Answer:
TRUE
Explanation:
The Coase theorem states that when transaction cost are low, two parties will be able to bargain and reach an efficient outcome in the presence of an externality.
The Coase Theorem also states that when conflicting property rights occur, bargaining between the parties involved will lead to an efficient outcome regardless of which party is ultimately awarded the property rights, as long as the transaction costs associated with bargaining are negligible. If trade in an externality is possible and there are no transaction costs, bargaining will lead to an efficient outcome regardless of the initial allocation of property rights.
Answer:
Catatonia schizophrenia
Explanation:
Catatonia schizophrenia is a psychological disorder. Catatonia includes symptoms such as Lack of communication and movement. This disorder includes the agitation and restlessness in the patient. It is a type of schizophrenia. There is another mental condition that also makes a person catatonic.
- There are many symptoms of a catatonic patient:
- These people do not respond to a person in the environment
- To speak very less
- It holds their body in a very unusual manner.
- Agitated, restless.
Thus here Twenty-year-old Fred lives in a home was suffering from Catatonia schizophrenia.
Answer: Higher productivity translated to higher standards of living, a greater demand for other goods, and increased capital investment. Improved technology increased farm output as well, dropping farm product prices and allowing workers to move into other industries.
Explanation:
Donald trumps birthday is on June 14, 1946.
In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
Learn more about type ii error here:
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