Answer:
-8 hours/week
Step-by-step explanation:
Erik = 4 hours/week
Little Brother = 12 hours/week
How many more hours does Eric ride his bike during the week than his little brother?
Erik - Little Brother = (4 hrs/wk - 12 hrs/wk)
Erik rides his bike -8 hours/week more than his little brother.
Answer:
sheeeesh thas hard is like is like ion even know man ahaha
Answer:
Length = 7.05m
Step-by-step explanation:
Breadth is just a fancy word for width. We know that the width is 2.6 m and the total area is 18.33 m². We also know that the formula for the area of a rectangle is l*w, length times width. Remember, we are looking for l.
Set up an equation: l*w=A
Where:
- l = Length
- w = Width
- A = Area
Plug in the known values.
l*w=A
l * 2.6 = 18.33
Solve for l. Isolate the variable by dividing both sides of the equation by 2.6:
l = 7.05
You can easily check your work by finding l*w now that you know both values. Always remember to put the unit back into your answer! So your final answer should be l=7.05 m
Answer:
Step-by-step explanation:
<u>Permutations of "Panda"</u>
<u>Two of the 'Panda" s we can get as a result</u>
Answer:
Since we can't assume that the distribution of X is the normal then we need to apply the central limit theorem in order to approximate the 
with a normal distribution. And we need to check if n>30 since we need a sample size large as possible to assume this.
Based on this rule we can conclude:
a. n = 14 b. n = 19 c. n = 45 d. n = 55 e. n = 110 f. n = 440
Only for c. n = 45 d. n = 55 e. n = 110 f. n = 440 we can ensure that we can apply the normal approximation for the sample mean
for n=14 or n =19 since the sample size is <30 we don't have enough evidence to conclude that the sample mean is normally distributed
Step-by-step explanation:
For this case we know that for a random variable X we have the following parameters given:
Since we can't assume that the distribution of X is the normal then we need to apply the central limit theorem in order to approximate the with a normal distribution. And we need to check if n>30 since we need a sample size large as possible to assume this.
Based on this rule we can conclude:
a. n = 14 b. n = 19 c. n = 45 d. n = 55 e. n = 110 f. n = 440
Only for c. n = 45 d. n = 55 e. n = 110 f. n = 440 we can ensure that we can apply the normal approximation for the sample mean
for n=14 or n =19 since the sample size is <30 we don't have enough evidence to conclude that the sample mean is normally distributed
