Significant other means an individual living in a current spousal relationship with another individual but who is not legally a spouse of that individual.25

boyfriend

• beau.
• companion.
• friend.
• partner.
• suitor.
• sweetheart.
• intimate.
• steady.

An example of significant other is your live-in boyfriend of ten years. A person having importance in, or influence on, another’s life. A spouse or long-term sexual or romantic partner. A person with whom one has an intimate, often long-term and usually sexual, relationship.

Perhaps just start by picking one or two ideas and work on them with one person and see what happens.

• Keep in touch. Call/txt/email/write/meet more often.
• Create quality time.
• Remember birthdays & other dates.
• Listen more.
• Look for ways to help them or make their lives better.
• Try not to take them for granted.
• Open up.

Significant relationship is defined as a relationship that is romantic, sexual, dating, cohabitation or spending time with someone that is more than a friend.

The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.

1. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant.
2. A p-value higher than 0.05 (> 0.05) is not statistically significant and indicates strong evidence for the null hypothesis.

Comparing the computed p-value with the pre-chosen probabilities of 5% and 1% will help you decide whether the relationship between the two variables is significant or not. If, say, the p-values you obtained in your computation are 0.5, 0.4, or 0.06, you should accept the null hypothesis.29

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.

Determine your alpha level and look up the intersection of degrees of freedom and alpha in a statistics table. If the value is less than or equal to your calculated t-score, the result is statistically significant.25

Correlation between two variables indicates that changes in one variable are associated with changes in the other variable. However, correlation does not mean that the changes in one variable actually cause the changes in the other variable. Sometimes it is clear that there is a causal relationship.

The data used in calculating a chi-square statistic must be random, raw, mutually exclusive, drawn from independent variables, and drawn from a large enough sample. For example, the results of tossing a fair coin meet these criteria. Chi-square tests are often used in hypothesis testing.7

The P-value is the probability that a chi-square statistic having 2 degrees of freedom is more extreme than 19.58. We use the Chi-Square Distribution Calculator to find P(Χ2 > 19.58) = 0.0001. Interpret results. Since the P-value (0.0001) is less than the significance level (0.05), we cannot accept the null hypothesis.

Popular Answers (1) When the data is perfectly described by the resticted model, the probability to get data that is less well described is 1. For instance, if the sample means in two groups are identical, the p-values of a t-test is 1.

You could take your calculated chi-square value and compare it to a critical value from a chi-square table. If the chi-square value is more than the critical value, then there is a significant difference. You could also use a p-value. First state the null hypothesis and the alternate hypothesis.