A health professional obtains records for 38 patients who have undergone a certain surgical procedure and finds the average length of stay is 5.23 days with a standard deviation of 1.76 days. Using α=0.10α=0.10, is there evidence to suggest the actual average length of stay for this surgical procedure is 5 days? What are the hypotheses? H0:μ=5.23H0:μ=5.23 vs H1:μ≠5.23H1:μ≠5.23 H0:¯x=5.23H0:x¯=5.23 vs H1:¯x≠5.23H1:x¯≠5.23 H0:μ=5H0:μ=5 vs H1:μ≠5H1:μ≠5 H0:¯x=5H0:x¯=5 vs H1:¯x≠5H1:x¯≠5 Calculate the test statistic using the correct letter. t=0.81t=0.81 z=−0.81z=-0.81 z=0.81z=0.81 t=−0.81t=-0.81 Determine the critical values. ±1.305 ±1.687 ±1.685 ±1.645 ±1.304 ±1.686 ±1.282 State your decision. Accept H0 Fail to reject H0 Reject H0 The correct conclusion is that we      conclude that the average length of stay of      surgeries of this type            days.

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A health professional obtains records for 38 patients who have undergone a certain surgical procedure and finds the average length of stay is 5.23 days with a standard deviation of 1.76 days. Using α=0.10α=0.10, is there evidence to suggest the actual average length of stay for this surgical procedure is 5 days?

What are the hypotheses?

  • H0:μ=5.23H0:μ=5.23 vs H1:μ≠5.23H1:μ≠5.23
  • H0:¯x=5.23H0:x¯=5.23 vs H1:¯x≠5.23H1:x¯≠5.23
  • H0:μ=5H0:μ=5 vs H1:μ≠5H1:μ≠5
  • H0:¯x=5H0:x¯=5 vs H1:¯x≠5H1:x¯≠5



Calculate the test statistic using the correct letter.

  • t=0.81t=0.81
  • z=−0.81z=-0.81
  • z=0.81z=0.81
  • t=−0.81t=-0.81



Determine the critical values.

  • ±1.305
  • ±1.687
  • ±1.685
  • ±1.645
  • ±1.304
  • ±1.686
  • ±1.282

State your decision.

  • Accept H0
  • Fail to reject H0
  • Reject H0



The correct conclusion is that we      conclude that the average length of stay of      surgeries of this type            days.

What level of concern do you have for the validity of your results?

  • Low −- our sample size is near 30, so while that's likely sufficient for ¯X¯ to be approximately normally distributed, seeing that the original data isn't extremely skewed would make us feel more comfortable
  • Moderate −- the original data is not normally distributed which is an assumptions violation
  • Extreme −- we should not use any part of what we've done to make a conclusion
  • None −- our sample size is larger than 30 so there should be no problem with the conclusion
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