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.
To learn more about normal distribution, refer to:
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Answer:
x = -8
Step-by-step explanation:
1. Because the line the angles x + 96 and 100 + x are on is straight, it's a straight angle that results in 180°.
2. Given the above information, that means x + 96 + 100 + x = 180.
3. (Solving for equation above)
Step 1: Simplify both sides of the equation.
Step 2: Subtract 196 from both sides.
Step 3: Divide both sides by 2.
Step 4: Check if solution is correct.
Therefore, x = -8.
Answer:
1
Step-by-step explanation:
Hi there,
5x?=110 ?=22
how? 110/5=22
now 2x?=110
110/2=55 ?=55'
so we know now that people bought 22 packages with card and 55 w/th out cards!
so no we need to divide 695/both
695/5=139 packages with cards
695/2=347 packages without cards
SO
139 packages with card
347 packages without card
The correct answer for the question that is being presented above is this one:
We want to pull 11 (this means not including 12) or less from the bag and there are 100 possibilities
= 11/100
So the probability is <span>11/100</span>