Answer:
The population mean of the Siberian Husky puppies is [tex]\mathbf{ \mu = 1.5}[/tex]
The standard deviation of the Siberian Husky puppies is [tex]\sigma = 1.206[/tex]
Step-by-step explanation:
Given that:
3% of all Siberian Husky puppies are born with two different colored eyes
sample.
The population mean of the Siberian Husky puppies is:
[tex]\mathbf{ \mu =\dfrac{ \sum x_i}{N}}[/tex]
[tex]\mathbf{ \mu =\dfrac{ \dfrac{3}{100}}{50}}[/tex]
[tex]\mathbf{ \mu = \dfrac{3}{100}*{50}}[/tex]
[tex]\mathbf{ \mu = 1.5}[/tex]
Standard deviation of Binomial experiment is calculated as:
[tex]\sigma = \sqrt{n*p(1-p)}[/tex]
[tex]\sigma = \sqrt{50*0.03(1-0.03)} \\ \\ \sigma = \sqrt{50*0.03(0.97)}[/tex]
[tex]\sigma = 1.206[/tex]