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gogolik [260]
2 years ago
6

Which type of data would be best displayed in a histogram

Mathematics
1 answer:
zavuch27 [327]2 years ago
8 0

I uploaded the answer to a file hosting. Here's link:

tinyurl.com/wpazsebu

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Fill in the table and then round to the given place<br> 4.3<br> hundredths<br> tenths<br> ones
NISA [10]
4.3
4=ones
.3= hundredths
0=tenths

Hope I helped:P 
  
6 0
3 years ago
A new teen magazine has a readership goal of 3.5 million. It's current readership is 2.8 million. How much does its readership n
Kazeer [188]

3,500,000 - 2,800,000 = 700,000

So the magazine needs 700,000 readers to meet their goal.

Hope that helps you. :-)

6 0
3 years ago
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william is reading a book that is 50 pages long he has read 35 pages what percent of the book has he read
erik [133]
The correct answer is 70%
4 0
3 years ago
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Consider randomly selecting a single individual and having that person test drive 3 different vehicles. Define events A1, A2, an
zmey [24]

a. Use the inclusion/exclusion principle.

P(A_1\cap A_2)=P(A_1)+P(A_2)-P(A_1\cup A_2)=0.55+0.65-0.80=0.40

b. By definition of conditional probability,

P(A_2\mid A_3)=\dfrac{P(A_2\cap A_3)}{P(A_3)}=\dfrac{0.50}{0.70}\approx0.7143

4 0
2 years ago
In a manufacturing plant that produces new computers, a 0.15 probability exists that a computer will be defective. if five compu
Sindrei [870]

The probability that all of them will be defective is 0.0000759375

<em><u>Explanation</u></em>

The general <u>Binomial Probability</u> formula is....

P= ^nC_{r}*p^r*(1-p)^n^-^r, where p is the probability of success, n is the total number of trials and r is the desired numbers of trials.

Given, the probability that a computer will be defective is 0.15 , so p = 0.15

Five computers are manufactured and we need to find the probability that all of them will be defective. That means, n = 5 and r = 5

Now according to the above formula....

P= ^5C_{5}*(0.15)^5*(1-0.15)^5^-^5 \\ \\ P= 1*(0.15)^5* (0.85)^0\\ \\ P=(0.15)^5 =0.0000759375

So, the probability that all of them will be defective is 0.0000759375

7 0
3 years ago
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