Hello!
I'll start w/ 18.74 to round. To round 18.74, the 4 wouldn't have any effect raising the 7's value, since anything 4 and below won't increase the number's value. Now you just have 18.7. The 7 will increase the 8's value to a 9, since anything 5 and up will increase the rounded number's value. So 18.74 is now rounded up to 19.
For 41.49, you'll round the 4 to a 5, since 9 will increase the value of the 4. Now you have 41.5. The newly rounded 5 will then increase the 1's value, making it a 2. So now 41.49 is now rounded up to 42.
You can now estimate the sum by adding 19 w/ 42 to get an estimate of 61!
I hope this helps!!!
The speed of the first car was 6 miles/hour
<h3>Further explanation</h3>
Acceleration is rate of change of velocity.


<em>a = acceleration ( m/s² )</em>
<em>v = final velocity ( m/s )</em>
<em>u = initial velocity ( m/s )</em>
<em>t = time taken ( s )</em>
<em>d = distance ( m )</em>
Let us now tackle the problem!
<u>Given:</u>
Distance between two cars = d = 10 miles
Time Taken = t = 1 hour
Distance covered by the first car = d₁ = 2 + d₂
<u>Unknown:</u>
Speed of the first car = v₁ = ?
<u>Solution:</u>










<h3>Learn more</h3>
<h3>Answer details</h3>
Grade: High School
Subject: Physics
Chapter: Kinematics
Keywords: Velocity , Driver , Car , Deceleration , Acceleration , Obstacle
The is a subtraction equation, so the smaller number from the bigger number.
1743 - 576 = 1167 :3
Answer:
The probability of finding a sample mean less than 18 hours is 0.0082
Step-by-step explanation:
To find the probability of finding a sample mean less than 18 hours, we need to calculate the z-score of this sample mean 18. And the probability of finding a sample mean less than 18 hours is P(z<z(18)).
Z-score can be calculated as follows:
z(18)=
where
- X is the sample mean (18 hours)
- M is the average hours dentists spend per week on fillings (20 hours)
- s is the standard deviation (10 hours)
- N is the sample size (144)
Putting the numbers, we get:
z(18)=
Using z- table we can find that P(z<z(18)) = 0.0082