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Softa [21]
2 years ago
7

Suppose the odds against winning the lottery as 48,000,000 to 1. What is the probability of the event of winning the lottery giv

en these odds?
Mathematics
1 answer:
kupik [55]2 years ago
8 0

The probability according to the given scenario will be "\frac{1}{48,000,001}".

According to the question:

  • The odds against winning the lottery are 48,000,000 to 1.
  • Favorable outcome = 1

→ The total outcome will be:

= 48,000,000 +1

= 48,000,001

As we know,

→ P(E) = \frac{Favorable \ outcomes}{Total \ outcomes}

By putting the values, we get

→           =\frac{1}{48,000,001}

Thus the above response is right.

Learn more about Probability here:

brainly.com/question/15739211

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Students in a statistics class are conducting a survey to estimate the mean number of units students at their college are enroll
Papessa [141]

Answer:

The 95% confidence interval for the average number of units that students in their college are enrolled in is between 11.7 and 12.5 units.

Step-by-step explanation:

We have the standard deviation for the sample, so we use the t-distribution to solve this question.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 45 - 1 = 44

95% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 44 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.95}{2} = 0.975. So we have T = 2

The margin of error is:

M = T\frac{s}{\sqrt{n}} = 2\frac{1.5}{\sqrt{45}} = 0.4

In which s is the standard deviation of the sample and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 12.1 - 0.4 = 11.7 units

The upper end of the interval is the sample mean added to M. So it is 12.1 + 0.4 = 12.5 units

The 95% confidence interval for the average number of units that students in their college are enrolled in is between 11.7 and 12.5 units.

8 0
3 years ago
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Answer:

82.8 cm measured to the nearest tenth of 80cm.

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