Given: =
Awnser: tan theta 15/8.
Step-by-step explanation:
AC = 17
AB = 15
BC = ?
By Pythagoras theorem:
AC² = AB² + BC²
17² = 15² + BC²
289 = 225 + BC²
BC² = 289 – 225
BC² = 64
BC = √64
BC = 8
The value of tanθ = 15/8
Answer:
I would say C, None of the above.
Step-by-step explanation:
Due to the fact that it says 8-1, so the number line should go to 8 down to 7.
Answer/Step-by-step explanation:
To solve the given expression, , the following steps as well as justification for each step is given below:
Step 1: state the given expression
(given)
Step 2: solve for x by subtracting 12.7 from each side of the equation.
Step 3: Apply the additive inverse rule and simplify (i.e the additive inverse of 12.7 is -12.7. when added, it gives us 0)
(additive inverse/simplification)
Step 4: additive identity rule (i.e. the 0 added to x = 0)
(identity property of addition)
Answer:
tridecagon/triskaidecagon
Explanation:
sum of interior angles= <span>180<span>(n−2)</span></span> degrees, n being the number is sides in the polygon.
sum of interior angles= 1980
<span>180<span>(n−2)</span>=1980</span>
divide by 180:
<span>n−2=<span>1980180</span>=11</span>
add 2:
<span>n=11+2=13</span>
If a polygon has 13 sides, it is called a tridecagon or a triskaidecagon.
Answer:
p = 0.07
p-hat = 0.035
p0 = 0.07
p-value = 0.003
Step-by-step explanation:
p = population parameter, in this case, the rate of infestations across all trees in the forest
p-hat = test statistic, in this case, the rate of infestations found in the sample of trees, i.e. those in Doug's backyard
p0 = the null hypothesis, in this case, the rate of infestations within the forest is correctly evaluated at 0.07 or 7%
p-value = the likelihood any difference between p and p-hat is down to chance
In this case 0.003 as the p-value means there is only 0.3% probability of our statistic value of 0.035 being down to variability and chance meaning it is 99.7% likely that there is some reason behind this difference;
We would accept the alternative hypothesis which says the current parameter value, 0.07, is in fact incorrect (either too high or too low, in this case, likely too high).