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Ch. 7 - Hypothesis Testing with One Sample
Larson - Elementary Statistics: Picturing the World 8th Edition
Larson8th EditionElementary Statistics: Picturing the WorldISBN: 9780137493470당신이 사용하는 게 아니라요?교과서 변경
모든 교과서Larson 8th EditionCh. 7 - Hypothesis Testing with One Sample문제 7.T.5
7장, 문제 7.T.5

A nutrition bar manufacturer claims that the standard deviation of the number of grams of carbohydrates in a bar is 1.11 grams. A random sample of 26 bars has a standard deviation of 1.19 grams. At α=0.05, is there enough evidence to reject the manufacturer’s claim? Assume the population is normally distributed.

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1
State the null hypothesis (H₀) and the alternative hypothesis (Hₐ). H₀: σ = 1.11 (the population standard deviation is 1.11 grams). Hₐ: σ ≠ 1.11 (the population standard deviation is not 1.11 grams). This is a two-tailed test.
Identify the test statistic to use. Since we are testing the population standard deviation, we use the chi-square test for variance. The test statistic is χ² = (n - 1) * (s² / σ₀²), where n is the sample size, s is the sample standard deviation, and σ₀ is the claimed population standard deviation.
Substitute the given values into the formula. Here, n = 26, s = 1.19, and σ₀ = 1.11. First, calculate the sample variance (s² = 1.19²) and the claimed variance (σ₀² = 1.11²). Then compute χ² using the formula χ² = (n - 1) * (s² / σ₀²).
Determine the critical values for the chi-square distribution. Use the chi-square table with degrees of freedom (df = n - 1 = 25) and the significance level α = 0.05. Since this is a two-tailed test, divide α by 2 to find the critical values for the lower and upper tails.
Compare the calculated χ² value to the critical values. If the χ² value falls outside the range defined by the critical values, reject the null hypothesis. Otherwise, fail to reject the null hypothesis. Interpret the result in the context of the problem.

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주요 개념

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Standard Deviation

Standard deviation is a measure of the amount of variation or dispersion in a set of values. In this context, it quantifies how much the carbohydrate content in the nutrition bars deviates from the average. A smaller standard deviation indicates that the values tend to be closer to the mean, while a larger one suggests more spread out values.
추천 영상:
가이드 코스
08:45
Calculating Standard Deviation

Hypothesis Testing

Hypothesis testing is a statistical method used to make decisions about a population based on sample data. In this scenario, the null hypothesis (H0) states that the manufacturer's claim about the standard deviation is true, while the alternative hypothesis (H1) suggests it is not. The goal is to determine if the sample data provides sufficient evidence to reject H0.
추천 영상:
가이드 코스
06:21
Step 1: Write Hypotheses

Significance Level (α)

The significance level, denoted as α, is the threshold for determining whether to reject the null hypothesis. In this case, α is set at 0.05, meaning there is a 5% risk of concluding that a difference exists when there is none. If the p-value obtained from the hypothesis test is less than α, the null hypothesis can be rejected, indicating significant evidence against the manufacturer's claim.
추천 영상:
가이드 코스
03:33
Finding Binomial Probabilities Using TI-84 Example 1
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a. rejects the null hypothesis?


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a. t = 1.4


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