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Anni [7]
3 years ago
11

Which of the following lists of fractions are in order from least to greatest? Select TWO that apply.

Mathematics
2 answers:
marysya [2.9K]3 years ago
8 0
I’m sure it is 1/4 2/3 3/10 I don’t know the second though. Have a great day good luck
lora16 [44]3 years ago
4 0

Answer:

i think its a 1/4 then 2/3 and 3/10

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The Stomping Elephants volleyball team plays 30 matches in a week-long tournament. On average, they win 4 out of every 6 matches
8_murik_8 [283]

Answer:

The mean for the number of matches that they win in the tournament is 20.

Step-by-step explanation:

For each match, there are only two possible outcomes. Either they win, or they do not. The probability of winning a match is independent from other matches. So we use the binomial probability distribution to solve this problem.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

E(X) = np

The Stomping Elephants volleyball team plays 30 matches in a week-long tournament.

This means that n = 30

On average, they win 4 out of every 6 matches.

This means that p = \frac{4}{6} = \frac{2}{3}

What is the mean for the number of matches that they win in the tournament?

E(X) = np = 30\frac{2}{3} = 20

The mean for the number of matches that they win in the tournament is 20.

8 0
2 years ago
What is 0.9 written as a percent
ryzh [129]
0.9 = 90%.

<span>0.9 in percent = 0.9 x 100% = 90%</span>
3 0
3 years ago
Read 2 more answers
Archaeopteryx is an extinct beast having feathers like a bird but teeth and a long bony tail like a reptile. Only six fossil spe
Vadim26 [7]

Answer:

In this scenario, we will use the <u>femur or the thigh</u> bone length as the explanatory variable.

Step-by-step explanation:

Dependent variables are those variables that are under study, i.e. they are being observed for any changes when the other variables in the model are changed.

The dependent variables are also known as response variables.

Independent variables are the variables that are being altered to see a proportionate change in the dependent variable. In a regression model there can be one or more than one independent variables.

The independent variables are also known as the explanatory variables.

Scientifically it is believed that the length of arm and legs are related and basically grow at the same time.

So, in this case the explanatory variable can either of the two bone lengths.

Thus, the complete statement is:

"In this scenario, we will use the <u>femur or the thigh</u> bone length as the explanatory variable."

8 0
3 years ago
A cuboid measures 6cm by 3cm by 2cm<br><br> Draw a net of the cuboid
Tresset [83]

Answer:

See attachment for cube

Step-by-step explanation:

Given

Length = 6cm

Width = 3cm

Height = 2cm

Required

The net of the cuboid

A cuboid has 6 faces.

The dimension of these faces are:

Length and Width; Length and Height;

Length and Width; Length and Height;

Width and Height; Width and Height;

This means that the faces will have the following dimensions:

6cm by 3cm; 6cm by 2cm

6cm by 3cm; 6cm by 2cm

3cm by 2cm; 3cm by 2 cm

Taking into account the above measurements and dimensions, you draw 6 faces, then join similar sides lengths.

<em>See attachment for net of the cuboid</em>

4 0
3 years ago
a statistics professor finds that when he schedules an office hour at the 10:30a, time slot, an average of three students arrive
Veseljchak [2.6K]

Answer:

The probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

Step-by-step explanation:

Let <em>X</em> = number of students arriving at the 10:30 AM time slot.

The average number of students arriving at the 10:30 AM time slot is, <em>λ</em> = 3.

A random variable representing the occurrence of events in a fixed interval of time is known as Poisson random variables. For example, the number of customers visiting the bank in an hour or the number of typographical error is a book every 10 pages.

The random variable <em>X</em> is also a Poisson random variable because it represents the fixed number of students arriving at the 10:30 AM time slot.

The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 3.

The probability mass function of <em>X</em> is given by:

P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0,1,2,3...,\ \lambda>0

Compute the probability of <em>X</em> = 2 as follows:

P(X=2)=\frac{e^{-3}3^{2}}{2!}=\frac{0.0498\times 9}{2}=0.2241

Thus, the probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

6 0
3 years ago
Read 2 more answers
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