In: Math
1. The effectiveness of a blood-pressure drug is being
investigated. An experimenter finds that, on average, the reduction
in systolic blood pressure is 44 for a sample of size 22 and
standard deviation 6. Estimate how much the drug will lower a
typical patient's systolic blood pressure (using a 95% confidence
level).
Give your answers to one decimal place and provide the point
estimate with its margin of error. __________________ ±
________________________
2. In a survey, 31 people were asked how much they spent on
their child's last birthday gift. The results were roughly
bell-shaped with a mean of $42 and standard deviation of $10.
Estimate how much a typical parent would spend on their child's
birthday gift (use a 95% confidence level).
Give your answers to one decimal place. Provide the point estimate
and margin or error. _______________ ± _________________
3. You must estimate the mean temperature (in degrees Fahrenheit) with the following sample temperatures:
| 13.8 | 
| 65.2 | 
| 51.2 | 
| 22.5 | 
| 41.7 | 
| 13.8 | 
| 58.4 | 
| 39.4 | 
| 32.2 | 
| 31.1 | 
Find the 80% confidence interval. Enter your answer as an
open-interval (i.e., parentheses)
accurate to two decimal places (because the sample data are
reported accurate to one decimal place). 80% C.I. =
___________________
Answer should be obtained without any preliminary rounding.
4. The effectiveness of a blood-pressure drug is being
investigated. An experimenter finds that, on average, the reduction
in systolic blood pressure is 38.9 for a sample of size 339 and
standard deviation 13.4. Estimate how much the drug will lower a
typical patient's systolic blood pressure (using a 80% confidence
level).
Enter your answer as a tri-linear inequality accurate to one
decimal place (because the sample statistics are reported accurate
to one decimal place).
_________< μ < __________
5. Assume that a sample is used to estimate a population mean
μμ. Find the margin of error M.E. that corresponds to a
sample of size 7 with a mean of 52.6 and a standard deviation of
14.3 at a confidence level of 99.9%. Report ME accurate to one
decimal place because the sample statistics are presented with this
accuracy.
M.E. = ________________    Answer should be
obtained without any preliminary rounding. However, the critical
value may be rounded to 3 decimal places.
6. Express the confidence interval (337.6,540.6)(337.6,540.6) in
the form of ¯x ± ME.
¯x ± ME= ___________ + ______________
7. Assume that a sample is used to estimate a population mean
μμ. Find the 95% confidence interval for a sample of size 66 with a
mean of 27.9 and a standard deviation of 20.8. Enter your answer as
an open-interval (i.e., parentheses)
accurate to one decimal place (because the sample statistics are
reported accurate to one decimal place).
95% C.I. = _____________
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
8. Assume that a sample is used to estimate a population
proportion μμ. Find the margin of error M.E. that
corresponds to a sample of size 411 with a mean of 20.9 and a
standard deviation of 20.6 at a confidence level of 90%.
Report ME accurate to one decimal place because the sample
statistics are presented with this accuracy.
M.E. =__________________
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
9. In a survey, 16 people were asked how much they spent on
their child's last birthday gift. The results were roughly
bell-shaped with a mean of $38 and standard deviation of $7.
Estimate how much a typical parent would spend on their child's
birthday gift (use a 95% confidence level).
Give your answers to one decimal place. Provide the point estimate
and margin or error. _____________ ± _______________
10. Assume that a sample is used to estimate a population mean
μμ. Find the 90% confidence interval for a sample of size 56 with a
mean of 59.2 and a standard deviation of 13.2. Enter your answer as
an open-interval (i.e., parentheses)
accurate to one decimal place (because the sample statistics are
reported accurate to one decimal place).
90% C.I. = _________________
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
11. Assume that a sample is used to estimate a population mean
μμ. Find the margin of error M.E. that corresponds to a
sample of size 21 with a mean of 58.7 and a standard deviation of
17.9 at a confidence level of 80%.
Report ME accurate to one decimal place because the sample
statistics are presented with this accuracy.
M.E. = _______________
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
12. Express the confidence interval (174.8,273.6) in the form of ¯x ± ME.
¯x ± ME=_________________
13. Assume that a sample is used to estimate a population
proportion μμ. Find the margin of error M.E. that
corresponds to a sample of size 45 with a mean of 15.3 and a
standard deviation of 6.6 at a confidence level of 99%.
Report ME accurate to one decimal place because the sample
statistics are presented with this accuracy.
M.E. = ________________
Answer should be obtained without any preliminary rounding.
However, the critical value may be rounded to 3 decimal places.
14. You must estimate the mean temperature (in degrees Fahrenheit) with the following sample temperatures:
| 32.1 | 
| 30.7 | 
| 9 | 
| 22.2 | 
| 42.7 | 
| -5.8 | 
| 20.5 | 
| 20.8 | 
| 52.4 | 
| 28.6 | 
| 9.2 | 
Find the 90% confidence interval. Enter your answer as an
open-interval (i.e., parentheses)
accurate to two decimal places (because the sample data are
reported accurate to one decimal place).
90% C.I. = _________________
15. The effectiveness of a blood-pressure drug is being
investigated. An experimenter finds that, on average, the reduction
in systolic blood pressure is 30.9 for a sample of size 889 and
standard deviation 11.3. Estimate how much the drug will lower a
typical patient's systolic blood pressure (using a 95% confidence
level).
Enter your answer as a tri-linear inequality accurate to one
decimal place (because the sample statistics are reported accurate
to one decimal place).
___________< μ < ____________________
16. You must estimate the mean temperature (in degrees Fahrenheit) with the following sample temperatures:
| 74.2 | 
| 89.8 | 
| 70.1 | 
| 81.7 | 
| 63.6 | 
| 94.8 | 
| 75.3 | 
| 73.3 | 
| 76 | 
| 66.3 | 
| 63 | 
Find the 80% confidence interval. Enter your answer as an open-interval (i.e., parentheses) accurate to two decimal places (because the sample data are reported accurate to one decimal place). 80% C.I. = _____________________
17. The effectiveness of a blood-pressure drug is being
investigated. An experimenter finds that, on average, the reduction
in systolic blood pressure is 50 for a sample of size 19 and
standard deviation 8. Estimate how much the drug will lower a
typical patient's systolic blood pressure (using a 90% confidence
level).
Give your answers to one decimal place and provide the point
estimate with its margin of error.
______________ ± _______________
1)
sample std dev ,    s =    6.0000
Sample Size ,   n =    22
Sample Mean,    x̅ =   44.0000
Level of Significance ,    α =   
0.05          
degree of freedom=   DF=n-1=   21  
       
't value='   tα/2=   2.0796   [Excel
formula =t.inv(α/2,df) ]      
          
       
Standard Error , SE = s/√n =   6.0000   /
√   22   =   1.279204
margin of error , E=t*SE =   2.0796  
*   1.27920   =   2.7
confidence interval = x̅ ± E = 44 ±
2.7
2)
sample std dev ,    s =    10.0000
Sample Size ,   n =    31
Sample Mean,    x̅ =   42.0000
Level of Significance ,    α =   
0.05          
degree of freedom=   DF=n-1=   30  
       
't value='   tα/2=   2.0423   [Excel
formula =t.inv(α/2,df) ]      
          
       
Standard Error , SE = s/√n =   10.0000   /
√   31   =   1.796053
margin of error , E=t*SE =   2.0423  
*   1.79605   = 3.7
confidence interval = x̅ ± E = 42 ±
3.7
3)Level of Significance ,    α =   
0.20
sample std dev ,    s = √(Σ(X- x̅ )²/(n-1) )
=   17.7239
Sample Size ,   n =    10
Sample Mean,    x̅ = ΣX/n =    36.9300
degree of freedom=   DF=n-1=   9  
       
't value='   tα/2=   1.3830   [Excel
formula =t.inv(α/2,df) ]      
          
       
Standard Error , SE = s/√n =   17.7239   /
√   10   =   5.604781
margin of error , E=t*SE =   1.3830  
*   5.60478   =   7.751573
          
       
confidence interval is       
           
Interval Lower Limit = x̅ - E =    36.93  
-   7.751573   =   29.178427
Interval Upper Limit = x̅ + E =    36.93  
-   7.751573   =   44.681573
80%   confidence interval is (  
29.18   < µ <   44.68  
)