1 hour each day is used for test
so 8-1=7 used per day
so commercial is 1 in the 4:2:1 so
4+2+1=7
ok, so 7 units, 7 hours
4 hour for private
2 hour for research
1 hour of commerical
4*5=20=private
2*15=30=research
1*4=40=commercial
20+30+40=90
percent from commercial
40/90=0.44444444444≈44.44% about 44%
Step-by-step explanation:
10 2/3 + 3 1/3 = 10 + 3 + 2/3 + 1/3 = 13 + 3/3 = 13 + 1 = 14
Answer:
Y = 7.60X + 1246.67
Step-by-step explanation:
Given the data:
Production Volume (units) Total Cost ($)
400 4000
450 5000
550 5400
600 5900
700 6400
750 7000
Using technology, the linear regression calculator, the regression model obtained by fitting the data is :
Y = 7.60X + 1246.67 ; which is the model giving the relationship between Production volume, x and total cost, y.
Slope = 7.60
Intercept = 1246.67
I think the best value for x is -9 because 6 x -9 = 54, minus 8 equals -44.
Answer: 0.0158
Step-by-step explanation:
Given : The data for the United States is that out of 1,000 sampled, 470 indicated yes, they felt political news was reported fairly.
According to the given information we have,
Sample size : n= 1000
Sample proportion: 
The standard error for proportion is given by :-
[Rounded to the nearest four decimal places.]
Hence, the standard error for the confidence interval = 0.0158
