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Ede4ka [16]
3 years ago
14

Write the number 208000478 in expanded form

Mathematics
2 answers:
Alja [10]3 years ago
5 0
200000000+80000000+400+70+8
Lisa [10]3 years ago
3 0
20,000,000+80,000+4,000+78

It's been a while since i learned this..

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Give me your opinion on the new song driver license, and explain what the songs about?
horrorfan [7]

Answer:

the song is a break up

Step-by-step explanation:

honestly I find it very good but its funny because I grew up being obsessed with bizrdvark which is a kids show on Disney she was on

5 0
2 years ago
Write the ratio 4/7 to 14 as a fraction in simplest form.
Sholpan [36]
4/7 : 14
2 : 49

stay safe
6 0
3 years ago
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kelly buys 3 video games that cost &18.95 each. she also buys 2 pairs of earbuds that cost $11.50 each. she has a coupon for
monitta

Answer:

The Cashier

Step-by-step explanation:

First you take off $2.00 of every $18.95 of the game and you get $16.95 you add 16.95 three times and after that you add 11.50 twice and then the sum of both the earbuds and the video games and you add both together and you get $73.85

5 0
3 years ago
WHAT IS 1+100,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000=
Keith_Richards [23]

Answer:

100,000,000,000,000,000,000,000,000,000,000,000,000,000,000,001

Step-by-step explanation:

Hope this helps!:)

7 0
3 years ago
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Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 149 millimeters,
Artemon [7]

Answer:

The probability that the sample mean would differ from the population mean by more than 0.5 millimeters is 0.2420.

Step-by-step explanation:

Let <em>X</em> = the diameter of the steel bolts manufactured by the steel bolts manufacturing company Thompson and Thompson.

The mean diameter of the bolts is:

<em>μ</em> = 149 mm.

The standard deviation of the diameter of bolts is:

<em>σ</em> = 5 mm.

A random sample, of size <em>n</em> = 49, of steel bolts are selected.

The population of the diameter of bolts is not known.

According to the Central Limit Theorem if we have a population with mean <em>μ</em> and standard deviation <em>σ</em> and we take appropriately huge random samples (<em>n</em> ≥ 30) from the population with replacement, then the distribution of the sample mean will be approximately normally distributed.

The mean of the sampling distribution of sample mean is:

\mu_{\bar x}=\mu=149\ mm

The standard deviation of the sampling distribution of sample mean is:

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}=\frac{5}{\sqrt{49}}=0.7143

Compute the probability that the sample mean would differ from the population mean by more than 0.5 millimeters as follows:

P(\bar X>\bar x)=P(\frac{\bar X-\mu_{\bar x}}{\sigma _{\bar x}}>\frac{0.50}{0.7143})\\=P(Z>0.70)\\=1-P(Z

*Use a <em>z</em>-table for the probability.

Thus, the probability that the sample mean would differ from the population mean by more than 0.5 millimeters is 0.2420.

8 0
3 years ago
Read 2 more answers
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