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Gennadij [26K]
4 years ago
8

Setting:

Mathematics
2 answers:
wariber [46]4 years ago
7 0

a. No because he only surveyed those who were leaving and not a whole set.

b. It sounds biased because he uses the word "<em>lengthy</em>" which means long, and sounds opinionated.

c.  54-51 = 3

3 divided by 54 = 0.055

0.055 x 100 = 5.5

nata0808 [166]4 years ago
6 0
A. Mr. Kent interviewed the 54 students as they are going to leave the school, it is not considered to be a random sample. It is because a random sample is when a set is taken from a population. Mr. Kent interviewed the 54 who are going to leave, meaning, he didn't take a set out of that 54, he took all of them. So it is not a random sample.

b. The question that Mr. Kent asked is considered to be a leading question, so it does not seem biased.

c. If there are 54 respondents.
51 = yes, the rest is no.
= 54 - 51 = 3
= 3 is now divided to 54 = 3/54
= giving an answer of 0.0555
= 0.0555 x 100
= 5.6%
= The percent of responses that says 'no' is 5.6%

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There is needed around 311 balloons to fulfill Mr. Schordine’s dream of flight.

Step-by-step explanation:

First, we need to calculate the volume of each balloon by considering the balloons as a sphere:    

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Where:

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V = \frac{4}{3}\pi r^{3} = \frac{4}{3}\pi (0.4 m)^{3} = 0.27 m^{3}

Knowing that 1 m³ of helium is able to lift about 1 kg, that Mr. Schordine weights 84 kg, and that each ballon has 0.27 m³ of helium, the number of balloons needed are:

N = \frac{1 m^{3}}{1 kg}*84 kg*\frac{1 balloon}{0.27 m^{3}} = 311.1 \: balloon              

Therefore, there is needed around 311 balloons to fulfill Mr. Schordine’s dream of flight.      

 

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Diagram of x+3 and of 2x when x is 2
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If data for a time series analysis are collected on an annual basis only, which pattern can be ignored? a. horizontal b. seasona
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Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time

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A horizontal pattern exists when the data fluctuate randomly around a constant mean over time.

A trend pattern exists when there is a long-term increase or decrease in the series.

The cyclical component of a time series refers to fluctuations around the trend, excluding the irregular component, revealing a succession of phases of expansion and contraction

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