Lake Superior is the largest of the Great Lakes it covers a surface area of about 30,000 square miles. How can you show the esti
2 answers:
Answer:
The area would be,
Step-by-step explanation:
Since, a very large or very small number can be written as the product of whole number and exponent ( a power ) of ten,
If a number is very large then we move the decimal to left side so that we get a whole number then the number of shifting is the power of ten,
While when we shift the decimal to the right side then the exponent of 10 is negative.
Here, the given number,
30,000 square miles,
The number of shifting to the left so that we get a whole number is 4,
By the above statement,
30,000 =
Hence, the estimated area of the lake would be square miles
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9514 1404 393
Answer:
x = 5, x = 11
Step-by-step explanation:
Set f(x) = 0 and solve for x.
0 = (x -8)² -9
9 = (x -8)² . . . . . add 9
±√9 = x -8 . . . . . take the square root
±3 +8 = x . . . . . . . add 8
That is, ...
x = 8 -3 = 5 . . . . lesser x
x = 8 +3 = 11 . . . greater x
Answer:
The hypothesis statements are: H0: p = 0.88 versus HA : p < 0.88
The p-value of the test is 0.2483 > 0.1, which means that the data does not provide sufficient evidence to conclude that the proportion of times that luggage is returned within 24 hours is less than 0.88.
Step-by-step explanation:
Test if the proportion of times that luggage is returned within 24 hours is less than 0. 88
At the null hypothesis, we test if the proportion is of 0.88, that is:
At the alternate hypothesis, we test if this proportion is less than 0.88, that is:
The hypothesis statements are: H0: p = 0.88 versus HA : p < 0.88
The test statistic is:
In which X is the sample mean, is the value tested at the null hypothesis,
is the standard deviation and n is the size of the sample.
0.88 is tested at the null hypothesis:
This means that
A consumer group who surveyed a large number of air travelers found that 138 out of 160 people who lost luggage on that airline were reunited with the missing items by the next day.
This means that
Test statistic:
P-value of the test:
The p-value of the test is the probability of finding a sample proportion below 0.8625, which is the p-value of z = -0.68.
Looking at the z-table, the p-value of z = -0.68 is of 0.2483.
The p-value of the test is 0.2483 > 0.1, which means that the data does not provide sufficient evidence to conclude that the proportion of times that luggage is returned within 24 hours is less than 0.88.