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asambeis [7]
3 years ago
8

Help me with this please!

Mathematics
1 answer:
avanturin [10]3 years ago
5 0
A because it starts out 2 degrees less than it need to be (-2) and it needs to go up. It shouldn't go down so it isn't B or D and C starts at 2 and it isn't 98 degrees to start with.
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Simplify<br><br> 1/2 + (3/8 - 1/8)^2
Mandarinka [93]
9/16

Decimal form - 0.5625

You welcome :)
8 0
3 years ago
What is the surface area of a square pyramid with a slant height of 6cm and the length of one side of the square base is 5cm
erica [24]

Answer:

S = 85cm^2

Step-by-step explanation:

The surface area of a square pyramid is given by the following formula:

S=2hb+b^2

where it has taken into account the sum of the area of a square and four triangles:

4(\frac{hb}{2})+b*b=2bh+b^2

h: slant height = 6cm

b: base = 5cm

By replacing in the formula you obtain:

S=2(5cm)(6cm)+(5cm)^2=85cm^2

hence, the surface area is 85cm^2

4 0
3 years ago
The length of a rectangle is two more than twice the width. the perimeter is 58ft. what is the area of the rectangle?
goldenfox [79]

58/2 = 29

w +2w+2 = 29

3w+2 =29

3w = 27

w = 27/3 = 9

 width = 9

length = 2*9=18+2 = 20

20+20+9+9 = 58

Length = 20 feet

width = 9 feet


5 0
3 years ago
Solve for y in the given equation 2y - 24 = 14y <br> Answer are <br><br> 8y <br> -8y<br> -2 <br> 2
ArbitrLikvidat [17]

Answer:

y = -2

Step-by-step explanation:

First, we subtract 2y on both sides:

-24 = 12y

Then, we divide 12 on both sides:

y = -2

And we're done ^^ hope this helps!

6 0
3 years ago
A sample size 25 is picked up at random from a population which is normally
Margarita [4]

Answer:

a) P(X < 99) = 0.2033.

b) P(98 < X < 100) = 0.4525

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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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 distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean of 100 and variance of 36.

This means that \mu = 100, \sigma = \sqrt{36} = 6

Sample of 25:

This means that n = 25, s = \frac{6}{\sqrt{25}} = 1.2

(a) P(X<99)

This is the pvalue of Z when X = 99. So

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

By the Central Limit Theorem

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

Z = \frac{99 - 100}{1.2}

Z = -0.83

Z = -0.83 has a pvalue of 0.2033. So

P(X < 99) = 0.2033.

b) P(98 < X < 100)

This is the pvalue of Z when X = 100 subtracted by the pvalue of Z when X = 98. So

X = 100

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

Z = \frac{100 - 100}{1.2}

Z = 0

Z = 0 has a pvalue of 0.5

X = 98

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

Z = \frac{98 - 100}{1.2}

Z = -1.67

Z = -1.67 has a pvalue of 0.0475

0.5 - 0.0475 = 0.4525

So

P(98 < X < 100) = 0.4525

6 0
3 years ago
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