why significance of the study is important?

Answer 1

Education is like any tool being used. If it's the wrong one for the job then why use it. It helps you to learn the proper tools for use in everyday life. Using the tools for the betterment of humanity is a wise decision. Using it Against human kind is not.

Answer 2

I think you meaned to "a statitical significant", didn't you?

"In statistics, a result is called significant if it is unlikely to have occurred by chance. "A statistically significant difference" simply means there is statistical evidence that there is a difference; it does not mean the difference is necessarily large, important or significant in the usual sense of the word.

In traditional frequentist statistical hypothesis testing, the significance level of a test is the maximum probability, assuming the null hypothesis, that the statistic would be observed. Hence, the significance level is the probability that the null hypothesis will be rejected in error when it is true (a decision known as a Type I error, or "false positive"). The significance of a result is also called its p-value; the smaller the p-value, the more significant the result is said to be.

Significance is usually represented by the Greek symbol, α (alpha). Popular levels of significance are 5%, 1% and 0.1%. If a test of significance gives a p-value lower than the α-level, the null hypothesis is rejected. Such results are informally referred to as 'statistically significant'. For example, if someone argues that "there's only one chance in a thousand this could have happened by coincidence," they are implying a 0.1% level of statistical significance. The lower the significance level, the stronger the evidence.

Different α-levels have different advantages and disadvantages. A very small α-level (say 1%) is less likely to be more extreme than the critical value and so is more significant than high α-level values (say 5%). However, smaller α-levels run greater risks of failing to reject a false null hypothesis (a Type II error), and so have less statistical power. The selection of an α-level inevitably involves a compromise between significance and power, and consequently between the Type I error and the Type II error."

So, it is quite important of the study (mostly in a quantitative research design) because it is related by your "hypothesis assumming" . Normally in our quanitative research design, we can not work for "all big number of population" in our study. We mostly use a small good sampling which can refer to population (after using statistical test). So, if you have (1) a good study design, (2) good instrument of measurement that fit with your study topic, (3) know how to select a good sampling, and (4) have enough information from literature review before making any hypothesis assuming. Then your study should be significant! If it is not, you have to recheck your study processes and find out "why?"

Answer 3

" The root of education is bitter, but the fruit is sweet"

1. human resource that empowers community and the nation
2. Make human to be a real human : distinguish human and animal
3. Education can help people to get rid of trick and obstacles in society.
4. Education is like the compass that guide educator to have good employment for life and passion.
5. Education is the tool that develop the world to be more modern and modern...the stimulus of modernization and technological development.
6. Education help empower ppl form the inside out: understand what is right and what is wrong. Improve human and intellectuality.
7. Education can bring a small world to the big one: it helps humans to be integrated : faciliate the globalization
8. Help ppl communicate academically
9. Education give people more opportunities
10. It builds human understand their values, Education give Human his or her identity.
11. Education helps people comprehend education's benefits..

Hey dude..I cannot write more...because Education is ambiguous....

Good luck