What is the scale factor ASAP and why

Harman [31]

Answer: 300

Explanation:

The upper quartile, or quartile 3, is the median of the upper half of the set. In this case, the upper quartile is 300.

5 0

3 years ago

Make 80/6 to a mixed number explain how u got your answer

Deffense [45]

Answer:

13 $\frac{1}{3}$

Step-by-step explanation:

The closest multiple of 6 less than 80 is 13.

13×6=78

How many are left over?

80 - 78 = 2

$\frac{2}{6}$ remains, and this can be simplified to $\frac{1}{3}$

13 $\frac{1}{3}$

Hope this helps!! (I know it sounds a little complicated but it's easy to understand it with practice :)

6 0

3 years ago

Read 2 more answers

The boiling point of water is 212 degrees Fahrenheit. Can this thermometer be used to record the temperature of a boiling pot of

Salsk061 [2.6K]

Yes because the thermometer reads temperatures higher than 2.12 degrees

4 0

3 years ago

Read 2 more answers

Bastien, Inc. has been manufacturing small automobiles that have averaged 50 miles per gallon of gasoline in highway driving. Th

alexira [117]

Answer:

We conclude that the the manufacturer's advertising campaign is not correct.

P-value of test = 0.067.

Step-by-step explanation:

We are given that an independent testing service road-tested 36 of the automobiles. The sample showed an average of 51.5 miles per gallon. The population standard deviation is 6 miles per gallon.

We have to conduct a test to determine whether or not the manufacturer's advertising campaign is legitimate.

Let $\mu$ = population average gasoline of new small cars in highway driving.

SO, Null Hypothesis, $H_0$ : $\mu$ $\leq$ 50 miles per gallon {means that the manufacturer's advertising campaign is not correct}

Alternate Hypothesis, $H_A$ : $\mu$ > 50 miles per gallon {means that the manufacturer's advertising campaign is correct}

The test statistics that will be used here is One-sample z test statistics as we know about the population standard deviation;

T.S. = $\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } }$ ~ N(0,1)

where, $\bar X$ = sample average gasoline = 51.5 miles per gallon

$\sigma$ = population standard deviation = 6 miles per gallon

n = sample of automobiles = 36

So, test statistics = $\frac{51.5-50}{\frac{6}{\sqrt{36} } }$

= 1.50

Now at 0.05 significance level, the z table gives critical value of 1.6449 for right-tailed test. Since our test statistics is less than the critical values of z as 1.50 < 1.6449, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.

Also, P-value is given by the following formula;

P-value = P(Z > 1.50) = 1 - P(Z $\leq$ 1.50)

= 1 - 0.93319 = 0.067 or 6.7%

Therefore, we conclude that the the manufacturer's advertising campaign is not correct as its new small cars average less than or equal to 50 miles per gallon in highway driving.

3 0

4 years ago

a prism has a volume of 512 cubic feet. the width is 8 feet. Could this prism be a cube why or why not

givi [52]

Volume of a cube is S^3

S is the width.

Volume = 8^3 = 512 cubic feet.

Because the volume of a cube with side length 8 feet = 512 cubic feet, the prism could be a cube.

8 0

3 years ago