The differential outcomes in the above is known to be the positive influence based on accuracy that took place in discrimination learning between the functions if unique rewards are said to be paired with each specific variable.
<h3>What is differential outcomes?</h3>
The differential outcome effect (DOE) is known to be a term that connote the increase in regards to the speed of getting and also of terminal accuracy that takes place in conditional discrimination learning if two or more stimuli are said to be correlated with a specific outcome.
Note that The differential outcomes in the above is known to be the positive influence based on accuracy that took place in discrimination learning between the functions if unique rewards are said to be paired with each specific variable.
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Despite popular belief, the U.S. Constitution does not provide for the popular election of the American president. It provides for popular election of presidential electors. Each candidate who qualifies for a given state's ballot must designate certain individuals who will serve as his or her electors if that candidate wins the popular vote in that state.
When each state certifies a winner of its overall popular vote, that winner is entitled to send all his or her electors to that state's Capitol, where they will officially record their votes for their candidate. All the electors in all the states do it on the same day, the first Monday after the second Wednesday of December. This year it is Dec. 19, which is the latest it can be, just as this year's Election Day is the latest it can be.
Answer:
1. It reduces the probability of sampling bias.
2. A random sample will be more representative of the whole population.
3. Allows the researcher to determine the efficacy of the fertilizer.
Explanation:
Selecting a simple random simple from a large population is a widely used method in science. Researchers select a random sample so every individual, in this case seedling, has an equal chance to be selected.
Therefore, it is an accurate method that, although is not free from errors, avoids or reduces the probability of sampling bias. Selecting a truly random tomato seedling will be more representative of the whole population of seedling instead of selecting carefully a seedling that already has specific or desired characteristics. Hence, this random sampling will allow the researcher to determine the efficacy of the fertilizer.
Answer:
Get him to the vet right now
Explanation: that's poison to dogs.
