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lubasha [3.4K]
2 years ago
10

A spinner used for a game is divided into 3 sections: yellow, green, and orange. Janie spins the spinner 20 times. The spinner l

ands on green 8 times. What is the experimental probability that the spinner does NOT land on green?
Mathematics
2 answers:
azamat2 years ago
5 0
2/3 is the answer. Try not to overthink these answers because they’re usually quite simple in the end. :)
den301095 [7]2 years ago
4 0

Answer: \dfrac{3}{5}

Step-by-step explanation:

Given : A spinner used for a game is divided into 3 sections: yellow, green, and orange.

Janie spins the spinner 20 times.

The spinner lands on green 8 times.

It means , the number of times it does not land on green section = 20-8=12

Then, the experimental probability that the spinner does NOT land on green :-

\text{P(green)}=\dfrac{\text{Number of times spinner does not land on green}}{\text{Total number of times spinner spins}}\\\\=\dfrac{12}{20}=\dfrac{3}{5}

∴ Required probability = \dfrac{3}{5}

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In circle N, KL ≅ ML. What is the measure of ?
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This is the concept of geometry, for us to get the value of JM we will requires to get the value of x first;
From the diagram we have been told that;
KL=ML
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3 years ago
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Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I
dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06

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This is the pvalue of Z when X = 98.2. So

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

Z = \frac{98.2 - 98.6}{0.06}

Z = -6.67

Z = -6.67 has a pvalue of 0.

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Answer:

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Hello!

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I hope you have a SUPER day!

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3 years ago
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