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Testing a Hypothesis

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Researchers have hypothesized that the proverbial rose-colored glasses might indeed help lessen depression caused by light deprivation. A random sample of 39 people suffering from light deprivation depression were given a depression inventory exam, and it was found that on the scale their average measure was 27 with a standard deviation of 3.3. Another random sample of 45 people suffering light deprivation depression wore rose-tinted glasses. They were subjected to the same light deprivation conditions as the other sample. On the depression inventory exam their mean scale was 24 with standard deprivation of 3.6. Test the claim that the rose-colored glasses reduce the reading on the depression inventory exam. Use a 5% level of significance.

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Solution Summary

The expert examines testing a hypothesis for the proverbial rose-colored glasses.

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Solution. We can conduct a Z-test on the hypotheses below:

Null hypothesis H0: mu1<=mu2
Alternative hypothesis Ha: mu1>mu2

Note: mu2: the average ...

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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