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zhuklara [117]
3 years ago
11

Triangle DEF is congruent to D'EF' by the SSS theorem. Which single rigid transformation is required to map DEF onto D'EF'?

Mathematics
2 answers:
trasher [3.6K]3 years ago
5 0

Answer:

<u><em>C. ROTATION</em></u>

Step-by-step explanation:

I JUST TOOK THE TEST!!!!

lions [1.4K]3 years ago
3 0
The answer is rotation
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Complete the table below for the function y = 5x - 2.
inn [45]
Well I’ll just make my own table
Key/legend: when y = 0 x = -2
X=|-3 |-2 | -1| 0|1 |2|3 |4 |5 |
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6 0
3 years ago
Please help me with question b) and please explain!!<br>look at the attached image
natta225 [31]

Answer:

17

Step-by-step explanation:

let x be the number of boxes to be shaded to make it 80%

x = 80% of total number

= 80/100 of 25

= 80/4

= 20

So 20 need to be shaded to fill 80%

Now, 13 of the grids are already shared so the amount of more squares that need to be shaded = 20-13

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4 0
3 years ago
Read 2 more answers
A population of 805 cheetahs decreases by 10% per year. How many cheetahs will there be in the population after 6 years?
Phantasy [73]

Answer:

Step-by-step explanation:

y = a(b)^x

a would represent the initial value.

b would represent the change

x represents the number of years

y = 805(0.9)^6

y = 805(0.531441)

y = 427.8

y =  427 cheetahs

4 0
3 years ago
The average yield of the standard variety off soybeans per acre on a farm in a region is 48.8 bushels per acre, with a standard
I am Lyosha [343]

Answer:

z=\frac{53.4-48.8}{\frac{12}{\sqrt{36}}}=2.3  

p_v =P(Z>2.3)=1-P(Z  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 48.8 at 1% of signficance.  

Step-by-step explanation:

1) Data given and notation  

\bar X=53.4 represent the sample mean

\sigma=12 represent the population standard deviation assumed

n=36 sample size  

\mu_o =48.8 represent the value that we want to test  

\alpha=0.01 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

2) State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the true mean is higher than 48.8, the system of hypothesis would be:  

Null hypothesis:\mu \leq 48  

Alternative hypothesis:\mu > 48  

Since we assume that know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

3) Calculate the statistic  

We can replace in formula (1) the info given like this:  

z=\frac{53.4-48.8}{\frac{12}{\sqrt{36}}}=2.3  

4)P-value  

Since is a right tailed test the p value would be:  

p_v =P(Z>2.3)=1-P(Z  

5) Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, so we can conclude that the true mean is not significantly higher than 48.8 at 1% of signficance.  

3 0
3 years ago
40 POINTS !! 40 POINTS !!<br><br> PLEASE HELP , DONT SKIP !<br><br> NO LINKS OR FILES.
gizmo_the_mogwai [7]

Answer:

2 potatoes

Step-by-step explanation:

10 ×1/5 =2×1=2

Step-by-step explanation:

3 0
3 years ago
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