Answer(s):
For question one, I believe it would be False.
For question two, It will be the <u>Amount of payment.</u>
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<span>Susanne is 16 years old.</span>
b = Bob's age
s = Susanne's age
d = Dakota's age
Bob's age is 4 times greater than Susanne's age:
b = 4s
Dakota is three years younger than Susanne:
d = s - 3
The sum of Bob's, Susanne's, and Dakota's ages is 93:
b + s + d = 93
solve these equations:
b = 4s
d = s - 3
b + s + d = 93
and get:
b = 64 years
s = 16 years
(remember that s = Susanne)
d = 13 years
Answer:
Multiply by 3;9
Step-by-step explanation:
9/3=3
12/4=3
18/6=3
27/n=3
N=9
Answer:

Step-by-step explanation:
Hint- First we have to calculate the mean and standard deviation of the sample and then applying formula for confidence interval we can get the values.
Mean of the sample is,

Standard deviation of the sample is,

The confidence interval will be,

Here,
Z for 95% confidence interval is 1.96, and n is sample size which is 24.
Putting the values,



Confidence interval is used to express the degree of uncertainty associated with a sample.
95% confidence interval means that if we used the same sampling method to select different samples and calculate an interval, we would expect the true population parameter to fall within the interval for 95% of the time.