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Vsevolod [243]
4 years ago
15

Which of these is NOT a characteristic of a binomial experiment? A. What happens on one trial affects the probability on the nex

t: they are dependent events. B. Each trial results in one of two possible outcomes: success or failure. C. The coefficient of the binomial term can be determined using Pascal’s triangle. D. The probability of success () on a single trial is the same for all trials.
Mathematics
1 answer:
nignag [31]4 years ago
6 0

Answer:

A. What happens on one trial affects the probability on the next: they are dependent events.

Step-by-step explanation:

Below are some important characteristic of a binomial experiment:-

  • A binomial experiment has n trials.
  • Each trials has two possible outcomes. Success or failure.
  • The probability of success is same in very trail.
  • The event is independent event. In other words, the probability of one event doesn't effect the other.
  • The coefficient of the binomial term can be determined using Pascal’s triangle

Basis these characteristics, only the first option is not a properties of a binomial experiment. In case of binomial experiment, the event is independent event.

Hence, option A is correct.

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Answer: No

Step-by-step explanation:

If you graph all of the points onto a graph, it isn't a line.

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3 years ago
Solve the compound inequality: 3x ≤ 18 AND x + 4 > 2
dedylja [7]
There must be a mistake in your question:
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x > 2 - 4
x > - 2
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4 0
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Read 2 more answers
3.4=21 2.5=7. 4.4=؟​
Licemer1 [7]

Answer:

32

Step-by-step explanation:

From the given values

The possible logic could be

if x.y is given

then it is equal to=\frac{(x+y)\times x}{y-3}

For 1st example

3.4=\frac{(3+4) \times 3}{4-3} =\frac{21}{1} =21

For 2nd example

2.5=\frac{(2+5) \times 2}{5-3} =\frac{7 \times 2}{2} =7

⇒4.4=\frac{(4+4)\times 4}{4-3} =32

4 0
4 years ago
A random sample of 12 chemists from Washington stats shows an average salary of $39,420 with a standard deviation of $1659. A ra
cestrela7 [59]

Answer:

Step-by-step explanation:

Given that :

μ1 = 39420 ; σ1 = 1659 ; s1 = 12

μ2 = 30215 ; σ2 = 4116 ; s2 = 26

df1 = 12 - 1 = 11

df2 = 26 - 1 = 25

98 % confidence interval of the difference in sample means :

Pooled Variance :

S²p = ((df1 * s1²) + (df2 * s2²)) / (df1 + df2)

((11×1659^2)+(25×4116^2))÷(11+25) = 12605874.75

Standard Error :

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√(12605874.75/12) + (12605874.75/26)

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Answer:

Step-by-step explanation:

They have the same amount

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3 years ago
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