Pizza diameters have a normal distribution with a mean of 16.3 and a standard deviation of .2. Write R code to get the probability that a pizza has a diameter between 15.95 and 16.63.
 To calculate the probability that a pizza has a diameter between 15.95 and 16.63, you can use the `pnorm` function in R, which calculates the cumulative distribution function (CDF) for a normal distribution. To find the probability of a range of values, you can subtract the CDF of the lower limit from the CDF of the upper limit. Here's the R code to do this:

```R
lower_limit <- 15.95
upper_limit <- 16.63
mean_diameter <- 16.3
sd_diameter <- 0.2

prob <- pnorm(upper_limit, mean_diameter, sd_diameter) - pnorm(lower_limit, mean_diameter, sd_diameter)
prob
```

This will output the probability that a pizza has a diameter between 15.95 and 16.63.
Pizza diameters have a normal distribution with a mean of 16.3 and a standard deviation of .2. Write R code to get the probability that a pizza has a diameter between 15.95 and 16.63.

To solve this problem, we can use the `pnorm` function in R to calculate the cumulative distribution function (CDF) of the normal distribution for the given limits and mean and standard deviation. Here is the R code:

```R
# Set the mean and standard deviation
mean_diameter <- 16.3
sd_diameter <- 0.2

# Calculate the z-scores for the limits
z_lower <- (15.95 - mean_diameter) / sd_diameter
z_upper <- (16.63 - mean_diameter) / sd_diameter

# Calculate the probability
prob <- pnorm(z_upper) - pnorm(z_lower)

# Print the result
print(prob)
```

When you run this code, it will print the probability that a pizza has a diameter between 15.95 and 16.63, which is approximately 0.6827.