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3 years ago

Question 3 Find 250% of 4.4

Mathematics

1 answer:

alexdok [17]3 years ago

8 0

Step-by-step explanation:

$\to \sf \: \: 250\% \: of \: 4.4 \\ \sf \to \frac{250}{100} \times \frac{44}{100} \\ \sf \to \: \frac{11 \cancel{000}}{10 \cancel{000}} \\ \sf \to \: \frac{11}{10} \\ \sf \to \: 1.1 \: ans.$

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Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimeters,

tiny-mole [99]

Answer:

Probability that the sample mean would be greater than 141.4 millimetres is 0.3594.

Step-by-step explanation:

We are given that Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimetres, and a standard deviation of 7.

A random sample of 39 steel bolts is selected.

Let $\bar X$ = sample mean diameter

The z score probability distribution for sample mean is given by;

Z = $\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } } }$ ~ N(0,1)

where, $\mu$ = population mean diameter = 141 millimetres

$\sigma$ = standard deviation = 7 millimetres

n = sample of steel bolts = 39

Now, Percentage the sample mean would be greater than 141.4 millimetres is given by = P( $\bar X$ > 141.4 millimetres)

P( $\bar X$ > 141.4) = P( $\frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } } }$ > $\frac{141.4-141}{\frac{7}{\sqrt{39} } } }$ ) = P(Z > 0.36) = 1 - P(Z $\leq$ 0.36)

= 1 - 0.6406 = 0.3594

The above probability is calculated by looking at the value of x = 0.36 in the z table which has an area of 0.6406.

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3 years ago

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gavmur [86]

Answer:

Step-by-step explanation:

Given function is,

f(x) = $\sqrt{x}$

If the given function is vertically stretched by a scale factor of $\frac{3}{2}$ Or 1.5,

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Further function 'h' is shifted 1 units upwards,

g(x) = h(x) + 1

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3 years ago

one-gallon jugs of water are shipped in cartons containing 12 jugs. how many cartons are needed for 876 jugs to be shipped?

lana66690 [7]

My best guess is that 73 cartons are needed. Here's how:

876/12 ( because the jugs are shipped in cartons containing 12) = 73

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