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Anvisha [2.4K]
3 years ago
11

?????????????????????

Mathematics
1 answer:
mrs_skeptik [129]3 years ago
3 0

Answer:

0 and 4

Step-by-step explanation:

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What is the answer to this problem?
Luba_88 [7]

Answer:

B

Step-by-step explanation:

You can knock out A, because this isn't talking about temperature, and C and D are proven untrue by the data. The only one left is B, which if you check, is also consistant with the data.

3 0
3 years ago
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Solve x2 - 13x + 30 = 0
Svetllana [295]

Answer:

or, x2-(2-15)x +30= 0

or, x2-2x-15x + 30= 0

or,x(x-2)-15(x-2)=0

or, (x-2) (x-15)=0

either, or,

x-2=0 x-15=0

6 0
3 years ago
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In standard form: (x+5)(3x-1)-(x-4)^2
denpristay [2]
I hope this helps you



x.3x+x.(-1)+5.3x+5.(-1)-(x^2-2.4.x+16)


3x^2-x+15x-5-x^2+8x-16


2x^2+22x-21
6 0
3 years ago
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When we test Upper H 0​: muequals0 against Upper H Subscript a​: mugreater than​0, we get a​ P-value of 0.03. a. What would the
Anastasy [175]

Answer:

(a) The null hypothesis will be rejected.

(b) Type I error

(c) The null hypothesis will not be rejected. The error is type II error.

Step-by-step explanation:

The hypothesis provided is:

H_{0}: \mu = 0\\ H_{a} : \mu > 0

The p-value of the test obtained is 0.03

(a)

Decision rule for hypothesis testing, based on p-value, states that if the p-value is less than the significance level (α) then the null hypothesis is rejected and vice versa.

The significance level is α = 0.10

Then,

p-value = 0.03 < \alpha  = 0.10

Thus, the null hypothesis will be rejected.

Conclusion:

The null hypothesis is rejected stating that the value of μ is more than 0.

(b)

If the decision in​ (a) is an​ error, i.e. the null hypothesis is rejected when in fact it is true, this type of error is known as type I error.

(c)

The significance level is α = 0.01

Then,

p-value = 0.03 > \alpha  = 0.01

Thus, the null hypothesis will not be rejected.

Conclusion:

The null hypothesis was not rejected stating that the value of μ is 0.

If this decision is an error, i.e. the null hypothesis was not rejected when in fact it is false, this type of error is known as type II error.

3 0
3 years ago
ms olivieri’s class plays a game in teams each team has the same number of students the ratio of teams to players is 8:32 how ma
Bezzdna [24]

Answer:

32 students

Step-by-step explanation:

8 teams

32 students

7 0
3 years ago
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