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Can you compute a Margin of Error for Satisfaction μ ?
About GPA μ... with H1: μ<k.
Using the reported information regarding the original sample (n=35), to get a p-value=0.0548, k is approx.
About Satisfaction, a reduced sample (n=15) was used to test Ho: μ=5 vs H1: μ≠5, with α=0.05.
The estimates for μ and σ, computed with this smaller sample, were exactly the same: 5.13 and 2.13.
We
Focus on Surfer and use the sample to test Ho: π≥0.5 vs H1: π<0.5
The Critical Value, with α=0.05,
The Upper Limit of a Confidence Interval for Happiness μ, using a 95% confidence level,
Focus on Surfer.The estimate for the standard error
A new Contingency Analysis was run with a smaller sample
what would your conclusion be with α=0.10 ?
NetfilxU was added to the previous model:
Using the same sample (n=22), these OLS estimates were computed
What are your conclusions using a 0.10 level of significance ?
Still about the model considered in the previous Question:
The OLS estimates were computed with the sample:
Based only on this analysis what would your conclusions be, regarding the impact of Age in WP, using any common level of significance ?
This model
was estimated:
It seems to be true that, if α=0.10,