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:
(x+8) (x-8)
Step-by-step explanation:
Since, both terms are perfect squares, factor using the different square formulas. a^2-b^2=(a+b)(a-b) where a = x and b = 8...
⭐ Answered by Kakashi ʕ •㉨• ʔ⭐
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I got 29.2 (I also rounded it to the nearest tenth for u)
Answer:
0,-1 0,-7
Step-by-step explanation:
