Answer:
1) area = 216 cm squared
2) 21.6 or 22 tiles rounded up
Step-by-step explanation:
Answer:
27.7% if I am correct, but I am confident I am
Answer:
Step-by-step explanation:
To find the inverse of a function in equation form, first I recommend changing the f(x) to a y:
y = -6x + 6
Next step is to switch the x and y:
x = -6y + 6
Now solve for the new y:
x - 6 = -6y and
You can put the inverse notation back in for y like I did in the answer section above.
A bicycle is traveling at 16 miles per hour it covers 821.33 ft in 35 seconds.
It is required to find How many feet will it cover in 35 seconds.
<h3>What is conversion?</h3>
conversion is the process of changing the value of one form to another for example inches to millimeters, or liters to gallons. Units are used for measuring length, measuring weight, measuring capacity, measuring temperature, and measuring speed.
Given that:
1 hour = 60min×60sec = 3600 sec
1 miles = 5280 feet
16 miles = 16×5280ft = 84480 ft
3600sec ................. 84480 ft
35sec ................................ x ft
x = 35×84480/3600
=2956800 /3600
= 821.33 feet.
Hence, a bicycle is traveling at 16 miles per hour it covers 821.33 ft in 35 seconds.
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The steps to use to construct a frequency distribution table using sturge’s approximation is as below.
<h3>How to construct a frequency distribution table?</h3>
The steps to construct a frequency distribution table using Sturge's approximation are as follows;
Step 1: Find the range of the data: This is simply finding the difference between the largest and the smallest values.
Step 2; Take a decision on the approximate number of classes in which the given data are to be grouped. The formula for this is;
K = 1 + 3.322logN
where;
K= Number of classes
logN = Logarithm of the total number of observations.
Step 3; Determine the approximate class interval size: This is obtained by dividing the range of data by the number of classes and is denoted by h class interval size
Step 4; Locate the starting point: The lower class limit should take care of the smallest value in the raw data.
Step 5; Identify the remaining class boundaries: When you have gotten the lowest class boundary, then you can add the class interval size to the lower class boundary to get the upper class boundary.
Step 6; Distribute the data into respective classes:
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