Answer:
Hello, There!
<h2>Your Question↓</h2>
"Like", "Um", and "You know" are all examples of .....
<h2>Answer↓</h2><h3>B. slang and filler words</h3>
Explanation:
<h2>meaning of filler and examples</h2>
- ⇒Filler words are words that creep into our writing during the drafting stage, such as that, just, even, seem, very or really.
<h2>Now We have to figure Out what is Slang...</h2>
- ⇒Slang is vocabulary that is used between people who belong to the same social group and who know each other well.
<h3>We usually use slang in speaking rather than writing.</h3><h3 />
Note: remember You are loved And you are a Blessing! ^^ <3
I hope this helps!
Answer:
2080 IU
Explanation:
Given
Ratio of vitamin A in cow milk to goat milk = 3 : 4
Required
Determine the content of vitamin A in goat milk if cow milk has 1560 IU
The given parameters shows a direct proportion.
Let G represents Goat and C represent Cow
Given that there exists a direct proportion;
C = K * G where K represents the constant of proportionality.
Solving for K when C = 3 and G = 4
C = K * G becomes
3 = K * 4
3 = 4K
Divide through by 4
¾ = K
K = ¾
Now, solving for G given that C = 1560IU;
We'll make use of the same formula as above
C = K * G
Substitute 1560 for C and ¾ for K; the expression becomes
1560 = ¾ * G
Multiply both sides by 4
4 * 1560 = 4 * ¾ * G
6240 = 3 * G
Multiply both sides by ⅓
⅓ * 6240 = ⅓ * 3 * G
2080 = G
G = 2080
Hence, the vitamin A in the goat milk is 2080IU
Perseverance is worth a thousand one hit wonder successes. There are so many “accidental” successes.. Roosevelt was a wise wise man. He knew that through persistent attempts at anything and everything in life, man will end up wiser, better off, & more successful/ rich in the skill of life- which can get you anywhere
Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
<h3>Central Limit Theorem</h3>
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
To learn more about the Central Limit Theorem, you can check brainly.com/question/24663213
