Question
Gender: male or female Drug: which of three drugs was administered, A, B, or C Pain: the patient's level of pain, with a higher value
Gender: male or female
Drug: which of three drugs was administered, A, B, or C
Pain: the patient's level of pain, with a higher value representing greater pain.
You first form a table showing the average level of pain for each drug/gender combination. Put "Gender" in the rows of the table and "Drug" in the Columns.
After making observation on differences in the effectiveness of the three drugs based on your table, you decide to conduct a one-way ANOVA analysis to test whether the average level of pain differs by gender. Use a 5% significance level.
Q1)Please state your null and alternative hypothesis.
Group of answer choices
a)H0: 1=2 The two population standard deviations of pain across gender are equal. Ha: 12 The two population standard deviations of pain across gender are not equal.
b) H0: 1=2 The two population means of pain across gender are equal. Ha: 12 The two population means of pain across gender are not equal.
Q2)What is the test statistic? ( two decimals)
Q3) What is the p-value ? (two decimals)
Q4)What is your conclusion ?
Group of answer choices
a)We can not reject the null hypothesis that the average pain for men and women are the same
b)We can reject the null hypothesis that the average pain for men and women are the same
Q5) Then you decide to conduct a one-way ANOVA analysis to test whether the average level of pain differs by the drug taken.
Use a 5% significance level.
What are your null and alternative hypotheses?
Group of answer choices
H0: 1=2=3 The population means of pain from three drugs are equal. Ha: At least population means of pain from two drugs are different.
Q6) What is the test statistic? ( two decimals)
Q7)What is the critical value ? ( two decimals )
Q8)What is the p-value ? (three decimals)
Q9)What is your conclusion ?
Group of answer choices
a)No answer text provided.
b)We can reject the null hypothesis. The average level of pain differs by the drug taken.
Source
https://docs.google.com/spreadsheets/d/1Aib9MujISd1MwQ5QLFWuia3GDDCoNJlb/edit?usp=sharing&ouid=112256274931170174923&rtpof=true&sd=true
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