There are many ways to answer. The x represents some number. We don't know what the number is, but we know that it must be less than or equal to 50. Put another way, the number can be anything you want as long as it doesn't go past 50. We say that 50 is the so called "ceiling" more or less.
Some examples:
* An elevator can only hold 50 people at maximum. Therefore, x can be any number smaller than 50 or 50 itself. Having 51 or over will be too much.
* You can only work 50 hours for one stretch of some 2 week period. If x is the number of hours you work, then x must be 50 or less as written by 
. So x could be x = 37 as it's less than 50, but x = 62 is not possible.
* For some small ride at a theme park, the seats are designed such that only people 50 inches or less can ride on them. If x is the height of a person in inches, then means something like x = 37 is possible but x = 62 is too high.
In a statistics class, 10 scores were randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66.What
Lunna [17]
Answer:
We conclude that the lower limit of a box-and-whiskers display is 65.
We conclude that the upper limit of a box-and-whiskers display is 77.
Step-by-step explanation:
Definition: A box-and-whisker plot or boxplot is a diagram based on the five-number summarytext annotation indicator of a data set.
In a statistics class, 10 scores were randomly selected with the following results: 74, 73, 77, 77, 71, 68, 65, 77, 67, 66.
We conclude that the lower limit of a box-and-whiskers display is 65.
We conclude that the upper limit of a box-and-whiskers display is 77.
Answer:
ima say around 5 and 1/4 cups
Step-by-step explanation:
3 1/2 divided by 2/3 cand be round to
3 3/6 divided by 4/6 to make it easier
Answer:
63 cm²
Step-by-step explanation:
the area of ∆YXZ = 7 × 3² = 7×9 = 63 cm²
Answer:
0.0321
Step-by-step explanation:
This can be found by binomial probability distribution as the probability of success is constant. There are a given number of trials. the successive tosses are independent.
Here n= 5
The probability of getting a four in a roll of a die = 1/6
The probability of not getting a four in a roll of a die = 5/6
The probability of getting exactly three 4s in five throws is given by
5C3 (1/6)³ (5/6)² = 10 (0.0046) (0.694)= 0.0321
