The total pounds of shrimp they catch is 9.625 pounds
<h3>Sum of values and decimals</h3>
Decimal number are numbers that has decimal points. Given the following information;
The total shrimp Spencer catch = 2 pounds
The total shrimp Jaclyn catch = 3.25 pounds
The total shrimp Ayden catch = 4.375 pounds
Determine the total pounds of shrimp they catch
Total shrimp = 2 + 3.25 + 4.375
Total shrimp = 9.625 pounds
Hence the total pounds of shrimp they catch is 9.625 pounds
Learn more on sum of decimals here; brainly.com/question/1827193
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Answer:
m<D = 105
Step-by-step explanation:
So, Triangle STU and DEF are similar triangles, because their corresponding side lengths have the same ratio.
For example FD can be multiplied by 2.5 to get SU, and EF can be multiplied by 2.5 to get TU, and ED can me multiplied by 2.5 to get 15.
Anyways, since the two triangles are similar, they have the same angle measures, meaning that angle D can be found by subtracting 46 and 25 from 180 degrees to find the missing angle, which is 105 degrees. I hope that helps.
Take the coefficient of the x-term, half it, then square that. add this to both sides
x² + 16x. coefficient of x is 16. half of 16 is 8. 8²=64
x² + 16x + 64 =64. this is your answer but to continue
x² + 16x + 64 = 64
(x+8)² = 64
x+8 = ✓64
x+ 8 = ±8
x = 0 or -16
The radius of a circle is found by doing this :
circumference ÷ 6.28 = radius
The circumference here is 17.27 feet :
circumference ÷ 6.28 = radius
so
17.27 ÷ 6.28 = 2.75
The radius of the circle is 2.75 feet.
Answer:
The median of the distribution is (first option);
1
Step-by-step explanation:
The values on the given table are presented as follows;
To find the median, we calculate the cumulative probabilities to find the value of the spin art which the cumulative probability is 0.5 as follows;
Cumulative probability, starting from the left, is therefore;
Probability for spin of 0, 0.4 + Probability for spin of 1, 0.2 = 0.6
Therefore, given that the probability of 0.5 occurs within the Value of Spin 1, the median of the probability distribution is 1
