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It served as a strategic point for the battle for France. The American soldiers stopped the Germen aggression at this point. Germany retreated at Chateau-Thierry during World War 1.
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What is social significance?
Social significance refers to the importance or impact of a concept, event, or action on society as a whole. It examines the broader implications and consequences of these factors on individuals, groups, and communities. Understanding the social significance of various phenomena helps us analyze their influence on people's lives and societal structures.
Why null hypothesis it is tested at 0.05 level of significance?
A significance level of 0.05 is commonly used in hypothesis testing as it provides a balance between Type I and Type II errors. Setting the significance level at 0.05 means that there is a 5% chance of rejecting the null hypothesis when it is actually true. This level is widely accepted in many fields as a standard threshold for determining statistical significance.
What is sociological significance?
The sociological significance of a topic refers to its importance and impact on society as a whole. It helps sociologists understand how individuals interact within social structures and institutions, and how these interactions shape broader patterns and trends in society. By analyzing the sociological significance of a topic, researchers can gain insights into various social issues, inequalities, and dynamics that influence human behavior and relationships.
Confidence level and significance level?
The confidence level is the probability that the true value of a parameter lies within the confidence interval. It is typically set at 95% in statistical analysis. The significance level is the probability of making a Type I error, which is mistakenly rejecting a true null hypothesis. It is commonly set at 0.05.
What are the major differences between practical significance and statistical significance?
Practical significance refers to the real-world importance or impact of a research finding, while statistical significance indicates the likelihood that a relationship between variables is not due to chance. A result can be statistically significant but not practically meaningful, or vice versa. Researchers should consider both types of significance when interpreting study results.
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