7.2
- Standard normal distribution.
- ∝.
- 0.3085.
- 0.4207.
0.0071.
0.3336.
0.9115.
0.9998.
0.9987.
0.441.
0.0375.
0.0009.
- 0.67.
- -2.575, 2.575.
- -2.750, 2.750.
- 0.9838.
shadenorm(mu=50, sig=7, above = 35,col = "blue",dens = 150)

shadenorm(mu=50, sig=7, above = 65,col = "blue",dens = 150)

shadenorm(mu=50, sig=7, below = 45,col = "blue",dens = 150)

0.8658.
0.0132.
0.7019.
0.1230.
Bag with 1475 chocolate chips is at 96th percentile.
Bag with 1050 chocolate chips is at 4th percentile.
8.1
- Sampling distribution.
- Mean, sigma/square root of n.
- Standard error, mean.
- True.
- False.
- False.
- Sampling of distibution of x bar is normal when mean (mean of the sample mean) = 30 and sigma (standard deviation of the sample mean) = ~2.530, (y=N(30,8))
- No because as the sample size gets bigger, the sampling distribution of x bar becomes normally distributed even if the population is not normally distributed. The sampling distribution of x bar is normal since the random variable is normal.
- mean = 80, sigma = 2.
- mean = 64, sigma = 3.
x bar is approx. normal with mean xbar = 80, simga xbar = 2
0.0668.
0.0179.
0.7969.
0.3557.
3.578.
0.0465.
0.004.
The result is strange, therefore the sample probably came from a mean with a gestation period of less than 266 days.
0.9844.