Answer:
2-[1, 2]
Step-by-step explanation:
From the graph, we can conclude the following things:
1. The graph is of degree 4 as it intersects the x axis at 4 points.
2. The graph tends to infinity for increasing the value of 'x' along positive or negative x-axis.
3. The graph has 3 turning points between the intervals [-1, 0], [1, 2] and [2, 3]
4. Local maximum: The top of mountain of the graph represents local maximum. So, during the interval [1, 2], there is a local maximum.
5. Local minimum: The lowest point or the valley of the graph represents local minimum.
So, during the intervals [-1, 0] and [2, 3], there are local minimums.
Thus, there is only one local maximum during the interval [1, 2].
Answer:
F
Step-by-step explanation:
So lets use the process of elimantion to find the answer.
Firs off, we can tell that this is a greater/less than or equal to inequlaity, since there is a inclosed circle, not a open one. So this leaves the top left answer and bottem right answer.
Now, we can see that the graph is from 0-15. X is at 7.
This means its x+8, because the x would be smaller, or possibly even negatibe on this graph.
My theory that can better support my annwer is if we solve for x:
x+8=15
We can subtract 8 from both sides:
x=7
And as we can see on the inequality, x is at 7 in the graph.
Hope this makes sense and helps!
1. Triangular prism
2. Sphere i think
That is, log x = k if and only if 10 k = x.
Answer:
Yes, we can conclude that the population standard deviation of TV watching times for teenagers is less than 2.66
Step-by-step explanation:
H0 : σ² = 2.66²
H1 : σ² < 2.66²
X²c = (n - 1)*s² ÷ σ²
sample size, n = 40
Sample standard deviation, s = 1.9
X²c = ((40 - 1) * 1.9²) ÷ 2.66²
X²c = 140.79 ÷ 7.0756
X²c = 19.897
Using a confidence level of 95%
Degree of freedom, df = n - 1 ; df = 40 - 1 = 39
The critical value using the chi distribution table is 25.6954
Comparing the test statistic with the critical value :
19.897 < 25.6954
Test statistic < Critical value ; Reject the Null
Hence, we can conclude that the population standard deviation of TV watching times for teenagers is less than 2.66
