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Liono4ka [1.6K]
3 years ago
9

0.9 ÷ 0.12

Mathematics
1 answer:
bagirrra123 [75]3 years ago
4 0

Answer:

\displaystyle 7\frac{1}{2}

Step-by-step explanation:

Turn the decimals into simplifies fractions first:

\displaystyle \frac{9}{10} \div \frac{3}{25} = \frac{9}{10} \times \frac{25}{3} = \frac{225}{30} = 7\frac{15}{30} = 7\frac{1}{2} \\ \\ OR \\ \\ \frac{\frac{9}{10}}{\frac{3}{25}} = \frac{3}{\frac{2}{5}} = 3 \times \frac{5}{2} = \frac{15}{2} = 7\frac{1}{2}

* 7½ = 7,5

I am joyous to assist you anytime.

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In spring 2014, faculty from the City University of New York (CUNY) reported on a randomized controlled trial they conducted. Th
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Answer:

Explanatory variable: Extra support by faculties

Response variable: whether community college students who have assess into elementary algebra could be successful if they were placed directly into college-level statistics.

Confounding Variable: Ability of students to get passing grades.

It is an experiment to check if the hypothesis is true.

Step-by-step explanation:

An explanatory variable is a type of independent variable. An explanatory variable is that variable that explains changes in another variable. It can be anything that might affect the response variable. The explanatory variable is used to predict or explain differences in the response variable. In an experimental or research study, the explanatory variable is the variable that is manipulated by the researcher.

From the information given,

Explanatory variable: Extra support by faculties.

The response variable is also known as the dependent/outcome variable. Here, its value can be predicted or its variation can be explained by the explanatory variable. In an experimental study, this is the outcome that is measured after manipulation of the explanatory variable

From the question above,

Response variable: whether community college students who have assess into elementary algebra could be successful if they were placed directly into college-level statistics.

A confounding variable is that outside influence that changes the effect of a dependent and independent variable. This extraneous influence is often used to influence the outcome of an experimental design. The Confounding Variable in the above is:

Confounding Variable: Ability of students to get passing grades.

It is an experiment to check if the hypothesis is true.

6 0
2 years ago
Original price is $16.45, markdown is 33%. The sales price is (only use numbers): $
brilliants [131]

Answer:

$11.02

Step-by-step explanation:

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2 years ago
What is 60- 0.3 answer?
balu736 [363]
Your answer will be 59.7
3 0
2 years ago
Read 2 more answers
The Ferris wheel is the most popular ride. In 1 hour, the Ferris wheel had 240 riders. If that was 60% of the total number of ri
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Answer:

400 riders

Step-by-step explanation:

The Ferris wheel had 400 riders.

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4 0
3 years ago
Read 2 more answers
There are 4 people at a party. Consider the random variable X=’number of people having the same birthday ’ (match only month, N=
yulyashka [42]

Answer:

S = {0,2,3,4}

P(X=0) = 0.573 , P(X=2) = 0.401 , P(x=3) = 0.025, P(X=4) = 0.001

Mean = 0.879

Standard Deviation = 1.033

Step-by-step explanation:

Let the number of people having same birth month be = x

The number of ways of distributing the birthdays of the 4 men = (12*12*12*12)

The number of ways of distributing their birthdays = 12⁴

The sample space, S = { 0,2,3,4} (since 1 person cannot share birthday with himself)

P(X = 0) = \frac{12P4}{12^{4} }

P(X=0) = 0.573

P(X=2) = P(2 months are common) P(1 month is common, 1 month is not common)

P(X=2) = \frac{3C2 * 12P2}{12^{4} } + \frac{4C2 * 12P3}{12^{4} }

P(X=2) = 0.401

P(X=3) = \frac{4C3 * 12P2}{12^{4} }

P(x=3) = 0.025

P(X=4) = \frac{12}{12^{4} }

P(X=4) = 0.001

Mean, \mu = \sum xP(x)

\mu = (0*0.573) + (2*0.401) + (3*0.025) + (4*0.001)\\\mu = 0.879

Standard deviation, SD = \sqrt{\sum x^{2} P(x) - \mu^{2}}  \\SD =\sqrt{ [ (0^{2} * 0.573) + (2^{2}  * 0.401) + (3^{2} * 0.025) + (4^{2} * 0.001)] - 0.879^{2}}

SD = 1.033

4 0
3 years ago
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