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timama [110]
3 years ago
15

7 3/4 + (12 - 3 6/11) =

Mathematics
2 answers:
nataly862011 [7]3 years ago
5 0

Answer:

\frac{713}{44}  = 16 \frac{9}{44}

Step-by-step explanation:

7 3/4+ (12 - 3 6/11)

31/4 + (12 - 3 6/11)

31/4 + (12 - 39/11)

31/4 + 93/11

= <u>7</u><u>1</u><u>3</u><u>/</u><u>4</u><u>4</u><u> </u><u>=</u><u> </u><u>1</u><u>6</u><u> </u><u>9</u><u>/</u><u>4</u><u>4</u>

ladessa [460]3 years ago
5 0

Answer:

{ \boxed { \sf{Answer = 16 \frac{9}{44} }}}

Step-by-step explanation:

\\  \sf {7} \frac{3}{4}  + (12 - 3 \frac{6}{11} )

\\  \sf =  \frac{31}{4}  + (12 -  \frac{39}{11} )

\\  \sf =  \frac{31}{4} ( \frac{132 - 39}{11} )

\\  \sf =  \frac{31}{4}  +  \frac{93}{11}

\\  \sf =  \frac{341 + 372}{44}

\\  \sf =  \frac{713}{44}

\\  \sf = 16\frac{9}{44}

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The distribution of results from a cholesterol test has a mean of 180 and a standard deviation of 20. A sample size of 40 is dra
olga2289 [7]

Using the normal distribution, there is a 0.2148 = 21.48% probability that the sum of the 40 values is less than 7,100.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation s = \frac{\sigma}{\sqrt{n}}.

For this problem, these parameters are given as follows:

\mu = 180, \sigma = 20, n = 40, s = \frac{20}{\sqrt{40}} = 3.1623

A sum of 7100 is equivalent to a sample mean of 7100/40 = 177.5, which means that the probability is the <u>p-value of Z when X = 177.5</u>, hence:

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

By the Central Limit Theorem:

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

Z = \frac{177.5 - 180}{3.1623}

Z = -0.79

Z = -0.79 has a p-value of 0.2148.

There is a 0.2148 = 21.48% probability that the sum of the 40 values is less than 7,100.

More can be learned about the normal distribution at brainly.com/question/28135235

#SPJ1

5 0
2 years ago
What is the answer please help?
sammy [17]
I got d) not here. I solved it using my knowledge with angle relationships. I think the same rules apply with circles, but I am not 100% sure so please double check the math.

6 0
3 years ago
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