Answer:
The other table needs to be 8ft long as well.
Step-by-step explanation:
To get to 16ft, we need to subtract the 8ft that Henry already has.
16 - 8 equals 8.
So, the other table needs to be 8 feet.
#teamtrees #WAP (Water And Plant)
B. 12/37
C. 12/35
D. 35/37
Answer:
A
Step-by-step explanation:
Use the SOH CAH TOA
Tangent = Opposite / adjacent
tan (a) = 35 / 12
Answer:
the answer is obviously going to be a
Answer:
Step-by-step explanation:
If y is the future value of the $1900 investment, in dollars, after t years at a rate of 3.75% per year, compounded annually. The exponential function that describes the relationship between the variables y and t is:
This relationship means that for every year t, the amount y will increase by a factor of 1.0375.
Answer:
41101.750 to 43898.250
Step-by-step explanation:
Using this formula X ± Z (s/√n)
Where
X = 42500 --------------------------Mean
S = 6800----------------------------- Standard Deviation
n = 64 ----------------------------------Number of observation
Z = 1.645 ------------------------------The chosen Z-value from the confidence table below
Confidence Interval Z
80%. 1.282
85% 1.440
90%. 1.645
95%. 1.960
99%. 2.576
99.5%. 2.807
99.9%. 3.291
Substituting these values in the formula
Confidence Interval (CI) = 42500 ± 1.645(6800/√64)
CI = 42500 ± 1.645(6800/8)
CI = 42500 ± 1.645(850)
CI = 42500 ± 1398.25
CI = 42500+1398.25 ~. 42500-1398.25
CI = 43898.25 ~ 41101.75
In other words the confidence interval is from 41101.750 to 43898.250
To find a 90% confidence interval for the mean starting salary, use the formula CI = sample mean ± (Z * sample standard deviation / √n).
To find a 90% confidence interval for the mean starting salary, we will use the formula:
CI = sample mean ± (Z * sample standard deviation / √n)
Given that the sample mean is $42,500, the sample standard deviation is $6,800, and the number of college graduates is 64, we can substitute these values into the formula to calculate the confidence interval. The lower-bound is $41,101.87 and the upper-bound is $43,898.13.
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