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jeyben [28]
3 years ago
12

Dan is completing a 60-kilometer run. The diagram below shows what

Mathematics
2 answers:
kirill115 [55]3 years ago
7 0

Answer:

36 km

Step-by-step explanation:

60% of 60km

60/100

.6*60=36

36 km

Tresset [83]3 years ago
3 0

Answer:

The answer is 36km im taking that tes right now

Step-by-step explanation:

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What quadrants is the points (2,-3)?
zheka24 [161]

Answer:

Quadrant 4

there are four quantdrants, A is on the fourth one

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3 years ago
What is the length of ac <br> help pls
Lelu [443]

Answer:

x=2

Step-by-step explanation:

This is an isosceles triangle you can tell by the two congruent/equal angles

angle A is congruent/equal to angle C by definition the two sides will be equal.

x-4=3x-8

1. get all you x's on one side. by subtracting x from both sides you don't have to deal with dividing by negatives later on.

x-x-4=3x-x-8

-4=2x-8

now you want to get x by itself so add 8 to both sides

4= 2x

x is still not by itself so divide both sides by 2

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3 years ago
Screen shot is below Evaluate Functions From a Graph please help! thanks!
IrinaK [193]
As determined by the graph, f(-9) = 9
6 0
3 years ago
Read 2 more answers
Suzanna uses a 1/4 cup measuring scoop to make her coffee. If she needs to fill her coffee filter with 2 cuos of coffe grounds,h
lilavasa [31]

Answer:

8

Step-by-step explanation:

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6 0
3 years ago
A person purchased a slot machine and tested it by playing it 1,137 times. There are 10 different categories of outcomes, includ
ivann1987 [24]

Answer:

p_v= P(\chi^2_{9}>11.517)=0.2419

And on this case if we see the significance level given \alpha=0.1 we see that p_v>alpha so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.

Step-by-step explanation:

A chi-square goodness of fit test determines if a sample data obtained fit to a specified population.

p_v represent the p value for the test

O= obserbed values

E= expected values

The system of hypothesis for this case are:

Null hypothesis: O_i = E_i[/tex[Alternative hypothesis: [tex]O_i \neq E_i

The statistic to check the hypothesis is given by:

\chi^2 =\sum_{i=1}^n \frac{(O_i -E_i)^2}{E_i}

On this case after calculate the statistic they got: \chi^2 = 11.517

And in order to calculate the p value we need to find first the degrees of freedom given by:

df=n-1=10-1=9, where k represent the number of levels (on this cas we have 10 categories)

And in order to calculate the p value we need to calculate the following probability:

p_v= P(\chi^2_{9}>11.517)=0.2419

And on this case if we see the significance level given \alpha=0.1 we see that p_v>alpha so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.

6 0
4 years ago
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