How many gigameters is 93 million miles and how? Plz Show your work.

At the hairdresser, Jenny had 27 centimeters cut off her hair. How many decimeter of hair did Jenny have cut off

Serhud [2]

1 decimeter is 10 centimeter so you divide 27 by 10 and get 2.7
So she cut 2.7 decimeter off her hair

4 0

3 years ago

I need help!!!! I don’t understand this!

natulia [17]

To find the angles in these problems you have to do one of two things.

1) If we are looking for an interior angle with the exterior angle given, we can find the interior angle by subtracting the exterior angle from 180.

EX: Exterior angle K is 140. Therefore the interior angle is 40 (180 - 140 = 40).

2) If order to find an interior angle when you have other interior angles, add up the other interior angles and subtract them from 180.

EX) Interior angle A is 32 because the other angles are 120 and 28. (180 - 120 - 28 = 32)

ALSO, remember that the square is equal to 90 degrees. I've included an answer list for you below.

A = 32

B = 152

C = 65

D = 25

E = 37

F = 83

G = 97

H = 97

I = 83

J = 57

K = 40

L = 120

M = 60

N = 90

O = 79

P = 12

3 0

3 years ago

Makos goal is to save $42 he currently has $2 and plans to save $18 per week let x represent the number of weeks mako saves mone

shutvik [7]

It’s is 3 weeks long that’s the answer

3 0

3 years ago

A population has a mean of 200 and a standard deviation of 50. Suppose a sample of size 100 is selected and x is used to estimat

zmey [24]

Answer:

a) 0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b) 0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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 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 $s = \frac{\sigma}{\sqrt{n}}$ .