Answer:
$2000 is invested at 8%
$2000 is invested at 14%
Step-by-step explanation:
A total of $4000 is invested part at 8% and the remainder at 14%
Annual interest is $440.
Simple interest formula;
I = P × R × T
Where I is the interest, P is the principal, R is the rate and T is the time.
P = $4000
R = 8% and 14%
T = 1 year
I = $440
Let's say $a is invested at 8% and;
$b is invested at 14%
Then,
($a ×
× 1 ) + ($b ×
× 1) = $440
and
$a + $b = $4000
This forms a simultaneous equation;
0.08a + 0.14b = 440 ... (i)
a + b = 4000 ... (ii)
Multiplying (i) by 1 and (ii) by 0.08 we get;
0.08a + 0.14b = 440 ... (i)
0.08a + 0.08b = 320 ... (ii)
Subtracting (i) - (ii) we get;
0 + 0.06b = 120
0.06b = 120
b = 120 ÷ 0.06 = 2000
So amount invested at 14% ($b) = $2000 and,
The amount invested at 8% ($a) = $4000 - $2000 = $2000
Answer:
Here is the complete question attached with.
The mean score would decrease more than the median score.
Step-by-step explanation:
The numbers for which we have to find the mean and median are:

Here the mean, 
Median,
as median is the middle term if the observations are arranged in ascending order.
Now as the question says that we have to add a zero to see its effect.
So adding a zero we have
Mean 
Median
,as number of observations is even terms so we will add two middle numbers and divide it with
.
So we can conclude that the mean is having more variation than the median.
Mean shows as variation of
where as Median shows a variation of
only.
So our final answer is option D that is "The mean score would decrease more than the median score."
2 + 7 + 2 + 7 + 2 + 7 + 2 + 7 + 2 + 7 = 45
7 = 5 + 2
10 weeks
they have been saving their money for 10 weeks
Answer:

The critical value can be founded in the normal standard distribution table using the value of
and we got
. Replacing the info given we got:

Step-by-step explanation:
For this case we have the following info given:
represent the population deviation
represent the sample mean
represent the sample size
And we want to find the margin of error for a confidence level of 95%. So then the significance level would be
and
. The margin of error is given by:

The critical value can be founded in the normal standard distribution table using the value of
and we got
. Replacing the info given we got:

Answer: 5x 5y
Step-by-step explanation: because of the length