Yes, this makes Mexican workers more cost-effective than U.S. workers, keeping other things constant.
<u>Explanation:</u>
Minimum wage is the amount of money that an employee will get from his employer for working for an hour. This adds up to the total cost of the goods produced by the workers.
If the minimum wage of the workers in Mexico is less than the minimum wage received by the workers in the United States, it means that they are more cost effective and will lead to the production of the goods at a cheaper rate, keeping other things constant in the production process.
In ancient times<em> China</em> was isolated because of the mountains and rivers, they had the Himalayas and the Gobi, as good barriers. They believed that were alone in the world. Living in isolation made difficult to govern there, because of the large areas they had. This made people lived in different parts of China, create their own culture and costumes too, dialects, and way of speaking.
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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