Answer:
great :) wbu
Step-by-step explanation:
Jar 1 : 16 red, 4 blue....total = 20
P(blue) = 4/20 reduces to 1/5
jar 2 : 75 white,25 blue...total = 100
P(blue) = 25/100 reduces to 1/4
P(blue,blue) = 1/5 * 1/4 = 1/20 or 0.05 or 5%
Following are the solution parts for the given question:
For question A:
In the given question, we calculate
of the confidence interval for the mean weight of shipped homemade candies that can be calculated as follows:
![\to \bar{X} \pm t_{\frac{\alpha}{2}} \times \frac{S}{\sqrt{n}}](https://tex.z-dn.net/?f=%5Cto%20%5Cbar%7BX%7D%20%5Cpm%20t_%7B%5Cfrac%7B%5Calpha%7D%7B2%7D%7D%20%5Ctimes%20%5Cfrac%7BS%7D%7B%5Csqrt%7Bn%7D%7D)
Using the t table we calculate
When
of the confidence interval:
So
confidence interval for the mean weight of shipped homemade candies is between
.
For question B:
![\to (n) = 500](https://tex.z-dn.net/?f=%5Cto%20%28n%29%20%3D%20500)
Here we need to calculate
confidence interval for the true proportion of all college students who own a car which can be calculated as
![\to p' \pm Z_{\frac{\alpha}{2}} \times \sqrt{\frac{p'(1-p')}{n}}](https://tex.z-dn.net/?f=%5Cto%20p%27%20%5Cpm%20Z_%7B%5Cfrac%7B%5Calpha%7D%7B2%7D%7D%20%5Ctimes%20%5Csqrt%7B%5Cfrac%7Bp%27%281-p%27%29%7D%7Bn%7D%7D)
Using the Z-table we found
therefore
the confidence interval for the genuine proportion of college students who possess a car is
So
the confidence interval for the genuine proportion of college students who possess a car is between ![0.28 \ and\ 0.34.](https://tex.z-dn.net/?f=0.28%20%5C%20and%5C%200.34.)
For question C:
- In question A, We are
certain that the weight of supplied homemade candies is between 392.47 grams and 427.53 grams. -
In question B, We are
positive that the true percentage of college students who possess a car is between 0.28 and 0.34.
Learn more about confidence intervals:
brainly.in/question/16329412
12000000 bytes is one frame, then you multiply that by 24 to get one second (288000000 bytes). Then I just multiplied that by 60 to get one minute (17.28 billion). After that I multiplied by sixty to get 1037000000000000 (1.037 trillion) so its 1.037 trillion bytes.