An investigative journalist is writing a report about the amount of sodium in snack foods. They believe name-brand snack foods have higher sodium levels than store-brand snack foods. They randomly select 8 pairs of common snack food types (purchasing a name-brand and store-brand for each type) and use a lab to determine how much sodium is in every 100 grams of snack food. Note: d=(Name-brand−Store-brand) Name-brand (in milligrams) Store-brand (in milligrams) 519 519 469 462 418 410 328 327 741 740 637 632 282 270 554 541 Assume that both of the populations are normally distributed. At the 0.10 level of significance, is there sufficient evidence to show there are higher sodium levels for name-brand snacks than store-brand snacks? Find the test statistic, t0. Round your answer to the nearest hundredth.
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A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.
An investigative journalist is writing a report about the amount of sodium in snack foods. They believe name-brand snack foods have higher sodium levels than store-brand snack foods. They randomly select 8 pairs of common snack food types (purchasing a name-brand and store-brand for each type) and use a lab to determine how much sodium is in every 100 grams of snack food.
Note: d=(Name-brand−Store-brand)
Name-brand (in milligrams) | Store-brand (in milligrams) |
---|---|
519 | 519 |
469 | 462 |
418 | 410 |
328 | 327 |
741 | 740 |
637 | 632 |
282 | 270 |
554 | 541 |
Assume that both of the populations are
Find the test statistic, t0. Round your answer to the nearest hundredth.
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