A fast food company is offering a prize promotion game. The company claims that in 0.5% of all orders will receive $100 cash, 1% of all orders will receive $10 cash, and 10% of orders will receive a coupon for a free soft drink. The remaining orders will receive no prizes. A group of long-time customers were excited about the new promotion, and over the course of the promotion, they placed 651 orders. Of these orders, 2 ended up winning $100, 6 won $10, and 52 won a free soft drink. If this group wanted to do a chi-squared goodness of fit test to test the advertised odds, what would be the appropriate null and alternative hypotheses?

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A fast food company is offering a prize promotion game.
The company claims that in 0.5% of all orders will receive $100 cash, 1% of all orders will receive $10 cash, and 10% of
orders will receive a coupon for a free soft drink. The remaining orders will receive no prizes.
Agroup of long-time customers were excited about the new promotion, and over the course of the promotion, they placed
651 orders. Of these orders, 2 ended up winning $100, 6 won $10, and 52 won a free soft drink.
If this group wanted to do a chi-squared goodness of fit test to test the advertised odds, what would be the appropriate null
and alternative hypotheses?
Transcribed Image Text:A fast food company is offering a prize promotion game. The company claims that in 0.5% of all orders will receive $100 cash, 1% of all orders will receive $10 cash, and 10% of orders will receive a coupon for a free soft drink. The remaining orders will receive no prizes. Agroup of long-time customers were excited about the new promotion, and over the course of the promotion, they placed 651 orders. Of these orders, 2 ended up winning $100, 6 won $10, and 52 won a free soft drink. If this group wanted to do a chi-squared goodness of fit test to test the advertised odds, what would be the appropriate null and alternative hypotheses?
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