Answer:
Laura's comparison between <u>their level of contribution in the relationship is very high and seems like she is not gaining in the relationship.</u>
Explanation:
In every relationship, like it is always said, can only work if there is a mutual benefits which the two people engaged in it gained from each other. This has been an established pathway and tends to encourage a long lasting relationship.
<em>For Laura to feel that she s not gaining anything from the relationship (as a result of Maisie not being there for her in her moment of lowliness and rough day) when compared to her help which she renders to Maisie shows that her comparison is very high in such situation. This would definitely put a strain on the frienship between both of them.</em>
Explanation:
I would say it would be false
<span>Answer:
The lack of jurisdiction of home country governments over supplier behavior is exemplified by car-telling and black-market.</span>
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:
brainly.com/question/16012410
#SPJ4
