Answer:
H0 : μd = 0
H1 : μd ≠ 0
Test statistic = 0.6687 ;
Pvalue = 0.7482 ;
Fail to reject H0.
Step-by-step explanation:
H0 : μd = 0
H1 : μd ≠ 0
Given the data:
Before: 15 26 66 115 62 64
After: 16 24 42 80 78 73
Difference = -1 2 24 35 -18 -9
Mean difference, d ; Σd / n
d = Σx / n = ((-1) + 2 + 24 + 35 + (-18) + (-9))
d = Σx / n = 33 / 6 = 5.5
Test statistic = (d / std / sqrt(n))
std = sample standard deviation = 20.146
Test statistic = 5.5 ÷ (20.146/sqrt(6))
Test statistic = 0.6687
The Pvalue :
P(Z < 0.6687) = 0.7482
At α = 0.05
Pvalue > α ; Hence we fail to reject H0
The data does not suggest a significant mean difference in the average number of accidents after information was added to road signs.
Gia already used 1/4. 3/4 divided by 5 = 3/20
-np-4≤2(c-3)
-np-4≤2x-6
-np≤2x-2
-n≤(2x-2)/p
n≥-((2x-2)/p)
Keywords:
<em>Variables, televisions, generic version, TV brand, dimensions
</em>
For this case we have two televisions, one generic version and one brand. We know that the generic version represents 
the size of the brand. We must define two variables that represent the dimensions of the brand TV, so we have:
Dimensions of the generic TV:
So:
By clearing the variables we have:
Thus, the dimensions of the brand TV are 18 inches by 36 inches
Answer:
The dimensions of the brand TV are 18 inches by 36 inches
Answer: 90
Step-by-step explanation:
