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hodyreva [135]
3 years ago
5

A standard number cube is rolled 288 times. Predict how many times a 3 or a 5 will be the result.

Mathematics
1 answer:
Anvisha [2.4K]3 years ago
5 0
The events of rolling a 3 or a 5 are disjoint, so \mathbb P\bigg((X=3)\cup(X=5)\bigg)=\mathbb P(X=3)+\mathbb P(X=5).

Each face has a \dfrac16 probability of occurring, so the event of interest occurs with probability \dfrac16+\dfrac16=\dfrac13. The number of times a 3 or 5 is rolled across 288 trials has a binomial distribution, \mathcal B\left(288,\dfrac13\right).

Recall that the expected value of a binomial distribution \mathcal B(n,p) is np. So in this experiment, we should expect to witness approximately \dfrac{288}3=96 instances of rolling a 3 or a 5.
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2 years ago
The stock of Company A gained $1.86 throughout the day and ended at a value of $94.86. By what percentage did the stock rise
Firlakuza [10]

Answer:

tTe answer is 1.96%

Step-by-step explanation:

given data

change in price/gain= $1.86

the closing price = $94.86

Required.

The percent rise.

Step two:

The formula for the percent rise is

=change/close price*100

substitute our given data

= 1.86/94.86*100

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4 0
3 years ago
Which list of numbers is ordered from least to greatest? A. 634,6.57,−6.53,−614 B. −6.53,−614,6.57,634 C. 634,6.57,−614,−6.53 D.
marusya05 [52]

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D

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
Which of the following estimates at a 95% confidence level most likely comes from a small sample
Nikitich [7]

Answer:

Answer is c

Step-by-step explanation:

In hypothesis testing whether to accept or reject null hypothesis, normally we find one method as using confidence interval.  If the test statistic lies within confidence interval, we accept otherwise we reject.

For arriving confidence intervals we add and subtract margin of error from the mean we use in null hypothesis.

Margin of error = std error * critical value of test (Z or t etc)

For the same std deviation, std error = std dev/sq rt of sample size

Thus std error is inversely proportional to the square root of sample size.

If n becomes larger, std error becomes smaller and vice versa.

So margin of error increases for smaller sample size.

Since we have to select confidence level from a small sample, we have to select one which has the greatest margin of error=18

Hence answer is

c)  71%(+/-18%)

5 0
3 years ago
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