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bazaltina [42]
2 years ago
8

Solve the inequality

Mathematics
1 answer:
Sergeu [11.5K]2 years ago
5 0

Answer:

C. x > 35

Step-by-step explanation:

X+11>46

X>46

   -11

X>35

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What is the perimeter of parallelogram ABCD?
Degger [83]

Answer:

18

Step-by-step explanation:

Its 4, 4, 5, and 5 which equals 18 cm.

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3 years ago
WILL MARK BRAINLEST ! HELP! THANK YOU!
Bond [772]

Answer:

By definition of congruence

Step-by-step explanation:

Triangle ABC is congruent to triangle DBE

7 0
3 years ago
What are the answers to these i put them in the picture
tekilochka [14]
The problem to number 1 is a inequality, so
x-2<-7
x<-5
since it is < it will have open dot.
Answer:  C

2.  x/3>-3
      x>-9

Answer: D

3.  5p+26<72
                5p<46
                 p<9.2

Answer: C

4.  -3w+3>=18
      -3w>=15
       x<=-5

5. 15x-21>= 12x+18
        x>=13
Answer A

6:  |3x|=15
Absolute values positive so {-5,5}
Answer: B
7: |2x-3|=5
    x=4,-1
Answer:  C
8 0
3 years ago
Life Expectancies In a study of the life expectancy of people in a certain geographic region, the mean age at death was years an
Sphinxa [80]

Answer:

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

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 establishes 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.

We have:

Mean \mu, standard deviation \sigma.

Sample of size n:

This means that the z-score is now, by the Central Limit Theorem:

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

Find the probability that the mean life expectancy will be less than years.

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

8 0
2 years ago
3. Kevin went to the nursery and bought a 5 ft tall tree. After planting the tree, Kevin made a table to record the height, h, o
Rina8888 [55]

Answer:

uh where's the rest of the question?

Step-by-step explanation:

3 0
3 years ago
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