Answer is option c)
P value is the minimum significance level at which null hypothesised value of H0 is rejected.
So if this value lies inside the Confidence interval , then H0 is not rejected,
Thus for 99% CI, significance level is 1%
So H0 is not rejected at 1%, bcoz 0 lies in the interval.
So H0 is rejected at 5% level.
So the rule says that, if
P value < significance level, then H0 is rejected.
So if H0 is not rejected at 1% & is rejected at 5% , then
.01< p value < .05
Please help, thanks MC 1) Assume that the 99% confidence interval for a regression slope parameter β2 is from -0.3 to 0.8, while the 95% confidence interval for is from 0.1 to 0.4. Suppose you ar...
Data Summaries Sample Mean Sample Std Dev Sample Size 79.998 11.588 1000 Hypothesis Testing Confidence Interval Creation Level of Confidence: 95% Alpha (a) Value: 0.05 MOE 0.719 9 - MOE: 79.279 9 + MOE: 80.717 Confidence Interval Question What is the confidence interval telling you about the population parameter? Use the formula: df = n-1 Use the formula: (9-4_0)/(s/sqrt(n)) Degrees of Freedom: Alpha (a) Value: Test Statistic Value: Is your test statistic a z value or at value? P-Value Method...