A difference great enough to polarize the controls of a hypothesis
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A significant difference refers to a statistically meaningful distinction between two or more groups or variables. It implies that the difference observed is unlikely to have occurred by chance and is likely to have practical relevance. Statistical tests are used to determine if a difference is significant.
In statistics, a significant difference is typically determined through hypothesis testing. This involves comparing the observed data with what would be expected by chance alone. If the difference between the observed data and what is expected by chance is large enough, it is considered statistically significant. This is typically determined by calculating a p-value, with a lower p-value indicating a higher level of statistical significance.
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On average, there is no significant difference in life expectancy between left-handed and right-handed people. Other factors such as genetics, lifestyle choices, and access to healthcare play a more significant role in determining lifespan.
In egalitarian societies, there is a more equal distribution of power, resources, and status among members, without significant hierarchies. On the other hand, ranked societies have clear hierarchies and social classes, with some individuals or groups holding more power, wealth, and prestige than others.
There is no significant difference in the prevalence of vitiligo between men and women. Both genders are equally affected by this skin condition, which results in patches of skin losing their pigment. It can occur at any age and affects people of all genders fairly equally.