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irina [24]
3 years ago
8

A relation is given in the table below write out the ordered pairs for the inverse and then determine if the inverse is a functi

on
x y
1 0
2 1
3 0
4 2
5 0

a) (1,0), (2,1), (3,0), (4,2), (5,0) inverse is not a function
b) (0,1), (1,2), (0,3), (2,4), (0,5) inverse is not a function
c) (0,1), (1,2), (2,4) inverse is a function
d) (0,1), (1,2), (0,3), (2,4), (0,5) inverse is a function
Mathematics
2 answers:
kompoz [17]3 years ago
7 0

Answer:

Option b is correct.

{(0,1), (1,2), (0,3), (2,4), (0,5)} inverse is not a function

Step-by-step explanation:

Inverse function states that the set of all ordered pairs obtained by interchanging the first and second elements of each ordered pair  in the original function.

As per the statement:

A relation is given in table:

x    y


1    0


2   1


3   0


4   2


5   0

We an write this as:

{(1,0), (2,1), (3,0), (4,2), (5,0)}

by definition of inverse function;

{(0,1), (1,2), (0,3), (2,4), (0,5)}

A function is a relation in which each input has a unique output value.

Since, this inverse is not a function because the input value of 0 does not have unique output.

<em>⇒</em>{(0,1), (1,2), (0,3), (2,4), (0,5)} inverse is not a function



postnew [5]3 years ago
4 0
B, the inverse is not a function, because to the x-value 0 the inverse relation orders two values: the 1 and the 5 as well.
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The germination rate is the rate at which plants begin to grow after the seed is planted.
chubhunter [2.5K]

Answer:

z=\frac{0.467 -0.9}{\sqrt{\frac{0.9(1-0.9)}{15}}}=-5.59  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of germinated seeds is significantly lower than 0.9 or 90%

Step-by-step explanation:

Data given and notation

n=15 represent the random sample taken

X=7 represent the number of seeds germinated

\hat p=\frac{7}{15}=0.467 estimated proportion of seeds germinated

p_o=0.9 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of germinated seeds is less than 0.9 or 90%.:  

Null hypothesis:p\geq 0.9  

Alternative hypothesis:p < 0.9  

When we conduct a proportion test we need to use the z statisitc, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.467 -0.9}{\sqrt{\frac{0.9(1-0.9)}{15}}}=-5.59  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level assumed is \alpha=0.05. The next step would be calculate the p value for this test.  

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

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of germinated seeds is significantly lower than 0.9 or 90%

4 0
3 years ago
EEEE
Mariulka [41]

Answer:

1. not a function

2. all states

3. all capital

4. Every domain element is paired with only one range element.

Step-by-step explanation:

5 0
3 years ago
Does 15/25 x 25/15 = 0?
sergejj [24]
No, it does not equal 0. Lets multiply it out and see what it actually equals.
15/25 * 25/15
15*25 / 25*15
375 / 375
Anything over itself is 1, so the final answer for the multiplication is 1.

4 0
3 years ago
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