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dmitriy555 [2]
2 years ago
5

Please help asap asap asap

Mathematics
2 answers:
Andrej [43]2 years ago
7 0

Answer:14

Step-by-step explanation:

malfutka [58]2 years ago
4 0

3 \times (4 + 6) - 16 =

3 \times (10) - 16 =

3 \times 10 - 16 =

(3 \times 10) - 16 =

30 - 16 =

14

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Orders for a computer are summarized by the optional features that are requested. The proportion of orders with no optional feat
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Answer:

(a) 71.00%

(b) 63.00%

Step-by-step explanation:

No optional features = 0.29

One feature = 0.34

Two features = 0.37

(a) The probability that an order requests at least one optional feature is 100% minus the probability of an order requesting no optional features:

P=1-0.29=0.71=71.00\%

(b) The probability that an order does not request more than one optional feature is 100% minus the probability of an order requesting two optional features:

P = 1 -0.37=0.63 = 63.00\%

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3 years ago
Suppose you have rolled a six-sided die fifty times and recorded the result of each roll.
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Using it's concept, it is found that the relative frequency  probability of rolling an even number based on this experiment is \frac{11}{25}.

A relative frequency is the <u>number of desired outcomes divided by the number of total outcomes</u>.

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  • 22 resulted in an even number, hence D = 22

The <u>relative frequency</u> is given by:

f = \frac{D}{T} = \frac{22}{50} = \frac{11}{25}

A similar problem is given at brainly.com/question/20630951

8 0
3 years ago
What is 904 divided by 16. Must show answer
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Step-by-step explanation:

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The Food and Drug Administration (FDA) produces a quarterly report called Total Diet Study. The FDA’s report covers more than 20
pav-90 [236]

Using the normal approximation to the binomial, it is found that:

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--------------------------------

Binomial probability distribution

Probability of exactly x successes on n repeated trials, with p probability.

Can be approximated to a normal distribution, with mean given by:  

E(X) = np

And standard deviation of:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution  

Z-score formula is used, which, in a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

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--------------------------------

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  • 80 samples, thus n = 80

The mean of X is of:

E(X) = np = 0.65(80) = 52

The standard deviation of X is of:

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Using the approximation and continuity correction, the probability is P(X < 40 - 0.5) = P(X < 39.5), which is the p-value of Z when X = 39.5. Thus:

Z = \frac{X - \mu}{\sigma}

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Z = -2.93

Z = -2.93 has a p-value of 0.0017, thus:

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A similar problem is given at brainly.com/question/24261244

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