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3 years ago

there are 365,493 blue pens In the pen warehouse, and 549,384 black pens. how many pens are therein all?

Mathematics

2 answers:

mrs_skeptik [129]3 years ago

6 0

There were 914,877 pens in all

sattari [20]3 years ago

5 0

914,877. Also, a calculator would be helpful.

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What does 3/4 x 24 = ?

IrinaK [193]

Well, 1/4 of 24 gets us 6 (since 24 = 6 x 4), so 3/4 should get us 6 × 3 = 18.

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4 years ago

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If two lines are perpendicular to each other their slopes are

Anarel [89]

Positive slope and negative slope so one line is negative and the other is positive

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4 years ago

In studies examining the effect of humor on interpersonal attractions, McGee and Shevlin (2009) found that an individual’s sense

son4ous [18]

Answer:

The calculated value t = 2.038< 2.145 at 0.05 level of significance

Null hypothesis is accepted

There is the average rate is less than μ ≤ 4

Step-by-step explanation:

Step(i):-

The Population of the mean 'μ' =4

sample size 'n' = 16

sample mean 'x⁻' = 4.53

given sample standard deviation 's' = 1.04

level of significance α = 0.05

Step(ii):-

Null hypothesis:H₀ : There is no significance difference between two means

Alternative hypothesis : H₁: There is significance difference between two means

Test statistic

$t = \frac{x^{-} - mean}{\frac{S}{\sqrt{n} } }$

$t = \frac{4.53-4}{\frac{1.04}{\sqrt{16} } }$

t = 2.038

Degrees of freedom ν = n-1 = 16-1 =15

t₀.₀₂₅ = 2.145

Conclusion:-

The calculated value t = 2.038< 2.145 at 0.05 level of significance

Null hypothesis is accepted

There is the average rate is less than μ ≤ 4

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3 years ago

You want to estimate the mean weight loss of people one year after using a popular weight-loss program being advertised on TV. H

maria [59]

Answer:

At least 6907 people.

Step-by-step explanation:

Population std deviation = sigma= 10.6

Since population std deviation is known, we can use normal probability table to get sample size from confidence interval.

The sample mean weight loss is within 0.25 lb of the true population mean.

Hence margin of error < 0.25

Margin of error = z critical (std dev/n) where n = sample size

Z critical for 95% = 1.96

Hence 0.25 >1.96(10.6)/sq rt n

Simplify to get

sq rt n > 1.96(10.6)/0.25 = 83.104

Square both the sides to get

n > 83.104 square = 6906.27

i.e. sample size should be atleast 6907.

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3 years ago

Ayden had a goal of finishing painting at least 80% of the 500 square meters of a house's wall by today. He actually finished pa

Kisachek [45]

Hey You!

We must know what 80% of 500 is:

500 * 80% = 400

Ayden did meet is goal, because his goal was 400 and he painted 415 squares (Which is beyond his goal).

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4 years ago