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3 years ago

Ello ... Random Question

Mathematics

2 answers:

BARSIC [14]3 years ago

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Hi i know the answrrrrr

frez [133]3 years ago

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Hi want my sc
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0.019 in scientific notation

liq [111]

Answer:

1.9x10^-2

hope this helps

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

To which sets of numbers does −1/4 belong? Select each correct answer.

Pachacha [2.7K]

-1/4 will be ration because all fractions are rational

8 0

3 years ago

Multiply the binomials: (w-9) • (w-4)

Novay_Z [31]

Answer:

w² - 13w + 36

Step-by-step explanation:

Given

(w - 9)(w - 4)

Each term in the second factor is multiplied by each term in the first factor, that is

w(w - 4) - 9(w - 4) ← distribute both parenthesis

= w² - 4w - 9w + 36 ← collect like terms

= w² - 13w + 36

3 0

3 years ago

4) Which number has the greatest absolute value? A. -15 B. 18 C. -21 D. 7

sleet_krkn [62]

C -21 because -21 as a absolute value is 21

3 0

3 years ago

A sample of 1500 computer chips revealed that 37% of the chips fail in the first 1000 hours of their use. The company's promotio

andreyandreev [35.5K]

Answer:

$z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59$

Step-by-step explanation:

Data given and notation

n=1500 represent the random sample taken

$\hat p=0.37$ estimated proportion of of chips fail in the first 100 hours

$p_o=0.39$ is the value that we want to test

$\alpha$ represent the significance level

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that the actual percentage that fail is different from the stated percentage. Find the value of the test statistic.:

Null hypothesis: $p=0.39$

Alternative hypothesis: $p \neq 0.39$

When we conduct a proportion test we need to use the z statisitc, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info requires we can replace in formula (1) like this:

$z=\frac{0.37 -0.39}{\sqrt{\frac{0.39(1-0.39)}{1500}}}=-1.59$

3 0

3 years ago