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trasher [3.6K]
3 years ago
5

I need help im failing

Mathematics
1 answer:
aleksley [76]3 years ago
3 0

Answer:

D because 0.75 in fraction form is 3/4 and 3/4 is greater then 2/3 which is the graphs rate of change.

Step-by-step explanation:

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What is the equation of the line which
natka813 [3]

Answer:

The equation of the line is y = (-1/2)x + 5

Step-by-step explanation:

m =  \frac{y2 - y1}{x2 - x1 }

First of all, have to find gradient using the formula above :

(2,4) & (14,-2)

m = (-2-4) / (14-2)

= -6 / 12

= -1/2

Second, using y = mx + b as b is a constant and is a y-intercept. Using any of these 2 coordinates to find the value of b with given gradient :

y = mx + b

Let y=4 & x=2

4 = (-1/2)(2) + b

b = 4 + 1

= 5

Lastly, put the value of gradient and y-intercept into the equation :

y = mx + b

Let m=-1/2 & b=5

y = (-1/2)x + 5

5 0
3 years ago
True or false<br><br> the third term of (y+4)^8 is 448y^6
Tema [17]
That is true, I don,t quite know how to explain it but I just did this problem yesterday.
6 0
3 years ago
30% of ____games is 32 games
Mandarinka [93]
You can say : 30/100% = 32/? ⇒ 32*100 /30 = 106.6 games :))
i hope this is helpful 
have a nice day 
5 0
3 years ago
Read 2 more answers
NEED HELP FAST!!!!!
slava [35]
5p-4p-8=-2+3

Combine like terms
p-8= 1

Add 8 to both sides to isolate p
p=9

Final answer: 1 solution only, p=9
8 0
3 years ago
Read 2 more answers
Which of the following statements is true in a one-way ANOVA? a. The critical value of the test will be a value obtained from th
Musya8 [376]

Answer:

d) All of the above

Step-by-step explanation:

A one way analysis of variance (ANOVA) test, is used to test whether there's a significant difference in the mean of 2 or more population or datasets (minimum of 3 in most cases).

In a one way ANOVA the critical value of the test will be a value obtained from the F-distribution.

In a one way ANOVA, if the null hypothesis is rejected, it may still be possible that two or more of the population means are equal.

This one way test is an omnibus test, it only let us know 2 or more group means are statistically different without being specific. Since we mah have 3 or more groups, using post hoc analysis to check, it may still be possible it may still be possible that two or more of the population means are equal.

The degrees of freedom associated with the sum of squares for treatments is equal to one less than the number of populations.

Let's say we are comparing the means of k population. The degree of freedom would be = k - 1

The correct option here is (d).

All of the above

3 0
4 years ago
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