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Oliga [24]
3 years ago
11

A spinner is divided into four sections of equal size, numbered 1, 2, 3, and 4. You spin it three times, and get 1, 4, and 3. Wh

ich statement is FALSE?
Mathematics
1 answer:
N76 [4]3 years ago
7 0

Answer:

hello your question lacks the required statements here are the statements

A spinner is divided into four sections of equal size, numbered 1, 2, 3, and 4. You spin it three times, and get 1, 4, and 3. Which statement is FALSE?

A. The theoretical probability of a 1 is 25%.

B. The experimental probability of a 1 is 25%.

C. If you spin the same spinner again and get different results, the experimental probabilities are different, but the theoretical probabilities have not changed.

D. The experimental probability of a 2 is 0%.

Answer : The experimental probability of a 1 is 25%  ( B )

Step-by-step explanation:

The first statement is true because since the spinner is divided into 4 sections  the theoretical probabilty is equal for all sections i.e 25% each

The second statement is false because after spinning the spinner three times ( experimental ) the results obtained were 1,4,3 hence the experimental probability of 1 would be 33.3%

the theoretical probabilities remains unchanged but the experimental probabilty can change

the experimental probabilty of 2 is 0% because after the 3 experiments the number 2 did not show up

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A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

              Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = true proportion = 0.04

           n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the sample proportion will be less than 0.03 is given by = P( \hat p < 0.03)

       P( \hat p < 0.03) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } } ) = P(Z < -1.27) = 1 - P(Z \leq 1.27)

                                                                      = 1 - 0.89796 = 0.10204

Now, in the z table the P(Z \leq x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

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3 years ago
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