Hypothesis Testing: Nurse Salaries
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Questions and Answers

What is the significance level of the test?

  • 0.10
  • 0.50
  • 0.01
  • 0.05 (correct)
  • What is the null hypothesis for this test?

  • The average starting salary for nurses is greater than $24,000
  • The average starting salary for nurses is less than $24,000
  • The average starting salary for nurses is $24,000 (correct)
  • The average starting salary for nurses is not $24,000
  • What is the sample size of the test?

  • 5
  • 20
  • 10 (correct)
  • 15
  • What is the standard deviation of the sample?

    <p>400</p> Signup and view all the answers

    What is the sample mean of the starting salary for the nurses?

    <p>23,450</p> Signup and view all the answers

    What is the alternative hypothesis for this test?

    <p>H1: μ &lt; $24,000</p> Signup and view all the answers

    What is the type of test to be conducted in this problem?

    <p>Two-tail test</p> Signup and view all the answers

    What is the critical region for this test?

    <p>Both tails</p> Signup and view all the answers

    How many degrees of freedom does the t-distribution have in this test?

    <p>9</p> Signup and view all the answers

    What is the test statistic for this test?

    <p>t = ($23,450 - $24,000) / ($400 / √10)</p> Signup and view all the answers

    Study Notes

    Job Placement Director's Claim

    • The average starting salary for nurses is claimed to be $24,000.
    • This claim is made by a job placement director.

    Sample Data

    • A sample of 10 nurses was used for analysis.
    • The sample mean salary is $23,450.
    • The sample standard deviation of salaries is $400.

    Hypothesis Testing

    • Null Hypothesis (H0): The average salary for nurses is $24,000.
    • Alternative Hypothesis (H1): The average salary for nurses is less than $24,000.

    Significance Level

    • The significance level (α) is set at 0.05, indicating a 5% threshold for rejecting the null hypothesis.

    Test Statistic Calculation

    • Use the formula for the t-test statistic:
      • ( t = \frac{\bar{x} - \mu}{s/\sqrt{n}} )
      • where ( \bar{x} ) is the sample mean, ( \mu ) is the population mean under the null hypothesis, ( s ) is the sample standard deviation, and ( n ) is the sample size.
    • Substituting the values:
      • ( t = \frac{23,450 - 24,000}{400/\sqrt{10}} )

    Degrees of Freedom

    • Degrees of freedom (df) equal ( n - 1 ), which is 9 for this sample.

    Critical Value

    • For a one-tailed test at α = 0.05 with 9 degrees of freedom, the critical t-value can be found from t-distribution tables.

    Decision Rule

    • If the calculated t-value is less than the critical t-value, reject the null hypothesis.

    Conclusion Evaluation

    • Based on the analysis, evaluate whether there is enough statistical evidence to reject the job placement director's claim about the average starting salary for nurses.

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    Quiz Team

    Description

    Determine if there's enough evidence to reject the claim that the average starting salary for nurses is $24,000. Apply hypothesis testing concepts to a sample of 10 nurses with a given mean and standard deviation. Test your knowledge at a 0.05 significance level.

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