<span>So we need to find the value of 8.3*24.2*0.03 and round it to the nearest hundredth. So lets multiply the numbers first: 8.03 * 24.2 * 0.03 = 6.0258 and now we need to round it to the nearest hundreth. The nearest hundreth is .03 and we get: 6.03 so the correct answer is D.</span>
Answer:
Natalie Spent $59.54 on songs after 5 months at online music service.
Step-by-step explanation:
Total membership cost =$14.99
Number of songs purchased in each month = 9
Cost per song = $0.99
We need to find total amount she had spent after 5 months.
Solution:-
So First we will Number of songs purchased in 5 months.
1 month = 9 songs
So in 5 months = Songs purchased in 5 months.
By Using Unitary method we get;
Songs purchased in 5 months =
Now Also Given:
1 song = $0.99
45 songs = Cost for 45 songs.
Again by using Unitary method we get;
Cost for 45 songs =
No Total Amount Natalie spent after 5 months is equal to Total membership cost plus Cost of songs purchased in 5 months.
framing in equation form we get;
Total Amount Natalie spent =
Hence Natalie Spent $59.54 on songs after 5 months at online music service.
Answer:
124 degrees warmer
Step-by-step explanation:
i think
Answer:
A. 42, 120, 162
Step-by-step explanation:
27 x 6 = 162
or
42 + 120 = 162
<span>What is the solution of the system? y=9x-2 y=7x+3
b.(5/2,41/2)
The table below shows the height (in inches) and weight (in pounds)of eight basketball players.
Height=67, 69, 70, 72, 74, 78, 79 Weight=183, 201, 206, 240, 253, 255 what is the correlation of the set of data? Round your answer to the nearest thousandth.
d.0.981
3.The table below shows the average height of a species of tree (in feet) after a certain number of years.
Years=1, 2, 3, 4, 5, 6, 7, 8 Height=2.1, 3.2, 6.8, 7.3, 11.2, 12.6, 13.4, 15.9 about how tall would you expect one of these trees to be after 22 years?
c.44.25ft
4.You use a line of best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your data set is 0.984. How confident can you be that your predicted value will be reasonably close to the actual value?
c.I can be very confident; it will be close, but it probably won't be exact.
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