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irina1246 [14]
3 years ago
10

Will surveyed students at his school about whether they have ever gone snowboarding and whether they own a skateboard. He found

that 35 of the 99 students who own a skateboard have snowboarded. Also, there were 13 students who have snowboarded but do not own a skateboard, and 147 students who have never gone snowboarding and do not own a skateboard.

Mathematics
2 answers:
11111nata11111 [884]3 years ago
4 0
Given a data on the relationship between the number of students that have ever gone snowboarding and <span>the number of students that own a skateboard.</span>

Given from the survey that <span>35 of the 99 students who own a skateboard have snowboarded and there were 13 students who have snowboarded but do not own a skateboard, and 147 students who have never gone snowboarding and do not own a skateboard.

We represent the above information in a two</span> way frequency table.

                              Have Snowboarded         Never Snawboarded          Total
Skateboard                          35                                     64                          99

No Skateboard                    13                                     147                        160

Total                                     48                                     211                        259
sergey [27]3 years ago
4 0

Answer:

C (pic below)

Step-by-step explanation:

Just took the test!

Brianliest plz!

<em>Saffron</em>

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A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) t
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Answer:

The upper confidence bound for population mean escape time is: 379.27

The upper prediction bound for the escape time of a single additional worker  is 413.64

Step-by-step explanation:

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standard deviation \sigma = 24.45

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Standard Error S.E = \dfrac{\sigma }{\sqrt{n}}

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The upper confidence bound for population mean escape time is = 379.26986  \approx 379.27

The upper confidence bound for population mean escape time is: 379.27

b.  Calculate an upper prediction bound for the escape time of a single additional worker using a prediction level of 95%.

The standard error of the mean = \sigma \times \sqrt{1+ \dfrac{1}{n}}

The standard error of the mean = 24.45 \times \sqrt{1+ \dfrac{1}{26}}

The standard error of the mean = 24.45 \times \sqrt{1+0.03846153846}

The standard error of the mean = 24.45 \times \sqrt{1.03846153846}

The standard error of the mean = 24.45 \times 1.019049331

The standard error of the mean = 24.91575614

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The upper prediction bound for the escape time of a single additional worker  is 413.64

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