Answer: (2,8), because the graph of the two equations intersects at this point.
Step-by-step explanation: Got u. it's right 1000%
Answer:
Standard Error is increased.
Step-by-step explanation:
Type 2 error is failure to reject a false null hypothesis. This is a 'false negative' result of hypothesis testing, represented by beta 'β'.
Power of test is 1 - β, which shows probability of accurately stating a null hypothesis false, when it is actually false.
Increased sample size increases the power of test accuracy, hence reduces type 2 error. Increased level of significance implies higher probability of rejecting a true null hypothesis, ie type 1 (false positive) error. So, it decreases type 2 error.
Standard Error increase implies lower level of t statistic , ie = (x - u) / (s / √ n) Lower the t value, higher is the probability of not rejecting null hypothesis, which implies higher chance of type 2 error.
Answer:
x = -3, -5.
Step-by-step explanation:
(2x + 8)/6 = 1/3(x + 4)
Cross multiply:
(2x + 8)(x + 4) = 6 * 1/3
(2x + 8)(x + 4) = 2
2x^2 + 16x + 32 - 2 = 0
2x^2 + 16x + 30 = 0
x^2 + 8x + 15 = 0
(x + 3)(x + 5) = 0
x = -3, -5.
start at 2 and go up 1 and over 1/2