Answer: the correct answer is D. Novelty/predictability.
Explanation:
Relational dialectics is an interpersonal communication theory about close personal bonds and relationships that highlights the issues, struggles and interplay between contrary tendencies. This theory, proposed respectively by Leslie Baxter and Barbara Montgomery in 1988, defines communication frameworks between relationship partners as the result of never ending dialectical tensions. The dialect is, in this case, novelty/predictability since Shelly has taken a novel action and Lincoln is predictable in the sense that he is schedule-oriented.
Answer:
Magnitude of Consequences
Explanation:
According to my research on studies conducted by various behaviorists, I can say that based on the information provided within the question Deborah feels the Magnitude of Consequences is too great. This is formally defined as the total harm or benefit derived from an ethical decision. Which is what Deborah is weighing when thinking about this potential decision to cheat.
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Answer:
parol evidence
Explanation:
Based on the scenario being described it can be said that the admission of Brogan's testimony is most likely governed by the parol evidence rule. This rule created to prevent a party from introducing evidence before the agreement was made final in order to change the existing contract. Which is what Brogan is doing in this scenario by trying to release evidence about his age before the finalization of the contract.
The reason that urbinization is happening so fast is because of there tourism and all there sports teams and things like that
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.
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