6. Use R: Suppose the yearly income of people in Minnesota is normally distributed with mean 45700 and standard deviation 2830. Find the probability that a randomly selected person (X) has an income between 44000 and 48000.

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**Example Problem for Statistical Analysis using R**

**Problem 6**

Suppose the yearly income of people in Minnesota is normally distributed with a mean of 45,700 and a standard deviation of 2,830. Find the probability that a randomly selected person (X) has an income between 44,000 and 48,000.

**Solution Approach**: 
To solve this, we can use R software to calculate probabilities for normal distributions. This involves finding the cumulative distribution function (CDF) for the specified income range and subtracting the lower CDF value from the higher one.

In R, you might use the following commands to get the probability:

```R
mean <- 45700
sd <- 2830
lower_bound <- 44000
upper_bound <- 48000

probability <- pnorm(upper_bound, mean, sd) - pnorm(lower_bound, mean, sd)
print(probability)
```

This code calculates the probability that a person has an income between 44,000 and 48,000 by calculating the area under the normal curve for that range.
Transcribed Image Text:**Example Problem for Statistical Analysis using R** **Problem 6** Suppose the yearly income of people in Minnesota is normally distributed with a mean of 45,700 and a standard deviation of 2,830. Find the probability that a randomly selected person (X) has an income between 44,000 and 48,000. **Solution Approach**: To solve this, we can use R software to calculate probabilities for normal distributions. This involves finding the cumulative distribution function (CDF) for the specified income range and subtracting the lower CDF value from the higher one. In R, you might use the following commands to get the probability: ```R mean <- 45700 sd <- 2830 lower_bound <- 44000 upper_bound <- 48000 probability <- pnorm(upper_bound, mean, sd) - pnorm(lower_bound, mean, sd) print(probability) ``` This code calculates the probability that a person has an income between 44,000 and 48,000 by calculating the area under the normal curve for that range.
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