A random sample of n = 4 individuals is selected from a population with µ = 35, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 40.1 with SS = 48. a. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the statistic.) b. If there is no treatment effect, how much differ- ence is expected between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the statistic.) c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.
A random sample of n = 4 individuals is selected from a population with µ = 35, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 40.1 with SS = 48. a. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the statistic.) b. If there is no treatment effect, how much differ- ence is expected between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the statistic.) c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.
MATLAB: An Introduction with Applications
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Psych stats question #12 show full work
![**Question 12:**
A random sample of \( n = 4 \) individuals is selected from a population with \( \mu = 35 \), and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be \( M = 40.1 \) with \( SS = 48 \).
a. How much difference is there between the mean for the treated sample and the mean for the original population? *(Note: In a hypothesis test, this value forms the numerator of the \( t \) statistic.)*
b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for \( M \). *(Note: In a hypothesis test, this value is the denominator of the \( t \) statistic.)*
c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with \( \alpha = .05 \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff56f1b7-36da-490f-a87a-f784147acbf5%2F909d0de5-9bfa-4b42-9c31-2e0b4f764c5a%2F8ecms6_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Question 12:**
A random sample of \( n = 4 \) individuals is selected from a population with \( \mu = 35 \), and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be \( M = 40.1 \) with \( SS = 48 \).
a. How much difference is there between the mean for the treated sample and the mean for the original population? *(Note: In a hypothesis test, this value forms the numerator of the \( t \) statistic.)*
b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for \( M \). *(Note: In a hypothesis test, this value is the denominator of the \( t \) statistic.)*
c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with \( \alpha = .05 \).
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