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lutik1710 [3]
3 years ago
12

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Mathematics
1 answer:
ki77a [65]3 years ago
5 0

Answer:

.

Step-by-step explanation:

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Could someone help me with (Q 15?) Maybe a brainliest if you do step by step and get the correct answer. Thank you :D
Sphinxa [80]

Answer:

It is a reflection  across the y axis

Step-by-step explanation:

The reflection of point (x, y) across the x-axis is (x, -y).

The reflection of point (x, y) across the y-axis is (-x, y).

Since (-4, -2.4) becomes (4, -2.4)  The x values changes sign.  It is a reflection  across the y axis

4 0
2 years ago
Read 2 more answers
Can someone please help me!!
Elan Coil [88]

Answer:

13

Step-by-step explanation:

Firstly we would start off by simplifying the equation by doing the order of operations backward (PEMDAS -> SADMEP) and multiply -4 and -3 which would equal a positive 12

Next, we would divide 12 and -6 and get a negative 2

Finally, we would have the equation 1 - 12 + (-2)

We would solve the equation to get -13/(-1)³

This would make the -13 into a positive since any number over one is a whole number. -13 is getting divided by (-1) 3 times so it converts to a positive, then a negative, then back to a positive.

I hope this helped :3

6 0
3 years ago
What is 3248x9853 plezzzzzzzzzzz
DochEvi [55]

Answer: 32002544

Step-by-step explanation:

6 0
2 years ago
A random sample of n = 100 observations is selected from a population with mean 20 and standard deviation 15. What is the probab
hjlf

Answer:

25.14% probability of observing a mean greater than 21

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 normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, 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.

In this question, we have that:

\mu = 20, \sigma = 15, n = 100, s = \frac{15}{\sqrt{100}} = 1.5

What is the probability of observing a mean greater than 21?

This is 1 subtracted by the pvalue of Z when X = 21. So

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

By the Central Limit Theorem

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

Z = \frac{21 - 20}{1.5}

Z = 0.67

Z = 0.67 has a pvalue of 0.7486

1 - 0.7486 = 0.2514

25.14% probability of observing a mean greater than 21

6 0
3 years ago
How to work out this linear stimultaneous equations
Oduvanchick [21]

Step-by-step explanation:

  • extract the third equation from one of the given equation by making at most one variable with 1 as the coefficient the subject of the equation.
  • x = 2 - y...........(3)
  • now substitute the third equation to the other equation *Not the one you extracted the new equation from*
  • y = 2 ({2 - y})^{2}  + (2 -y ) - 2
  • After substituting simplify
  • y = 2(2 - y)(2 - y) + 2 - y - 2 \\ y = 2(4 - 2y - 2y +  {y}^{2} ) + 2 - y - 2 \\ y = 2(4 - 4y  +  {y}^{2} ) - y \\ y = 8 - 8y + 2 {y }^{2}  - y
  • Therfore group the terms in the form of a general Quadratic equation.
7 0
1 year ago
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