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Westkost [7]
3 years ago
13

What is exact value of cos7pi/6

Mathematics
1 answer:
victus00 [196]3 years ago
7 0
0.523598775598299 lol I believe
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What is the equation of a line that passes through the points (3, 6) and (8, 4)
Ymorist [56]
First let us find the slope between the two points.

Slope = Change in y / Change in x.

(3, 6) and (8, 4) compares to (x₁, y₁) and (x₂, y₂)

Slope = (y₂ - y₁) / (x₂ - x₁) =  (4 - 6) / (8 - 3) = -2/5 

Slope m = -2/5= -0.4

Using  y = mx + c,   using point (3, 6)

y = -0.4x  + c

6 = -0.4*3 + c

6 = -1.2 + c

6 + 1.2 = c

7.2 = c

c = 7.2

Equation = :       y = -0.4x +c

y = -0.4x + 7.2

y = -4/10  + 72/10

10y = -4x + 72

5y = -2x + 36

Equation =:      5y = -2x + 36

Hope this explains it.
4 0
3 years ago
PLEASE ANSWER ASAP!!!
den301095 [7]
The volume of the figure is since you have to do width times heigh so 25 times 8 which would be 200 as your answer.
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2 years ago
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Find the ratio in lowest term b 750m and 1km​
Alika [10]
Hope it helps !!!!!!!

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Is a natural number always a rational number?
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A rational number is sometimes a natural number...

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The mean weight of frozen yogurt cups in an ice cream parlor is 8 oz.Suppose the weight of each cup served is normally distribut
vaieri [72.5K]

Answer:

10.03% probability of getting a cup weighing more than 8.64oz

Step-by-step explanation:

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.

In this question, we have that:

\mu = 8, \sigma = 0.5

What is the probability of getting a cup weighing more than 8.64oz

This is the 1 subtracted by the pvalue of Z when X = 8.64. So

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

Z = \frac{8.64 - 8}{0.5}

Z = 1.28

Z = 1.28 has a pvalue of 0.8997

1 - 0.8997 = 0.1003

10.03% probability of getting a cup weighing more than 8.64oz

4 0
3 years ago
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