Which statement is the best as a general rule for interpreting the level of significance of a statistical test?*a. If p < .10, it is statistically significantb. If p > .10, it is marginally significantc. If p < .01, it is non-significantd. If p < .05, it is significant

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.

A result is called “statistically significant” whenever ans. The p-value is larger than the significance level. The null hypothesis is true. The alternative hypothesis is true. The p-value is less or equal to the significance level.

Perform an A/B testWhich of the following statements is true?You can reject the null hypothesis while testing at a 20% significance level but not at 10%.You can reject the null hypothesis while testing at a 10% significance level but not at 5%.✕ IncorrectFeedback:You can reject the null hypothesis if the ‘p-value < significance level’.You can reject the null hypothesis while testing at a 5% significance level but not at 1%.You can reject the null hypothesis while testing at a 1% significance level.

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.

Suppose we are conducting a hypothesis test with the following hypotheses:H0: p = 0.7H1: p > 0.7Furthermore suppose we get a p-value of 0.07 while using = 0.05, which of the following is the correct decision?a.At the 5% level of significance, there is significant evidence to reject H1 and retain H0.  b.At the 5% level of significance, there is significant evidence to retain H0c.At the 5% level of significance, there is significant evidence to reject H0 in favour of H1.  d.At the 5% level of significance, there is not significant evidence to reject H0.