Answer: 34%
Step-by-step explanation:
According to the Empirical rule,
About 68% of the population lies with in one standard deviation from the mean.
i.e. About 34% of the population lies above one standard deviation from the mean .
and About 34% of the population lies below one standard deviation from the mean.
Given : The distribution of the number of daily requests is bell-shaped ( i.e. Normally distribution) and has a mean of 60 and a standard deviation of 11.
i.e.
Using the Empirical Rule rule, 34% of the population of lightbulb replacement requests lies above one standard deviation from the mean .
i.e. About 34% of the population of lightbulb replacement requests lies between and
i.e. About 34% of the population of lightbulb replacement requests lies between and
i.e. About 34% of the population of lightbulb replacement requests lies between 60 and 71
Hence, the approximate percentage of lightbulb replacement requests numbering between 60 and 71 = 34%
Answer:
Step-by-step explanation:
This is one of the more interesting motion problems I've seen. I like it! If Kelly is driving north (straight up) for 9 miles, then turns east (right) and drives for 12 miles, what we have there are 2 sides of a right triangle. The hypotenuse is created by Brenda's trip, which originated from the same starting point as Kelly and went straight to the destination, no turns. We need the distance formula to solve this problem, so that means we need to find the distance that Brenda drove. Using Pythagorean's Theorem:
and
and
so
c = 15.
Brenda drove 15 miles. Now we can fill in a table with the info:
d = r x t
Kelly 12+9 42 t
Brenda 15 45 t
Because they both left at the same time, t represents that same time, whatever that time is. That's our unknown.
If d = rt, then for Kelly:
21 = 42t
For Brenda
15 = 45t
Solve Kelly's equation for t to get
t = 1/2 hr or 30 minutes
Solve Brenda's equations for t to get
t = 1/3 hr or 20 minutes
That means that Brenda arrived at the destination 10 minutes sooner than Kelly.
Answer:
A. Representative
Step-by-step explanation:
The sample is a subset of the population. We take samples because it is easy to analyze samples as compared to population and it is less time taken. Further, Sample is said to be good if the sample is the representative of the population.
Simple Random Sampling is the sampling where samples are chosen randomly, where each unit has an equal chance of being selected in a sample.
Since, observer is taken the weight of men over age 18. Thus, it is good sample which represent whole population.
Answer:
can't help you sorry
Step-by-step explanation:
can't help you sorry!