A significant amount or effect is large enough to be important or affect a situation to a noticeable degree.

In the dating world, a significant other refers to a partner, girlfriend, boyfriend, spouse, or someone with whom you share an intimate, romantic relationship.

He won a significant amount of money. There is a significant difference in prices between the two stores. The study found a statistically significant decrease in symptoms in patients who had taken the drug. a significant event in the history of our nation Fish is a significant part of their diet.

The significance of a study must be stated in the Introduction section of your research paper. While stating the significance, you must highlight how your research will be beneficial to the development of science and the society in general.

Overall, the meaning of 1111 is to pay attention to your thoughts. Most importantly, remember that you always have the Creator and your divine team of angels and spirit guides with you. So when you need their help to change unpleasant thoughts to more positive ones, all you have to do is ask.

In the title of the essay by the same name, James gives this answer to the question “What Makes a Life Significant:” “The solid meaning of life is always the same eternal thing—the marriage, namely, of some unhabitual ideal, however special, with some fidelity, courage, and endurance; with some man’s or woman’s pains.

Significance means having the quality of being “significant” — meaningful, important. It also refers to the meaning of something. A certain date might have significance because it’s your birthday or the anniversary of Princess Di’s wedding.

28 Cards in this Set

Use the adjective significant to describe something that is important. Your “significant other” means the person who’s most important in your life. A significant result in a scientific study is a result large enough to matter.

To determine whether the observed difference is statistically significant, we look at two outputs of our statistical test: P-value: The primary output of statistical tests is the p-value (probability value). It indicates the probability of observing the difference if no difference exists.

Start by looking at the left side of your degrees of freedom and find your variance. Then, go upward to see the p-values. Compare the p-value to the significance level or rather, the alpha. Remember that a p-value less than 0.05 is considered statistically significant.

If the computed t-score equals or exceeds the value of t indicated in the table, then the researcher can conclude that there is a statistically significant probability that the relationship between the two variables exists and is not due to chance, and reject the null hypothesis.

The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct (and the results are random).

The first way to find the p-value is to use the z-table. In the z-table, the left column will show values to the tenths place, while the top row will show values to the hundredths place. If we have a z-score of -1.304, we need to round this to the hundredths place, or -1.30.

A z-test is a statistical test to determine whether two population means are different when the variances are known and the sample size is large. It can be used to test hypotheses in which the z-test follows a normal distribution. Also, t-tests assume the standard deviation is unknown, while z-tests assume it is known.