Religious education is important because it equips students with cultural, social, moral and spiritual knowledge that aids in mental and physical development within society. The lessons learned in religious education prepare students for responsibilities, experiences and opportunities later in life.
The relationship between the level of religiosity and the level of education has been studied since the second half of the 20th century.
The parameters of the two components are diverse: the "level of religiosity" remains a concept which is difficult to differentiate scientifically, while the "level of education" is easier to compile, such as official data on this topic, because data on education is publicly accessible in many countries.
Different studies lead to contrasting conclusions regarding the relationship, depending on whether "religiosity" is measured by religious practices (attendance at places of worship, for example) or specific religious beliefs (belief in miracles, for example), with notable differences between nations. For example, one international study states that in some Western nations the intensity of beliefs decreases with education, but attendance and religious practice increases.[1] Other studies indicate that the religious have higher education than the non-religious.[2] Other studies find that the positive correlation with low or non religiosity and education has been reversed in the past few decades.[3][4]
In terms of university professors, one study concluded that in the US, the majority of professors, even at "elite" universities, were religious.[5]
Explanation:
No, 3 hours equals 180 minutes are out of this confidence interval.
<h3>What is confidence interval?</h3>
A confidence interval (CI) is a range of estimates for an unknown parameter in frequentist statistics. The 95% confidence level is the most popular, however other levels, such 90% or 99%, are occasionally used when computing confidence intervals. The percentage of related CIs over the long run that include the parameter's actual value is represented by the confidence level. For instance, 95% of all intervals calculated at the 95% confidence level should include the parameter's actual value. The degree of confidence, the size of the sample, and the sample's variability are all factors that might impact the breadth of the CI.
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Answer:
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