The general direction that Lin walked from the gym to his house is; B: Lin walked southwest, creating an obtuse triangle.
<h3>How to interpret distance bearing?</h3>
We are given;
Distance between the lecture hall and gym = 910 feet.
Distance between the gym and Lin apostrophe's house = 615 feet.
Distance between the lecture hall and Lin apostrophe's house = 651 feet.
Now, since this 3 distances form a triangle and the 3 distances are unequal, then we can call it an obtuse triangle since he walked west and then walked northwest.
Now, since he walked back to his house from the gym, we can say that he walked southwest if we picture the bearing of his first two directions.
Read more about Distance Bearing at; brainly.com/question/22719608
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Answer:
C. 1 inch = 23 miles
Step-by-step explanation:
To find the scale, add the scale distances shown first.
2.25 + 1.75 = 4 inches on the map
Now, divide the actual mileage (92 miles) by how long it was on the map.
92 / 4
92 = 80 + 12
92/4 = (80/4) + (12/4)
92/4 = 20 + 3
92/4 = 23 miles
That means 1 inch on this map is actually 23 miles. So the scale of the map is 1 inch = 23 miles, which is C.
The pairs of shoes increases as the time the cobbler works increases
The equation of the pairs of shoes is y = kx
<h3>How to determine the equation?</h3>
The variation is a direct variation.
So, we have:
y = kx
Where:
- y represents the number of shoes
- x represents the time in hours
- k represents the proportionality constant
The cobbler can make 3 pairs of shoes in two hours,
So, we have:
k = 3/2
k = 1.5
Substitute k = 1.5 in y = kx
y = 1.5x
Hence, the equation of the scenario is y = kx
Read more about variation at:
brainly.com/question/26319473
Answer:
No, he can't use the independent-samples t test
Step-by-step explanation:
An independent samples t test is one where the means of two independent groups are compared in order to find out if there is statistical evidence that shows if there is any significant difference in the associated population means of the samples being researched.
Now, in this question, one group sample which is "gender" is independent while the other one which is "religious preferences" is dependent. Since they are both not independent, it does not fit into the definition of the independent-samples t test defined above where both have to be independent.
Thus, this method can't be used for the research in the question.
