Answer:
21 I think, might be wrong.
Answer:
95% confidence interval for the proportion of days that IBM stock increases.
(0.45814 , 0.58146)
Step-by-step explanation:
<u><em>Step:1</em></u>
Given that a stock market analyst notices that in a certain year, the price of IBM stock increased on 131 out of 252 trading days.
Given that the sample proportion

Level of significance = 0.05
Z₀.₀₅ = 1.96
<u><em>Step:2</em></u>
<u><em>95% confidence interval for the proportion of days that IBM stock increases.</em></u>
<u><em></em></u>
<u><em></em></u>

(0.5198 - 0.06166 , 0.5198+0.06166)
(0.45814 , 0.58146)
<u><em>Final answer:-</em></u>
95% confidence interval for the proportion of days that IBM stock increases.
(0.45814 , 0.58146)
If the height of candle after 10 and 26 hours are 25 cm and 17 cm then the height of candle after 21 hours is 19.5 cm.
Given height of candle after 10 hours is 25 cm , height of candle after 26 hours is 17 cm.
We have to find the height of candle after 21 hours.
We have been given two points of linear function (10,25),(26,17).
We have to first form an equation which shows the height of candle after x hours.
let the hours be x and the height be y.
Equation from two points will be as under:

(y-25)=(17-25)/(26-10)* (x-10)
y-25=-8/16 *(x-10)
16(y-25)=-8(x-10)
16y-400=-8x+80
8x+16y=480
Now we have to put x=21 to find the height of candle after 21 years.
8*21+16y=480
168+16y=480
16y=480-168
16y=312
y=312/16
y=19.5
Hence the height of candle after 21 hours is 19.5 cm.
Learn more about equation at brainly.com/question/2972832
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Answer and explanation:
Given : The demand for a product for the last six years has been 15, 15, 17, 18, 20, and 19. The manager wants to predict the demand for this time series using the following simple linear trend equation : 
To find : What are the forecast errors for the 5th and 6th years?
Solution :
Data : 15, 15, 17, 18, 20, and 19.
The simple linear trend equation is given as, 
For t = 5 years



Observed 
Predicted 
Forecast error = Observed – Predicted = 20 – 22 = -2
Absolute forecast error = |-2| = 2
.
For t = 6 years



Observed 
Predicted 
Forecast error = Observed – Predicted = 19 – 24 = -5
Absolute forecast error = |-5| = 5.
Answer:
Two parts red paint to one part blue.
Step-by-step explanation:
An example would be 2/3 cup red paint mixed with 1/3 cup blue.