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kobusy [5.1K]
3 years ago
12

Someone plz help me

Mathematics
2 answers:
Juli2301 [7.4K]3 years ago
7 0

Answer:

-27

Step-by-step explanation:

divide -81 by 3 and you will get -27.

Travka [436]3 years ago
4 0

Answer:

-27 i believe

Step-by-step explanation:

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likoan [24]

Answer:

C.

Step-by-step explanation:

https://tex.z-dn.net/?f=24x%5E%7B5%7Dy%5E%7B4%7D%5Csqrt%7B7x%5E%7B2%7Dy%7D

this is correct

3 0
3 years ago
Point X (2,-2), k= 1/2<br> HELP ASAP
Sedaia [141]
Don’t click on the link it’s a scam .
5 0
3 years ago
PLEASE HELP!!!!!!!!
Andre45 [30]
1)B
2)B

1) K < or equal to -5 so smaller than -5 with closed circle
2)K < or equal to 1 so less than 1 with closed circle
7 0
2 years ago
g The average midterm score of students in a certain course is 70 points. From the past experience it is known that the midterm
spayn [35]

Answer:

0.98 = 98% probability that the average midterm score of these students is at most 75 points.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

The average midterm score of students in a certain course is 70 points.

This means that \mu = 70

29 students are randomly selected and the standard deviation of their scores is found to be 13.15 points.

This means that \sigma = 13.15, n = 29, s = \frac{13.15}{\sqrt{29}} = 2.44

Find the probability that the average midterm score of these students is at most 75 points.

This is the pvalue of Z when X = 75. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{75 - 70}{2.44}

Z = 2.05

Z = 2.05 has a pvalue of 0.98.

0.98 = 98% probability that the average midterm score of these students is at most 75 points.

8 0
3 years ago
Please help me..........<br><br>only 32,and 33​
kupik [55]

Answer:

Step-by-step explanation:

32

Step 1 : Draw PQ = 6cm

Step 2 : Construct 60 degree at Q. [Given PQR = 60=> Q = 60 ]

Step 3 : Take 5 cm on compass and mark 5cm on the 60 degree

            line constructed at Q.

Step 4 : The arc of 5cm and 60 degree line  meets is the point R.

             [Given QR = 5cm ]

Step 5 : Given PQ || SR so construct a 120° at R ,

             because ∠PQR and ∠QRS are supplementary angle.

            [ ∠PQR + ∠QRS = 60 + 120 = 180° ]

Step 6 : At P , take 6.5 cm on compass and mark on the line drawn in

             Step 5, to get S. [ Given PS = 6.5 ]

           

33

Given adjacent sides : 4.8 and 4.2

And it is a rectangle.

Step 1 : construct AB = 4.8 cm

Step 2 :At A and B construct 90 degree

Step 3: On the compass take 4.2cm and mark on the 90degree lines

          from A and B.

Step 4 : Mark that as C and D respectively.

Step 5 : Join CD

8 0
3 years ago
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