Answer:
A. False
B. True
C. True
D.True
Step-by-step explanation:
A. False . The significance level or alpha is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. 0.01 alpha is better than 0.05 alpha . 0.01 indicate a 1% risk of rejecting the null hypothesis when it is true .
B. True . If the p-value is less than alpha, we reject the null hypothesis . Therefore statistically significant.
C . True . If the p-value is less than alpha, we reject the null hypothesis
D. True . Alpha will be greater than p-value . Therefore we will reject .
Answer:
hope this helps
Step-by-step explanation:
The average absolute deviation about any certain point of a data set is the average of the absolute deviations or the positive difference of the given data and that certain value. It is a summary statistic of statistical dispersion or variability.
Answer:
D
Step-by-step explanation:
Use the formula for the SA of a hemisphere.
Now we can find the radius of the hemisphere, which is 15.
Then, we can square that and multiply it by 2 to get 450.
Now, let's use the formula for the Volume of a hemisphere.
Now we can cube 15 and multiply it by 2 to get 6750.
Then we can divide this number by 3.
2250.
So the answer is D.
Answer:
(-4,4)
Step-by-step explanation:
Answer:
9x
Step-by-step explanation:
