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Illusion [34]
3 years ago
10

40 pounds of sugar are repackaged of 1/16 pounds each. how many packet of sugar are there?

Mathematics
1 answer:
jarptica [38.1K]3 years ago
8 0
We know to each pound of such, there is 16 packets produced per?

So, 16 x 40 = 640.
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Which of the following inequalities matches the graph?
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Answer:

Step-by-step explanation:

y=2x+2

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Is 14 200 000 in scientific notation 1.42 10x,5
Elan Coil [88]

Yes, the rules of scientific notation are:

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2. Zeros in between non-zeros are significant.

3. Zeros to the left of the first non-zero number are NOT significant.

4. Zeros to the right of non-zero numbers are significant IF a decimal point is present.

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6 0
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Please help me! I'll give brainiest again!
mel-nik [20]

Answer:

48 cubic units.

Step-by-step Explanation:

x=4

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4 0
3 years ago
Read 2 more answers
Ok im sorry for the ppl who keep answering my questions. I'm trying to get an A in math thank you for helping me!!! also im runn
Alex777 [14]

Answer:

<h2>56.52 {in}^{3}</h2>

Step-by-step explanation:

<em><u>Given</u></em><em><u>,</u></em>

Diameter of the bowl = 6 in

Radius of the bowl = 6 ÷ 2 = 3 in.

Height of the bowl = 2 in.

<em><u>Therefore</u></em><em><u>, </u></em>

Volume of the bowl to hold water ,

= \pi {r}^{2} h

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8 0
3 years ago
A researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOs) of major corpor
sesenic [268]

Answer:

Null Hypothesis, H_0 : \mu = 136 mm Hg  

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg

In this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Step-by-step explanation:

We are given that the mean systolic blood pressure, μ, of CEOs of major corporations is different from 136 mm Hg, which is the value reported in a possibly outdated journal article.

He measures the systolic blood pressures of a random sample of CEOs of major corporations and finds the mean of the sample to be 126 mm Hg and the standard deviation of the sample to be 18 mm Hg.

So, Null Hypothesis, H_0 : \mu = 136 mm Hg     {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Alternate Hypothesis, H_A : \mu\neq 136 mm Hg      {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}

Type I error states that the null hypothesis is rejected when in fact the null hypothesis was true. So, in this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.

Suppose the researcher decides not to reject the null hypothesis. It means the researcher is making a type I error.

7 0
3 years ago
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