Step-by-step explanation:
This is the answer i guess thank me if its right
I NEED HELP AGAIN! YOU'LL GET BRAINLIEST IF YOU'RE RIGHT!
1 answer:
Answer:
Part A : It is horizontal shift to left by 3 units and vertical shift upward 4 units That is your rule for the 1st one
Problem Statement
The question asks us to write out the rule for the translation given in Question 1 and 2.
Part B: The translation for the second image is x shifts right by 1 unit and y shifts upwards by 8 units
Step-by-step explanation:
To solve the question, we need to simply consider just one vertex of the figures given. The figures doesn't change shape or size, that is why we can consider just one vertex.
- Considering vertex D with coordinate (-5, -3) and its image D' with coordinate (4, 5).
- To know the rule, we simply look at the transformation formula
where, M and N are the translation magnitude
Translation is a term used in geometry to describe a function that moves an object a certain distance. The object is not altered in any other way. It is not rotated, reflected or re-sized.
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Answer:
H 0 : μ = 3.1 H 1 : μ > 3.1
And this test is defined a a right tailed test since the symbol for the alternative hypothesis H1 is >.
The p value is:
The significance level is: 0.1 or 10%
And since the p value is very low compared to the significance level we have enough evidence to:
Reject the null hypothesis
Step-by-step explanation:
For this case we want to test the claim that mean GPA of night students is larger than 3.1 at the .10 significance level. The claim needs to be on the alternative hypothesis so then we have the following system of hypothesis:
H 0 : μ = 3.1 H 1 : μ > 3.1
And this test is defined a a right tailed test since the symbol for the alternative hypothesis H1 is >.
We have the following info given:
The statistic to check the hypothesis is given by:
Replacing the info given we got:
The degrees of freedom are given by:
The p value since is a right tailed ted is given by:
The significance level is 0.1 or 10%
And since the p value is very low compared to the significance level we have enough evidence to:
Reject the null hypothesis