exchange through trade in goods and services that they do not produce efficiently or at all.
c. This statement is also true. Even without international exchange, a country can gain from specialisation in production by focusing on producing the goods and services that it can produce most efficiently.
d. This statement is false. The gains from trade can be equal to the gains generated from exchange in the international markets if the terms of trade are favourable for both parties. For example, if both parties benefit equally from the exchange, then the total gains from trade will be equal to the gains generated from exchange in the international markets.
Answer
The null hypothesis in ANOVA states that:
a. All of the population means are different from each other.
b. There are no differences between any of the population means
c. At least one of the population means is different from the others.
d. AIl of the sample means are different from each other.
The null hypothesis in ANOVA states that:
c. At least one of the population means is different from the others.
Step-by-step explanation:
ANOVA (Analysis of Variance) is a statistical method used to compare the means of two or more groups. The null hypothesis in ANOVA states that there are no significant differences between the means of the groups being compared. Therefore, if we reject the null hypothesis, it means that there is at least one group whose mean is significantly different from the others.
Option (a) is incorrect because if all of the population means are different from each other, it would not make sense to perform an ANOVA test.
Option (b) is incorrect because it assumes that all of the population means are the same, which is opposite to the null hypothesis in ANOVA.
Option (d) is incorrect because it refers to sample means, not population means, and the null hypothesis is always about the population means.