Jamie was working on a project for psychology class to determine whether students were sleep deprived during final week at her university. She interviewed 100 random students in the library and discovered that 70% of them claimed to be sleep deprived that week. Use this information to answer the questions below. (Round your answer to four decimal places.)
1- Find the point estimate as a proportion. (Round your answer to four decimal places.)
2- Find the appropriate z* to use when if you were to compute a 95% confidence interval for the data. (Round your answer to four decimal places.)
3- Compute the standard error estimate for the data. (Round your answer to four decimal places.)
4- Compute the margin of error for the data for a 95% confidence interval. (Round your answer to four decimal places.)
5- Compute the lower limit for the 95% confidence interval. (Round your answer to four decimal places.)
6- Compute the upper limit for the 95% confidence interval. (Round your answer to four decimal places.)
7- Which of the following is the correct interpretation of the confidence interval for the data?
Select one:
a) I am 95% confident this interval contains the population
proportion of all students who were sleep deprived during final
week at Jamie’s university.
b) This interval would contain 95% of the students who were sleep
deprived in Jamie’s university.
c) There is a 95% chance that the next student Jamie
interviews will be sleep deprived.
d) I am 95% confident, this interval contains the sample
proportion of the 100 students in the survey.
1)
pt estiamte p̂ =x/n= | 0.7000 |
2()
for 95 % CI value of z= | 1.9600 | from excel:normsinv((1+0.95)/2) |
3)
se= √(p*(1-p)/n) = | 0.0458 |
4)
margin of error E=z*std error = | 0.0898 |
5)
lower bound=p̂ -E = | 0.6102 |
6)
Upper bound=p̂ +E = | 0.7898 |
7)
a) I am 95% confident this interval contains the population proportion of all students who were sleep deprived during final week at Jamie’s university.
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