<h3>
d.Classroom instruction is more effective than online instruction for teaching declarative knowledge.</h3>
Explanation:
Though online instruction have been proved as a reliable source of learning, there are some learning processes which may have better results if taught in the classrooms.
One such case is imparting declarative knowledge. Declarative Knowledge is essentially descriptive and conceptual information which describes a certain topic in a detailed manner.
It requires a lot of time and effort to impart declarative knowledge. Therefore, classroom instruction proves more effective than online instruction while imparting declarative knowledge.
The statement that Surface-level diversity refers to differences such as age, gender, race/ethnicity, and physical disabilities that are observable, typically unchangeable, and easy to measure is a True statement.
Diversity refers to the state of a region where people from different cultures, social background, religion live together and do not share their differences, instead they live with peace by learning each others culture and religion. Surface level diversity is a type of diversity in which the parameters of diversity such as age, race, physical disabilities are easily observable. The situations arising due to these differences at different places of work make a person feel very uncomfortable and they feel as if they are not from this world.
They start doubting their worth and their self-confidence falls down. These types of activities are l\known as surface level activities. These activities should be prevented as the basic idea of Diversity is that the people coming from different backgrounds are not treated different, instead they are treated with respect.
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Complete Question:
Surface-level diversity refers to differences such as age, gender, race/ethnicity, and physical disabilities that are observable, typically unchangeable, and easy to measure.
True
False
I think it is corn. That's only one of them. The others might be like fine silk
In the confidence interval method the sample data must come from a population that is normally distributed with no outliers.
A confidence interval is a range of values derived from observable data at a desired level of confidence that may include the parameter's true value. The confidence level, such as a 95% confidence level, refers to the accuracy of the estimating process rather than the degree of assurance that the computed confidence interval accurately represents the true value of the parameter under investigation. Confidence intervals are typically written as (some value) ± (a range). The range can be expressed as a percentage or as a real amount. The equation used to determine the confidence interval varies depending on which standard deviation is known.
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