1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Law Incorporation [45]
3 years ago
12

2/9 + 4/9 .........​

Mathematics
2 answers:
Blababa [14]3 years ago
4 0

Answer:

7/9

Step-by-step explanation:

bc logic

KATRIN_1 [288]3 years ago
3 0

Answer:

7/9

Step-by-step explanation:

hope this helps!

You might be interested in
HELP!! ILL MARK BRAINLIEST
Sonja [21]

Answer:

a

Step-by-step explanation:

youre welcome

7 0
3 years ago
Read 2 more answers
Please help a girl out I'm so confused rn
mars1129 [50]

Answer:

200 kg

Step-by-step explanation:

since 1 lb = 0.45 kg all you do is 90 ÷ 0.45

that'll get you 200

200 kg is how much Dane Danny weighs

7 0
2 years ago
Is .4% = 4/1,000?<br><br>.4% = 4/1,000?
strojnjashka [21]
Yes because 0.4% put into a decimal is 0.004 and the four in in the thousandths place
6 0
3 years ago
31 x 01111111111111111111111111
dybincka [34]
3.4444444444444444444444444444
7 0
3 years ago
Read 2 more answers
According to the Central Limit Theorem, which statements(s) are TRUE. There may be more than 1 correct answer. A. An increase in
Liono4ka [1.6K]

Answer:

Options A, B and C are correct.

Step-by-step explanation:

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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

From the Central Limit Theorem, we have that:

The larger the sample size, the closer to the normal distribution the distribution of sample means is.

No matter the sample size, the mean is the same.

The larger the sample size, the smaller the standard deviation.

The smaller the sample size, the larger the standard deviation.

So the correct options are:

A, B, C

6 0
2 years ago
Other questions:
  • what is the probability that a red or green marble will be selected from a bag containing 9 red marbles, 7 green marbles, and 11
    14·1 answer
  • On december 1, victoria company signed a 90-day, 6% note payable, with a face value of $15,000. what amount of interest expense
    8·1 answer
  • Solve the following proble<br> 1. 3a + 1 = a +9
    13·1 answer
  • 2400 is what percent of 6000
    6·2 answers
  • Helppppp pretty pleaseeee
    8·1 answer
  • Point Q has coordinates of (x, y). Point
    12·1 answer
  • Which translation vectors could have been used for the pair of
    11·1 answer
  • Can someone please help me I’ll give out brainliest thank you
    9·1 answer
  • 7. {MCC.7.G.3} Name the cross sectional area below. *
    10·1 answer
  • Graph: y =<br> |x – 4| + 2
    8·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!