The interest is computed from
... I = Prt
where P is the principal amount ($569), r is the rate (0.045) and t is the time in years (250/360).
... I = $569×0.045×250/360 ≈ $17.78
Please note that time is not rounded. Rather, the exact value (25/36) is used in the calculation. The only rounding of any number is done at the end, where the amount is rounded to the nearest cent. (Your text authors should know this.)
_____
If you follow the problem instructions (which Valerie's lender will not do), the interest is calculated as ...
... t = 250/360 = 0.6944444... ≈ 0.69 . . . . years
... I = $569×0.045×0.69 ≈ $17.67
_____
Note the rounding of intermediate numbers (time) introduces an error of about $0.11 in the answer.
Answer:$17.41 (A+)
Step-by-step explanation:
Jin (WWH) spends 18.55 for every 7 tacos he gets. That means he spends 18.55÷7 for every taco he gets.
18.55÷7 = 2.65
Now you need to find how much he spends for 15 tacos. If one taco is 2.65, you need to multiply 15 by 2.65 to find the price for 15 tacos.
2.65×15=39.75.
Jin will have to pay $39.75 for 15 tacos.
-distribution sill get taller and SD will decrease
-distribution will get shorter and SD will decrease
Distribution will get shorter and SD will increase
Answer:
Distribution will get taller and SD will decrease.
Step-by-step explanation:
Sample Size and Standard Deviation:
In a t-distribution, sample size and standard deviation are inversely related.
A larger sample size results in decreased standard deviation and a smaller sample size will result in increased standard deviation.
Sample Size and Shape of t-distribution:
As we increase the sample size, the corresponding degree of freedom increases which causes the t-distribution to like normal distribution. With a considerably larger sample size, the t-distribution and normal distribution are almost identical.
Degree of freedom = n - 1
Where n is the sample size.
The shape of the t-distribution becomes more taller and less spread out as the sample size is increased
Refer to the attached graphs, where the shape of a t-distribution is shown with respect to degrees of freedom and also t-distribution is compared with normal distribution.
We can clearly notice that as the degree of freedom increases, the shape of the t-distribution becomes taller and narrower which means more data at the center rather than at the tails.
Also notice that as the degree of freedom increases, the shape of the t-distribution approaches normal distribution.
In a t-distribution, as the sample size increases, the distribution becomes 'shorter', and the standard deviation decreases following the law of large numbers. The increased sample size reduces variability and introduces less deviation from the mean.
As the sample size increases for a t-distribution, the distribution tends to approach a normal distribution shape, which means the distribution will get 'shorter'. Additionally, the standard deviation (SD) would generally decrease as the sample size increases. This is due to the fact that when sample size increases, a smaller variability is introduced, hence less deviation from the mean.
To illustrate, imagine rolling a dice. If you roll it a few times, you may end up with quite a bit of variation. If you roll it a hundred times, however, the numbers should average out closer to the expected value (3.5 for a six-sided dice), and the standard deviation (a measure of variability) would decrease.
In conclusion, when the sample size increases, a t-distribution will get 'shorter' and SD will decrease. This concept is often referred as the law of large numbers.
#SPJ6
Answer:
37632
Step-by-step explanation:
An=A(1+12%)²
asnwerplsssssssss
Answer:
4(4x - 2) = x + 4
16x - 8 = x + 4
15x = 12
x = 12/15 = 4/5
Answer:
x = 0.8
Step-by-step explanation:
4(4x - 2) = x + 4
16x - 8 = x + 4
16x - x = 4 + 8
15x = 12
x = 0.8
Answer:
completing the square.
Step-by-step explanation:
trust me
Answer:
rules of algebra
A geometric proof involves writing reasoned, logical explanations that use definitions, axioms, postulates, and previously proved theorems to arrive at a conclusion about a geometric statement.