<span>The forces that control the motion of everyday objects are: gravity,friction, applied forces
Gravity pushed every object down and prevent them from flying up into the sky. Friction provides forces to the opposite way of every movement. Applied forces determine the way objects are moving according to the intention of those who do it.</span>
Answer:
c. customer requirements to a product's overall technical requirements
Explanation:
The House of Quality is a part of a large process called QFD (Quality, Function, Deployment). This process, focuses on representing quality-monitoring, focusing on the function execution of a plan, and finally, reviews and follows the application of resources for deployment of the plan that has already been established. In other words, House of Quality, refers to a process for product development, in which it specializes in the customer desires for product or process development, and, it combines all the capabilities and resources of an organization to meet those desires.
Explanation:
teachers are in the most strategic position to facilitate a balanced personality development and a more adequate adjustment of the learner. ... The teacher's own adjustment not only contributes to better adjustment of pupils but is essential for his own efficiency and happiness.
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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