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WITCHER [35]
3 years ago
6

Please help me please thank you

Mathematics
2 answers:
Gennadij [26K]3 years ago
8 0

Answer:

Step-by-step explanation:

a-c is a line

EastWind [94]3 years ago
8 0

Answer:

10.  BJ

11.  ABK

12.  JBK

13.  PRQ

14.  PRC

15.  KBR

Step-by-step explanation:

You might be interested in
The mean weight of an adult is 69 kilograms with a variance of 121. If 31 adults are randomly selected, what is the probability
amid [387]

Answer:

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

Step-by-step explanation:

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

Also, important to remember that the standard deviation is the square root of the variance.

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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 69, \sigma = \sqrt{121} = 11, n = 31, s = \frac{11}{\sqrt{31}} = 1.97565

What is the probability that the sample mean would be greater than 70.5 kilograms?

This is 1 subtracted by the pvalue of Z when X = 70.5. So

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

By the Central limit theorem

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

Z = \frac{70.5 - 69}{1.97565}

Z = 0.76

Z = 0.76 has a pvalue of 0.7764

1 - 0.7764 = 0.2236

0.2236 = 22.36% probability that the sample mean would be greater than 70.5 kilograms.

8 0
3 years ago
Which statement about triangles is NOT true?
garri49 [273]

Answer:

I believe the second is wrong

4 0
3 years ago
Workers who drive to work in a city have a one in three chance of experiencing traffic delays.
Marysya12 [62]

Answer:

idfk

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
Help with this question the first number is 8z
cricket20 [7]
I hope this helps you



z=3/2


8. (3/2)^3-12.3/2-15


8.27/8-6.3-15


27-18-15


-6
8 0
3 years ago
What is y 12y - 19= 6y+1=
nadezda [96]

Answer:

<h2><u><em>Y= 10/3 or 3.333....</em></u></h2>

Step-by-step explanation:

12y-19= 6y+1

12y-6y = 1 +19

6y = 20

y = 20/6

y= 10/3 or 3.33..

 

<h2><u><em>HAVE A NICE TIME :)</em></u></h2><h2><em>pls give a </em><u><em>brainliest</em></u><em> if it is CORRECT</em></h2>
3 0
2 years ago
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