The popularity of computer, video, online, and virtual reality games has raised concerns about their ability to negatively impact youth. The data in this exercise are based on a recent survey of 14- to 18- year- olds in Connecticut high schools. Suppose the following are the grade distributions of boys who have and have not played video games.
Grade average | |||
A's and B's | C's | D's and F's | |
Played games | 719 | 468 | 196 |
Never played games | 191 | 148 | 72 |
The null hypothesis "no relationship" says that in the population of all 14- to 18- year-old boys in Connecticut, the proportions who have each grade average are the same for those who play and don't play video games.
Find the expected counts (±±0.01) if this hypothesis is true and display them in a two-way table.
A's and B's | C's | D's and F's | |
Played games | ??? | ??? | ??? |
Never played games | ??? | ??? | ??? |
hint
Expected counts are Eij=(row total)i(column total)/total. Remember, expected values do not have to be values of the variable, so there will be decimal places here!
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Answer:
Using the formula
A's and B's | C's | D's and F's | ||
Played games | 719 | 468 | 196 | 1383 |
Never played games | 191 | 148 | 72 | 411 |
910 | 616 | 268 | 1794 |
Expected counts are Eij=(row total)i(column total)/total.
A's and B's | C's | D's and F's | Sum | |
Played games | 701.52 | 474.88 | 206.60 | 1383 |
Never played games | 208.48 | 141.12 | 61.40 | 411 |
Sum | 910 | 616 | 268 | 1794 |
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