65,272 views
41 votes
41 votes
The amount of syrup that people put on their pancakes is normally distributed with mean 60 mL and standard deviation 11 mL. Suppose that 12 randomly selected people are observed pouring syrup on their pancakes. Round all answers to 4 decimal places where possible.

The amount of syrup that people put on their pancakes is normally distributed with-example-1
User Maarij Bhatti
by
2.9k points

1 Answer

25 votes
25 votes

ANSWERS

a. N(60, 121)

b. N(60, 121/12)

c. P(59.3 < X < 61.2) = 0.0677

d. P(59.3 < X < 61.2) = 0.2351

e. Yes

Step-by-step explanation

Given:

• Mean; 60 mL

,

• Standard deviation: 11 mL

,

• 12 randomly selected people are observed pouring syrup on their pancakes.

a. The distribution of X is,


X\sim N(\mu,\sigma^2)

So this is,


X\sim N(\mu=60,\sigma^2=11^2)=N(60,121)

Hence, the distribution of X is N(60, 121).

b. The distribution of the x (suppose the line is above x instead) is,


\bar{x}\sim N(\mu,s^2=(\sigma/√(n))^2)

So, if 12 people are randomly chosen,


\bar{x}\sim N\left(60,\left((11)/(√(12))\right)^2\right)=N\left(60,(121)/(12)\right)

Hence, the distribution of x is N(60, 121/12).

c. We have to find the probability that a randomly chosen individual consumes between 59.3 mL and 61.2 mL of syrup. This is,


P(59.3\lt X\lt61.2)=P(X\lt61.2)-P(X\lt59.3)

Using the standardization formula,


z=(x-\mu)/(\sigma)

We have,


P(X\lt61.2)=P\left(Z\lt(61.2-60)/(11)\right)=P(Z\lt0.11)

And,


P(X\lt59.3)=P\left(Z\lt(59.3-60)/(11)\right)=P(Z\lt-0.06)=1-P(Z\lt0.06)

We look up these z-scores in a z-table,

So,


P(X\lt61.2)-P(X\lt59.3)=P(Z\lt0.11)-(1-P(Z\lt0.06))=0.5438-1+0.5239=0.0677

Hence, the probability that a randomly selected person consumes between 59.3 mL and 61.2 mL of syrup is 0.0677.

d. Now, for the entire group of 12 pancake eaters, we have to find the probability that the average amount of syrup is between 59.3 mL and 61.2 mL (same as part c, but for x). This is,


P(59.3\lt X\lt61.2)=P(X\lt61.2)-P(\bar{X}\lt59.3)

Standardize with,


\bar{Z}=\frac{\bar{X}-\mu}{(\sigma)/(√(n))}

So we have,


P(\bar{X}\lt61.2)=P\left(\bar{Z}\lt(61.2-60)/((11)/(√(12)))\right)=P(\bar{Z}\lt0.38)

And,


P(\bar{X}\lt59.3)=P\left(\bar{Z}\lt(59.3-60)/((11)/(√(12)))\right)=P(\bar{Z}\lt-0.22)=1-P(\bar{Z}\lt0.22)

Again, we look up these values in a z-table,

So,


P(59.3\lt\bar{X}\lt61.2)=0.6480-(1-0.5871)=0.6480-1+0.5871=0.2351

Hence, the probability that the average amount of syrup is between 59.3 mL and 61.2 mL is 0.2351.

e. Yes, it is necessary for part (d) the assumption that the distribution is normal.

The amount of syrup that people put on their pancakes is normally distributed with-example-1
The amount of syrup that people put on their pancakes is normally distributed with-example-2
User Rottitime
by
3.0k points