Problem 1:
A nutritionist claims that a serving of their new "Healthy Potato Snack" contains an average of 150 calories. A random sample of 25 servings was analyzed, and the results showed an average of 155 calories with a standard deviation of 12 calories. Test whether there is significant evidence to suggest the average calorie content is different from the nutritionist's claim.
Step 1: Define null (Ho) and alternative (Ha)
Ηο: μ = 150 (The average calorie content is 150 calories)
Ηa: μ ≠ 150 (The average calorie content is different from 150 calories)
Step 2: Determine sample size (n), sample mean (x̄), population mean (μ), standard deviation (s), and a= 0.05 (95% confidence level)
Given:
significance level a = 0.05 (95% confidence level)
sample size (n) = 25
sample mean (x̄) = 155
population mean (μ) = 150
standard deviation (s) = 12
Step 3: Calculate the t-value using the formula. (You can use the t-test calculator provided to verify your answer.)
The t-value is 2.08333333.
Step 4: Determine degrees of freedom (df). (You can use the t-test calculator provided to verify your answer.)
Formula of df: df=n-1
df= 25-1
df= 24
Step 5: Find the critical t-value. (You can use the t-test calculator provided to verify your answer.)
Using a t-table for df = 24 and α = 0.05 (two-tailed test), the critical t-value is approximately ±2.064.
Step 6: Make a decision, reject or fail to reject the null hypothesis.
Decision: Since the calculated t-value (2.08333333) is greater than the critical value (2.064), we reject the null hypothesis.
Conclusion: There is significant evidence to suggest that the average calorie content of the "Healthy Potato Snack" is different from 150 calories.
TRY THIS!
Instruction: Solve the following problems, then verify your answers using the t-test calculator provided.
Problem 1:
A manufacturer of "Honey-Infused Cucumber Bites" states that the average weight of each bite is 20 grams. A quality control team randomly selects 30 bites and finds an average weight of 19.5 grams with a standard deviation of 1.8 grams. Determine if there is sufficient evidence to conclude that the average weight of the bites is significantly less than the manufacturer's claim.
Problem 2:
A company producing "Organic Honey-Glazed Carrots" claims that each package contains an average of 80 grams of carbohydrates. A consumer advocacy group suspects the actual carbohydrate content is different. They randomly select 18 packages and find the average carbohydrate content to be 83 grams, with a standard deviation of 9 grams. Test if there is sufficient evidence to support the consumer group's suspicion.
Problem 3:
A sports brand claims that their latest running shoes last an average of 600 kilometers before wearing out. A random sample of 28 pairs was tested, revealing an average durability of 590 kilometers with a standard deviation of 25 kilometers. Test at α = 0.05 if the actual durability differs from the claim.
Problem 4:
A well-known sportswear company advertises that their newest model of running shoes can withstand an average of 600 kilometers before showing significant signs of wear and tear. To test this claim, a group of researchers randomly selected 28 pairs of these shoes and subjected them to real-world running conditions. After the experiment, the results showed that the shoes lasted an average of 590 kilometers, with a standard deviation of 25 kilometers.
Problem 5:
A farmer claims that the average weight of their "Jumbo Baked Potatoes" is 300 grams. A grocery store chain, looking to purchase these potatoes, takes a random sample of 20 potatoes and finds the average weight to be 285 grams, with a standard deviation of 25 grams. Does the grocery store's sample provide enough evidence to suggest that the average weight of the potatoes is significantly different from the farmer's claim?


Wow! Very helpful! I love it. This made me love math even more.
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