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N76 [4]
3 years ago
12

Write the standard form of the quadratic equation modeled by the points shown in the table below.

Mathematics
2 answers:
rjkz [21]3 years ago
5 0

Answer:

y = 2x² - 5x + 7

Step-by-step explanation:

General form of a quadratic is:

y = Ax² + Bx + C

Using the given points, construct equations and solve for A,B and C.

When x = 0, y = 7

7 = A(0)² + B(0) + C

C = 7

y = Ax² + Bx + 7

When x = -1, y = 14

14 = A(-1)² + B(-1) + 7

A - B = 7

A = 7 + B

When x = 1, y = 4

4 = A(1)² + B(1) + 7

A + B = -3

(7 + B) + B = -3

2B = -10

B = -5

A = 7 + (-5)

A = 2

y = 2x² - 5x + 7

sattari [20]3 years ago
4 0

General form of a quadratic is:

y = Ax² + Bx + C

  • Using the given points, construct equations and solve for A,B and C.

  1. When x = 0, y = 7

7 = A(0)² + B(0) + C

C = 7

y = Ax² + Bx + 7

When x = -1, y = 14

14 = A(-1)² + B(-1) + 7

A - B = 7

A = 7 + B

When x = 1, y = 4

4 = A(1)² + B(1) + 7

A + B = -3

(7 + B) + B = -3

2B = -10

B = -5

A = 7 + (-5)

A = 2

y = 2x² - 5x + 7

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For the hypotheses below test alpha = 0.025 with n = 100 and bar p = 0.67. State
I am Lyosha [343]

Answer:

Part a : Critical value

For this case we want a value of \alpha = 0.025 we need to find on the normal standard distribution a z score that accumulates 0.025 of th area on the left and this value is z_{crit}= -1.96

Part b: Calculate the statistic  

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

z=\frac{0.67 -0.76}{\sqrt{\frac{0.76(1-0.76)}{100}}}=-2.107  

Part c: Statistical decision  

n \hat p= 100*0.67= 67 >5

n (1-\hat p)= 100*(1-0.67)= 33 >5

So then the normal approximation makes sense.

Since the calculated value is lower than the critical value we have enough evidence to reject the null hypothesis at the significance level provided and we can conclude that the true proportion is lower than 0.76

Step-by-step explanation:

Data given and notation

n=100 represent the random sample taken

\hat p=0.67 estimated proportion of interest

p_o=0.76 is the value that we want to test

\alpha=0.025 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 is less than 0.76:  

Null hypothesis:p\geq 0.76  

Alternative hypothesis:p < 0.76  

When we conduct a proportion test we need to use the z statistic, 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.

Part a : Critical value

For this case we want a value of \alpha = 0.025 we need to find on the normal standard distribution a z score that accumulates 0.025 of th area on the left and this value is z_{crit}= -1.96

Part b: Calculate the statistic  

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

z=\frac{0.67 -0.76}{\sqrt{\frac{0.76(1-0.76)}{100}}}=-2.107  

Part c: Statistical decision  

n \hat p= 100*0.67= 67 >5

n (1-\hat p)= 100*(1-0.67)= 33 >5

So then the normal approximation makes sense.

Since the calculated value is lower than the critical value we have enough evidence to reject the null hypothesis at the significance level provided and we can conclude that the true proportion is lower than 0.76

6 0
4 years ago
Ravi purchased n notebooks. They were 5 dollars each. Write an equation to represent the total cost c that Ravi paid
Veseljchak [2.6K]
c = 5n

the cost (c) would equal (=) the number or notebooks (n) times $5 (5) because each is five dollars.


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