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Leona [35]
3 years ago
11

Which function does lim x approaches 1 f(x) not exist?

Mathematics
1 answer:
tamaranim1 [39]3 years ago
6 0

Answer:

I put III

Step-by-step explanation:

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Hellppppp plzzzzzz........​
Murrr4er [49]
Use Socratic. download it mate it’s better than brainly
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3 years ago
Evaluate the diagram below
tigry1 [53]

Answer:

Only option (A) is incorrect.

So , true statements are (B), (C) &(D).

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3 years ago
Read 2 more answers
Jada has 7/8 cup of cheese. Her cheese bread recipe calls for 1/6 cup of cheese. How many times can she make her recipe with the
monitta
Divide 7/8 cup by 1/6 cup.

Write 7/8.  Then invert 1/6 and multiply the result:

7     6
-- * --- = 42/8 = 5 2/8 = 5 1/4.  She can make her recipe 5 times and have a bit of cheese left over.
8     1
5 0
3 years ago
K+3d=8c-8d<br><br> solve for d
FromTheMoon [43]
Move k to the other side to isolate d.

So we will get 3d = 8c - 8d - k

Now divide both sides by 3 to isolate d.

So d = 8/3c - 8/3d - k/3
5 0
3 years ago
Halloween Candy Halloween is Kelly's favorite holiday of the year! Based on experience, Kelly knows that on average, each house
LuckyWell [14K]

Using the <u>normal distribution and the central limit theorem</u>, it is found that there is an approximately 0% probability that the total number of candies Kelly will receive this year is smaller than last year.

Normal Probability Distribution

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

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

  • It 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, which is the percentile of X.
  • By the Central Limit Theorem, for n instances of a normal variable, the mean is n\mu while the standard deviation is s = \sigma\sqrt{n}.

In this problem:

  • Mean of 4 candies, hence \mu = 4.
  • Standard deviation of 1.5 candies, hence \sigma = 1.5.
  • She visited 35 houses, hence n = 35, \mu = 35(4) = 140, s = 1.5\sqrt{4} = 3

The probability is the <u>p-value of Z when X = 122</u>, hence:

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

By the Central Limit Theorem

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

Z = \frac{122 - 140}{3}

Z = -6

Z = -6 has a p-value of 0.

Approximately 0% probability that the total number of candies Kelly will receive this year is smaller than last year.

A similar problem is given at brainly.com/question/24663213

6 0
3 years ago
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