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:
to know the average of the data set
Step-by-step explantion:
i dont know :)
Answer:
Bro Man thats OP
Step-by-step explanation:
Answer:
the probability that a sample of 4 bags will have a mean weight less than 9.8 pounds is 0.05
Step-by-step explanation:
Given the data in the question;
μ_x = 10 pound bags
standard deviation s_x = 0.24 pounds
sample size n = 4
The bag weights are normally distributed so;
p( x' less than 9.8 ) will be;
p( (x'-μ_x' / s_x') < (9.8-μ_x' / s_x') )
we know that;
μ_x' = μ_x = 10
and s_x' = s_x/√n = 0.24/√4
so; we substitute
p( z < ( (9.8 - 10) / (0.24/√4) )
p( z < -0.2 / 0.12 )
p( z < -1.67 )
{ From z-table }
⇒ p( z < -1.67 ) = 0.0475 ≈ 0.05
Therefore, the probability that a sample of 4 bags will have a mean weight less than 9.8 pounds is 0.05
1-7
3-21
5-35
7-49
Hope this helps!
