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Sunny_sXe [5.5K]
3 years ago
13

The period of a compound pendulum is given by T=2π√(h²+k²/gh) express k in terms of T,h and g​

Mathematics
1 answer:
makvit [3.9K]3 years ago
8 0

Answer:

qss-qvcj-kwr join guys iam bored

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HELP!!!!!!!!!!!!!!!!
koban [17]
275=25x+100 is the correct equation for the number of months it will take for wade to save $275
5 0
3 years ago
Someone help me with example plzz
kati45 [8]

Answer:

Angle JML= 132( given)

Triangle JML= 180( Angle sum property)

2x+ 48= KML( Exterior angle property)

In triangle JML,

76 + ∠L+ ∠KML=180°

∠KML=∠L( angles opposite to equal sides are equal)

76+2(2x+48)=180°

2(2x+48)=104°

2x=104-48=64°

x= 32°

Step-by-step explanation:

Hope it helps : )

5 0
2 years ago
I need help that is simple enough explnation
velikii [3]

Answer:

7 in both boxes

Step-by-step explanation:

In the picture, it shows

4 (x - 3) = 20

and then it shows

4 (x) - 4 (3) = 20

so practically you separate the x and 3 and put them in parentheses and then put a 4 next to both of them.

It should be the same as your question.

7 x (8 - 3)

and then separate 8 and 3 and put a 7 next to both of them.

( 7 x 8) - ( 7 x 3)

Hope it helps and have a great day! =D

~sunshine~

3 0
2 years ago
A snack mix recipe calls for 2 1/5 cups of grapes and 1/4 cup of cheese. Skyler wants to make the same recipe using 1 cup of che
Sophie [7]

Answer:

8.8

Step-by-step explanation:

You multiply by 4

4 0
3 years ago
Read 2 more answers
A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were de
olga2289 [7]

Answer:

Se=1.2

Step-by-step explanation:

The standard error is the standard deviation of a sample population. "It measures the accuracy with which a sample represents a population".

The central limit theorem (CLT) states "that the distribution of sample means approximates a normal distribution, as the sample size becomes larger, assuming that all samples are identical in size, and regardless of the population distribution shape"

The sample mean is defined as:

\bar X =\frac{\sum_{i=1}^n x_i}{n}

And the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

Let X denotes the random variable that measures the particular characteristic of interest. Let, X1, X2, …, Xn be the values of the random variable for the n units of the sample.

As the sample size is large,(>30) it can be assumed that the distribution is normal. The standard error of the sample mean X bar is given by:

Se=\frac{\sigma}{\sqrt{n}}

If we replace the values given we have:

Se=\frac{12}{\sqrt{100}}=1.2

So then the distribution for the sample mean \bar X is:

\bar X \sim N(\mu=80,Se=1.2)

5 0
3 years ago
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