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ryzh [129]
3 years ago
5

Please help me find this.​

Mathematics
2 answers:
aksik [14]3 years ago
7 0
What do you mean by square I have this same question
VMariaS [17]3 years ago
4 0

Answer:

Square I think

Step-by-step explanation:

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Need help with mean , median , mode question<br> + a few more..
Andreas93 [3]

Answer:

Mean:

a) 4

b) 2

c) 2

d) 2

Median:

a) 4,2

b) 5,2

c) 5,1

d) 4,1

Mode:

a) 1

b) 1

c) 1

d) 1

Step-by-step explanation:

Mean:

a) 1+4+2+1 = 8/4=4

b)1+5+2+1 = 9/4= 2.25 (round to the nearest whole number = 2)

c) 1+5+1+0 = 7/4 = 1.75 (round to the nearest whole number = 2)

d) 1+4+1+0 = 6/4 = 1.5 (round to the nearest whole number = 2)

3 0
3 years ago
Same-side interior angles always add
AleksAgata [21]

THEOREM:

<u>Same Side Interior Angles Theorem</u>:– If two parallel lines are cut by a transversal, then the same side interior angles are supplementary.

ANSWER:

By same side interior angles theorem,

∠4 + 123° = 180°

∠4 = 180° - 123°

∠4 = 57°.

8 0
3 years ago
I need help, this will help me graduate tomorrow:)
pshichka [43]

Answer: ITS C

Step-by-step explanation:

5 0
3 years ago
What is 5 minus 16 tenths
antoniya [11.8K]
The answer would be 3.4

Hope that helped : )
5 0
4 years ago
Read 2 more answers
why is normal distribution important in statistics and in everyday life? give examples to underscore your points.
Ymorist [56]

Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics.

The most significant probability distribution in statistics for independent, random variables is the normal distribution, sometimes referred to as the Gaussian distribution. In statistical reports, its well-known bell-shaped curve is generally recognized.

The majority of the observations are centered around the middle peak of the normal distribution, which is a continuous probability distribution that is symmetrical around its mean. The probabilities for values that are farther from the mean taper off equally in both directions. Extreme values in the distribution's two tails are likewise rare. Not all symmetrical distributions are normal, even though the normal distribution is symmetrical. The Student's t, Cauchy, and logistic distributions, for instance, are all symmetric.

The normal distribution defines how a variable's values are distributed, just like any probability distribution does. Because it accurately depicts the distribution of values for many natural occurrences, it is the most significant probability distribution in statistics. Normal distributions are widely used to describe characteristics that are the sum of numerous distinct processes. For instance, the normal distribution is observed for heights, blood pressure, measurement error, and IQ scores.

Learn more about probability distribution here:

brainly.com/question/28021875

#SPJ9

7 0
1 year ago
Read 2 more answers
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