Answer:
Step-by-step explanation:
2.75g + 4.75r = 20.50
g = 2r
2.75(2r) + 4.75r = 20.50
5.50r + 4.75r = 20.50
10.25r = 20.50
r = 20.50 / 10.25
r = 2 <==== Aaron went on 2 rides
g = 2r
g = 2(2)
g = 4 <==== Aaron played 4 games
check...
2.75g + 4.75r = 20.50
2.75(4) + 4.75(2) = 20.50
11 + 9.5 = 20.50
20.50 = 20.50 (correct)
Answer:
The first 3 terms are -3, -2, -1
Step-by-step explanation:
n-4
First term: 1 - 4 = -3
Second term: 2 - 4 = -2
Third term: 3 - 4 = -1
Answer:
Not sure, guessing its 100 minutes total
Step-by-step explanation:
<h2>
Answer:</h2>
<em>You will bike 30.2 miles in the seventh day according to the prediction.</em>
<h2>
Explanation:</h2>
Here we have the following data, You bike
- 5 miles the first day of your training,
- 5.4 miles the second day,
- 6.2 miles the third day, and
- 7.8 miles the fourth day.
So we can know some facts:
- From the first day to the second day the number of miles increases:
![5.4-5=0.4mi](https://tex.z-dn.net/?f=5.4-5%3D0.4mi)
- From the second day to the third day the number of miles increases:
![6.2-5.4=0.8mi](https://tex.z-dn.net/?f=6.2-5.4%3D0.8mi)
- From the third day to the fourth day the number of miles increases:
![7.8-6.2=1.6mi](https://tex.z-dn.net/?f=7.8-6.2%3D1.6mi)
By taking a look at the pattern, we can see that each day you increases the number of miles by a factor of 2 compared to the previous day. So:
- From the fourth day to the fifth day the number of miles increases:
![x_{5}-7.8=3.2mi \\ \\ x_{5}=7.8+3.2=11mi, \ \text{Day 5}](https://tex.z-dn.net/?f=x_%7B5%7D-7.8%3D3.2mi%20%5C%5C%20%5C%5C%20x_%7B5%7D%3D7.8%2B3.2%3D11mi%2C%20%5C%20%5Ctext%7BDay%205%7D)
- From the fifth day to the sixth day the number of miles increases:
![x_{6}-11=6.4mi \\ \\ x_{6}=6.4+11=17.4mi, \ \text{Day 6}](https://tex.z-dn.net/?f=x_%7B6%7D-11%3D6.4mi%20%5C%5C%20%5C%5C%20x_%7B6%7D%3D6.4%2B11%3D17.4mi%2C%20%5C%20%5Ctext%7BDay%206%7D)
Finally:
- From the sixth day to the seventh day the number of miles increases:
![x_{7}-17.4=12.8mi \\ \\ x_{7}=12.8+17.4=30.2mi, \ \text{Day 7}](https://tex.z-dn.net/?f=x_%7B7%7D-17.4%3D12.8mi%20%5C%5C%20%5C%5C%20x_%7B7%7D%3D12.8%2B17.4%3D30.2mi%2C%20%5C%20%5Ctext%7BDay%207%7D)
Answer:
the normal distribution is a symmetric distribution with no skew. ... A left-skewed distribution has a long left tail. Left-skewed distributions are also called negatively-skewed distributions. That's because there is a long tail in the negative direction on the number line.