A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
Yes, the large-sample confidence interval will be valid.
<h3>What is meant by normal distribution?</h3>
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
The normal distribution, also known as the Gaussian distribution, is a symmetric probability distribution about the mean, indicating that data near the mean occur more frequently than data far from the mean.
The confidence interval will be valid regardless of the shape of the population distribution as long as the sample is large enough to satisfy the central limit theorem.
<h3>
What does a large sample confidence interval for a population mean?</h3>
A sample is considered large when n ≥ 30.
By 'valid', it means that the confidence interval procedure has a 95% chance of producing an interval that contains the population parameter.
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Answer:
the triangles are reflected across the line y= -x
hope this helps
Step-by-step explanation:
Answer:
<h3>The value C(t) of the car after 5 years is $12709.</h3>
Step-by-step explanation:
Given that Landon bought a new car for $16,000 and it depreciates 4.5% every year.
<h3>To find the value C(t) of the car after 5 years:</h3>
Initial value 
Depreciation rate is 
<h3>∴ r=0.045</h3>
Period , t=5 years

Substitute the values we get



∴ 
<h3>The value C(t) of the car after 5 years is $
12709</h3>
Answer:

Step-by-step explanation:
Given the information
- 4 containers of 4 different colors
- 1/3 of each color left over
- She had planted more than 2 1/2 of the original 4 containers
=> Total color were left = 1/3 x 4 = 4/3 of the original containers
=> Total color were planted = (1 - 1/3) x 4 = 2/3 x 4 = 8/3 of the original containers
However, 8/3 =
> 2
So she is true, hence, the fractions to determine the total amount of containers of flowers she planted is:
Hope it will find you well