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guapka [62]
3 years ago
7

If f(x) = 2x + 1, find f(1).

Mathematics
1 answer:
____ [38]3 years ago
5 0

Answer:

3

Step-by-step explanation:

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The weight of eggs from a local farm are Normally
SVEN [57.7K]

Answer:

65.5

Step-by-step explanation:

I just took the assignment on edge. Good luck

5 0
3 years ago
Strategies for rational numbers
hjlf

Answer:

A rational number is a number that can be expressed as a fraction where both the numerator and the denominator in the fraction are integers.

Step-by-step explanation:

what are u trying to calculate?

4 0
3 years ago
Solve the inequality:<br>x+8 &gt; 14<br>O x26<br>O x2 22<br>Oxs 22<br>Ο κε 6​
almond37 [142]

Answer:

Option D, x > 6

Step-by-step explanation:

<u>Step 1:  Subtract 8 from both sides </u>

<u />x + 8 > 14

x + 8 - 8 > 14 - 8

x > 6

Answer:  Option D, x > 6

6 0
3 years ago
A distribution of values is normal with a mean of 220 and a standard deviation of 13. From this distribution, you are drawing sa
Paraphin [41]

Answer:

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

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 distributied random variable X, with mean \mu and standard deviation \sigma, the sample means with size n 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 = 220, \sigma = 13, n = 35, s = \frac{13}{\sqrt{35}} = 2.1974

Find the interval containing the middle-most 48% of sample means:

50 - 48/2 = 26th percentile to 50 + 48/2 = 74th percentile. So

74th percentile

value of X when Z has a pvalue of 0.74. So X when Z = 0.643.

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

By the Central Limit Theorem

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

0.643 = \frac{X - 220}{2.1974}

X - 220 = 0.643*2.1974

X = 221.41

26th percentile

Value of X when Z has a pvalue of 0.26. So X when Z = -0.643

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

-0.643 = \frac{X - 220}{2.1974}

X - 220 = -0.643*2.1974

X = 218.59

The interval containing the middle-most 48% of sample means is between 218.59 to 221.41.

5 0
4 years ago
PLEASE HELP ASAP!!!
MAVERICK [17]

Answer:

y - 2, 3, 4, 5

Hope this helps :)

3 0
2 years ago
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