A graduate student designs a research study. She hopes to show that the results of her experiment are statistically significant. What type of p-value indicates statistically significant results? A large p-value A small p-value The magnitude of a p-value has no impact on statistical significance.
Question
A graduate student designs a research study. She hopes to show that the results of her experiment are statistically significant. What type of p-value indicates statistically significant results? A large p-value A small p-value The magnitude of a p-value has no impact on statistical significance.
Solution 1
A small p-value indicates statistically significant results. In most cases, a p-value less than 0.05 is considered statistically significant. This means that there is less than a 5% probability that the results occurred by chance.
Solution 2
A small p-value indicates statistically significant results. In most research, a p-value of 0.05 or less is considered statistically significant. This means that there is a 5% or less probability that the results occurred by chance. Therefore, the smaller the p-value, the stronger the evidence that you should reject the null hypothesis.
Solution 3
A small p-value indicates statistically significant results. In most cases, a p-value less than 0.05 is considered statistically significant. This means that there is a less than 5% probability that the results occurred by chance. Therefore, the smaller the p-value, the stronger the evidence that you should reject the null hypothesis.
Solution 4
A small p-value indicates statistically significant results. In most cases, a p-value less than 0.05 is considered statistically significant. This means that there is less than a 5% probability that the results occurred by chance.
Similar Questions
A researcher wants to find out if there is a significant difference between men and women in the average number of tattoos that a person has. After doing the statistical analysis, the researcher finds that the p-value is 0.003. If the chosen significance level is 0.05 (5%), which of the following statements is the best interpretation of this p-value? The results are statistically significant. The results are not statistically significant. The magnitude of a p-value has no impact on statistical significance.
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A researcher conducts a study with a large sample size and finds a statistically significant result. However, the effect size is very small. What is the implication of this finding? A. The study has high statistical power B. The results are practically significant C. The findings may not have real-world importance D. The study has a Type II Error
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A result is called “statistically significant” whenever ans. The p-value is less or equal to the significance level. The null hypothesis is true. The p-value is larger than the significance level. The alternative hypothesis is true.
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