A media streaming website knows that 70\%70%70, percent of its customers primarily watch on their television, 18\%18%18, percent primarily watch on their computer, and 12\%12%12, percent primarily watch on a mobile device. The company wonders if these percentages hold true after a recent update to the product. They take a random sample of 700700700 customers and obtain these results: [image here]

They want to perform a \chi^2χ
2
\chi, squared goodness-of-fit test to determine if these results suggest that the the distribution has changed.
What is the expected count of customers that watch on their computer in the sample?
You may round your answer to the nearest hundredth.

A media streaming website knows that 707070 percent of its customers primarily watch on their television 181818 percent primarily watch on their computer and 12 class=

Respuesta :

The expected count of customers that watch on their computer in the sample is 126.

How to calculate the expected count?

From the information given about the media. The expected count totally will be calculated as follows:

= (700 × 0.7) + (700 × 0.18) + (700 × 0.12)

= 490 + 126 + 85

= 700

Therefore, the expected count of customers that watch on their computer in the sample will be:

= 700 × 0.18

= 126

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