Do you know how to construct confidence intervals and do hypothesis testing?
Without doing it all for you:
Do you know the formulae for calculating confidence intervals and standard errors?
If so, the calculate your standard error first.
Then look up your critical value for 99% and 90% confidence from a z table (plus or minus 49.5% and 45% respectively).
Plus these values in the confidence interval formula.
See here for detailed steps: http://www.wikihow.com/Calculate-Confidence-Interval
For (c), the check whether the confidence intervals includes any value > 16. If so, the mean could be that high, it not, it could not (with 99% certainty)
Do you know the formulae for calculating confidence intervals and standard errors?
If so, the calculate your standard error first.
Then look up your critical value for 99% and 90% confidence from a z table (plus or minus 49.5% and 45% respectively).
Plus these values in the confidence interval formula.
See here for detailed steps: http://www.wikihow.com/Calculate-Confidence-Interval
For (c), the check whether the confidence intervals includes any value > 16. If so, the mean could be that high, it not, it could not (with 99% certainty)
In addition to above, remember that first you need to use central limit theorem to assume that the sample mean is normally distributed (n = 56 > 30).
Original post by morgan8002
In addition to above, remember that first you need to use central limit theorem to assume that the sample mean is normally distributed (n = 56 > 30).
Thank you so much!
Original post by chazwomaq
Without doing it all for you:
Do you know the formulae for calculating confidence intervals and standard errors?
If so, the calculate your standard error first.
Then look up your critical value for 99% and 90% confidence from a z table (plus or minus 49.5% and 45% respectively).
Plus these values in the confidence interval formula.
See here for detailed steps: http://www.wikihow.com/Calculate-Confidence-Interval
For (c), the check whether the confidence intervals includes any value > 16. If so, the mean could be that high, it not, it could not (with 99% certainty)
Do you know the formulae for calculating confidence intervals and standard errors?
If so, the calculate your standard error first.
Then look up your critical value for 99% and 90% confidence from a z table (plus or minus 49.5% and 45% respectively).
Plus these values in the confidence interval formula.
See here for detailed steps: http://www.wikihow.com/Calculate-Confidence-Interval
For (c), the check whether the confidence intervals includes any value > 16. If so, the mean could be that high, it not, it could not (with 99% certainty)
Sorry for the delayed reply, this was really helpful, thank you!
Also, if anyone can help with this too, am I right in thinking that the empirical definition of probability is the same as the subjective view of probability?
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