Identify the domain of the function shown in the graph
2 answers:
ANSWER
The domain of the function is
EXPLANATION
The domain of the function shown in the graph refers to all real values of
for which y is defined.
In other words, the domain of the function shown in the graph refers to all real values offor which there is a corresponding 
value.
We can obtain y-values that corresponds to the x-values between -5 and 5 inclusive.
When we pick any x-values from -5 to 5, we can trace to the graph to obtain the corresponding y-values.
But if we pick any x-value outside -5 to 5, we cannot trace to the graph to obtain the corresponding y-values.
Therefore the domain of the function shown in the graph is
The correct answer is option D.
The domain of the function is
EXPLANATION
The domain of the function shown in the graph refers to all real values of
In other words, the domain of the function shown in the graph refers to all real values of
value.
We can obtain y-values that corresponds to the x-values between -5 and 5 inclusive.
When we pick any x-values from -5 to 5, we can trace to the graph to obtain the corresponding y-values.
But if we pick any x-value outside -5 to 5, we cannot trace to the graph to obtain the corresponding y-values.
Therefore the domain of the function shown in the graph is
The correct answer is option D.
You might be interested in
Answer:
(a) The p-value of the test statistic should be 0.33.
(b) No, there is not sufficient evidence to reject the entire shipment.
Step-by-step explanation:
We are given that for each shipment of parts a manufacturer wants to accept only those shipments with at most 10% defective parts.
A quality control manager randomly selects 50 of the parts from the shipment and finds that 6 parts are defective.
Let p = <u><em>proportion of defective parts among the current shipment.</em></u>
So, Null Hypothesis, : p
10% {means that the defective parts in the shipment is at most 10%}
Alternate Hypothesis, : p > 10% {means that the defective parts in the shipment is greater 10%}
The test statistics that would be used here <u>One-sample z proportion</u> <u>statistics</u>;
T.S. = ~ N(0,1)
where, = sample proportion of parts that are defective among the current shipment =
= 12%
n = sample of parts from the shipment = 50
So, <u><em>test statistics</em></u> =
= 0.44
The value of z test statistics is 0.44.
(a) <u>Now, P-value of the test statistics is given by the following formula;</u>
P-value = P(Z > 0.44) = 1 - P(Z 0.44)
= 1 - 0.67003 = 0.3299 ≈ 0.33
(b) Since, the P-value of test statistics is more than the level of significance as 0.33 > 0.05, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u>we fail to reject our null hypothesis</u>.
Therefore, we conclude that the defective parts in the shipment is at most 10%.