Math  /  Data & Statistics

QuestionLeft-Handed Lawyers Approximately 10%10 \% of Americans are left-handed (we will treat this as a known population parameter). A study on the relationship between handedness and profession found that in a random sample of 105 lawyers, 16 of them were lefthanded. 1{ }^{1} Test the hypothesis that the proportion of left-handed lawyers differs from the proportion of left-handed Americans. 1{ }^{1} Schachter, S. and Ransil, B., "Handedness Distributions in Nine Professional Groups," Perceptual and Motor Skills, 1996; 82: 51-63.
Part 1
Clearly state the null and alternative hypotheses. Let pp be the proportion of left-handed lawyers. eTextbook and Media Save for Later Attempts: 0 of 5 used Submit Answer
Part 2
Calculate the test statistic and pp-value. Round your answer for the test statistic to two decimal places, and your answer for the pp-value to three decimal places. test statistic == \square i \square pp-value == eTextbook and Media

Studdy Solution

STEP 1

1. The population proportion of left-handed Americans is p0=0.10 p_0 = 0.10 .
2. The sample size of lawyers is n=105 n = 105 .
3. The number of left-handed lawyers in the sample is x=16 x = 16 .
4. We will use a significance level α\alpha to determine the p p -value.

STEP 2

1. State the null and alternative hypotheses.
2. Calculate the sample proportion.
3. Calculate the test statistic.
4. Determine the p p -value.

STEP 3

State the null and alternative hypotheses.
- Null Hypothesis (H0 H_0 ): The proportion of left-handed lawyers is equal to the proportion of left-handed Americans. $ H_0: p = 0.10 \]
- Alternative Hypothesis (Ha H_a ): The proportion of left-handed lawyers differs from the proportion of left-handed Americans. $ H_a: p \neq 0.10 \]

STEP 4

Calculate the sample proportion (p^ \hat{p} ).
p^=xn=161050.1524\hat{p} = \frac{x}{n} = \frac{16}{105} \approx 0.1524

STEP 5

Calculate the test statistic using the formula for a proportion:
z=p^p0p0(1p0)nz = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1-p_0)}{n}}}
Substitute the known values:
z=0.15240.100.10×0.90105z = \frac{0.1524 - 0.10}{\sqrt{\frac{0.10 \times 0.90}{105}}}
Calculate the denominator:
0.10×0.901050.0293\sqrt{\frac{0.10 \times 0.90}{105}} \approx 0.0293
Calculate the test statistic:
z0.15240.100.02931.79z \approx \frac{0.1524 - 0.10}{0.0293} \approx 1.79

STEP 6

Determine the p p -value for the two-tailed test using the standard normal distribution.
The p p -value is calculated as:
p-value=2×P(Z>z)p\text{-value} = 2 \times P(Z > |z|)
Using a standard normal distribution table or calculator:
P(Z>1.79)0.0367P(Z > 1.79) \approx 0.0367
Thus, the p p -value is:
p-value=2×0.03670.0734p\text{-value} = 2 \times 0.0367 \approx 0.0734
The test statistic is approximately 1.79 1.79 and the p p -value is approximately 0.073 0.073 .

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