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irinina [24]
2 years ago
8

Can somebody help me ?

Mathematics
2 answers:
iris [78.8K]2 years ago
4 0

Answer:

6

Step-by-step explanation:

24/4 is 6

ycow [4]2 years ago
4 0

Answer:

6 US dollars

Step-by-step explanation:

I'm not mcsmart sorry

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There are 5 numbers, they are- 5,8,2,9,10
Crank

Answer:

Mean: 6.8

Median: 2

Mode: There is no mode of the data set

Step-by-step explanation:

Finding the mean: 5+8+2+9+10= 34 divided by the numbers of the data set which is 5= 6.8

Finding the median: The middle of the data set which is 2

Finding the mode: the most frequently occurring number which doesn't appear in this data set which means there is none.

8 0
3 years ago
I need help on all 3
a_sh-v [17]

Answer:

i think answer for 3 is,

3x+1=100

3x=99

x=33°

6y-16+5y-2=180

11y-18=180

11y=198

y=18°

8 0
3 years ago
Simplify the expression -84 divided by 14
Nataliya [291]

easy peasy.

-84/14= -6

feel free to add me as a friend I am very good at math and am willing to help.

6 0
3 years ago
HELP MEE! 100 POINTS AND BRAINLY! GIVE ME THE STEPS, AND A GOOD ANSWER OR I WILL DELETE YOUR ANSWER AND GET MY POINTS BACK!
Alexeev081 [22]

Answer:

Solve the equation for  

x   by finding   a ,  b , and  c  of the quadratic then applying the quadratic formula.

Exact Form:

x= 7 + 2 √ 5

Decimal Form:

x = 11.47213595 …

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
For a sample of eight​ bears, researchers measured the distances around the​ bears' chests and weighed the bears. Minitab was us
Karolina [17]

Answer:

Step-by-step explanation:

Given that for a sample of eight​ bears, researchers measured the distances around the​ bears' chests and weighed the bears.

r = linear correlation coeff = 0.952

H_0: r =0\\

H_1 :r\neq 0

(Two tailed test)

r difference = 0.952

n=8

Std error = \sqrt{\frac{1-r^2}{n-2} } =0.12496

Test statistic t = 0.952/0.12496 = 7.618

Alpha = 0.05

df = 6

p value = 0.000267

This implies H0 is rejected.

There exists a linear relation between the variables and r cannot be 0

0.952^2 = 0.906=90.6% of variation in weight can be explained by the linear relationship between weight and chest​ size

3 0
3 years ago
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