10. Find the endpoint(s) on the normal density curve with the given property.
XXXXXXXXXXThe area to the right of the endpoint on a N(70, 14) curve is about 0.03.
A XXXXXXXXXX
XXXXXXXXXXB XXXXXXXXXX
XXXXXXXXXXC XXXXXXXXXX
XXXXXXXXXXD XXXXXXXXXX
11. A parent says her 10-year-old daughter is in the 95th percentile in height. How tall is the girl? Report your answer with one decimal place.
XXXXXXXXXXA XXXXXXXXXXinches
XXXXXXXXXXB XXXXXXXXXXinches
XXXXXXXXXXC XXXXXXXXXXinches
XXXXXXXXXXD XXXXXXXXXXinches
12. The tallest 10% of 10-year-old girls are taller than what height? Report your answer with
one decimal place.
A XXXXXXXXXXinches
B XXXXXXXXXXinches
C XXXXXXXXXXinches
D XXXXXXXXXXinches
XXXXXXXXXXFinal grades in Professor Albert's large calculus class are approximately normally
XXXXXXXXXXdistributed with a mean of 72 (%) and standard deviation of 7 (%). What proportion of
XXXXXXXXXXstudents earn between an 80% and 86% in this class? Report your answer
XXXXXXXXXXwith two decimal places.
XXXXXXXXXXA) .88
B) .76
C) .16
D) .10
Use the following to answer questions XXXXXXXXXX:
On August 8, 2012, the national average price for a gallon of regular unleaded gasoline was $3.83. The prices for a random sample of n = 10 gas stations in the state of Illinois were recorded at that time. The mean price for the sampled gas stations was $3.975, with standard deviation $ XXXXXXXXXXA boxplot of the data is provided.
14. Is it reasonable to use the t-distribution to perform a test about the average gas price in
Illinois (on August 8, 2012)? True or False.
15. Test, at the 5% level, if there is evidence that the average gas price in Illinois (on August 8,
XXXXXXXXXXwas significantly higher than the national average. True or False.
Use the following to answer question 16:
As part of a course project, a statistics student surveyed random samples of 40 student athletes and 40 student non-athletes at his university, with the goal of comparing the heights of the two groups. His summary statistics are displayed in the provided table.
n
s
Athletes
40
64.95
4.15
Non-athletes
40
62.23
3.56
16. Construct a 99% confidence interval for the difference in mean heights between student
athletes and non-athletes at this university. Use two decimal places in your margin of e
or.
A XXXXXXXXXXto 3.67)
XXXXXXXXXXB XXXXXXXXXXto 3.67)
XXXXXXXXXXC) (0 to 4.67)
XXXXXXXXXXD XXXXXXXXXXto 5.00)
Use the following to answer questions 17 and 18:
In a survey conducted by the Gallup organization September 6-9, 2012, 1,017 adults were asked
"In general, how much trust and confidence do you have in the mass media - such as newspapers,
TV, and radio - when it comes to reporting the news fully, accurately, and fairly?" The results
are summarized in the provided table.
Response
Count
"Great deal" of confidence
72
"Fair amount" of confidence
315
"Not very much" confidence
320
"No confidence at all"
250
We are interested in testing whether or not the four responses are equally likely.
17. Is a chi-square test appropriate in this situation? True or False.
18 . Test, at the 5% level, if there is evidence that the four opinions are not all equally likely.
XXXXXXXXXXTrue or False.
19. Use this dataset to compute the IQR of the following summary statistics.
XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX
XXXXXXXXXXA) 13
XXXXXXXXXXB) 15
XXXXXXXXXXC) 10
XXXXXXXXXXD) 16
Note: please provide details answer on how you did solve each problem.
x