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2 years ago

Usama needs to read 6 novels each month.

Mathematics

2 answers:

scoundrel [369]2 years ago

6 0

Answer:

78 novels

Step-by-step explanation:

=N ˣ M

=6 ˣ 13

=78

Delicious77 [7]2 years ago

5 0

Answer:

78 novels

Step-by-step explanation:

N= novels

M= month

6N = 1M

? = 13M

6N × 13M= 78NM

78NM ÷ 1M

cancel M, therefore;

the number of novels Usama needs to read in 13 months is 78.

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UNO [17]

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3 years ago

The distance between Dania and Hollywood is shown on the map. What is the actual distance between Dania and Hollywood?

pishuonlain [190]

Answer:

15 miles

Step-by-step explanation:

If there are 2.5 inches and 1 inch is 6 miles, then just multiply 6 by 2.5 to get 15

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3 years ago

Nancy has a big chocolate bar shaped like a rectangular prism. It is 15 centimeters long, 14 centimeters wide, and 2 centimeters

Leya [2.2K]

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Step-by-step explanation:

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$V=(length)(width)(thickness)$

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3 years ago

Based on historical data, your manager believes that 40% of the company's orders come from first-time customers. A random sample

Vedmedyk [2.9K]

Answer:

$P(0.26 \leq p \leq 0.43)=0.7204-0.0032=0.7172$

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

The population proportion have the following distribution

$p \sim N(p=0.4,\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.4(1-0.4)}{91}}=0.0514)$

And we can solve the problem using the z score on this case given by:

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

We are interested on this probability:

$P(0.26 \leq p \leq 0.43)$

And we can use the z score formula, and we got this:

$P(\frac{0.26 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}} \leq Z \leq \frac{0.43 -0.4}{\sqrt{\frac{0.4(1-0.4)}{91}}})$

$P(-2.726 \leq Z \leq 0.584)$

And we can find this probability like this:

$P(-2.726 \leq Z \leq 0.584)=P(Z$

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algol [13]

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5 0

3 years ago