A researcher used simple random sampling in collecting grade-point averages of statistics students. From there, he calculated the mean of the sample.
The question: “Under what conditions can the sample mean he got be treated as a value from a population having a normal distribution?” can be answered by the central limit theorem which states that: Given a population with a finite mean μ and a finite non-zero variance σ2, the sampling distribution of the mean N approaches a normal distribution. if sample size, increases. The researcher needs to increase the number of statistics students so the variance of the sampling distribution of the mean will become smaller.
Answer: 9:5
Step-by-step explanation:
81:45 I first just divided them both by three and got 27:15 then they were both divisible by 3 so then I got 9:5
Answer:
Option A 1/2x³ is your answer
Answer: Symmetrical, Bell-shaped
Step-by-step explanation:
The Normal Probability Distribution is very popular among all because of its unique mathematical characteristics like
- Normal distributions are symmetric.
- They are unimodal (i.e. it has only one mode).
- All mean, median, mode are equal.
- It is symmetrical around center where mean, median and mode lies.
- Its curve is always a bell shaped curve.
Hence, the major characteristics of a normal probability distribution:
Symmetrical, Bell-shaped
Answer:
the answer is 5
Step-by-step explanation:
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