In a large class of introductory Statistics​ students, the professor has each person toss a coin 33 times and calculate the proportion of his or her tosses that were heads. Complete parts a through d below. ​a) Confirm that you can use a Normal model here.   The Independence Assumption ▼   is not is satisfied because the sample proportions ▼   are are not independent of each other since one sample proportion ▼   does not affect can affect another sample proportion. The​ Success/Failure Condition ▼   is not is satisfied because np=nothing and nq=nothing​, which are both ▼   less than greater than or equal to 10. ​(Type integers or decimals. Do not​ round.) ​b) Use the 68–95–99.7 Rule to describe the sampling distribution model.   About​ 68% of the students should have proportions between nothing and nothing​, about​ 95% between nothing and nothing​, and about​ 99.7% between nothing and nothing. ​(Type integers or decimals rounded to four decimal places as needed. Use ascending​ order.) ​c) They increase the number of tosses to 77 each. Draw and label the appropriate sampling distribution model. Check the appropriate conditions to justify your model.   The Independence Assumption ▼   is not is satisfied because the sample proportions ▼   are not are independent of each other since one sample proportion ▼   can affect does not affect another sample proportion. The​ Success/Failure Condition ▼   is is not satisfied because np=nothing and nq=nothing​, which are both ▼   greater than or equal to less than 10. ​(Type integers or decimals. Do not​ round.) Use the graph below to describe the sampling distribution model.                                                        p-hatRange ARange BRange C         A symmetric bell-shaped curve is plotted above a horizontal axis labeled p-hat, which has 7 unlabeled tick marks in equal increments. A dashed vertical line segment runs from the axis to the curve at its center and peak at the center tick mark, and solid vertical line segments run from the axis to the curve at each of the other 6 tick marks. Total areas under the curve between solid line segments are labeled as follows: between the innermost solid line segments, Range A; between the middle line segment on the left half and the middle line segment on the right half, Range B; between the outermost line segments, Range C. The curve is nearly horizontal and just above the axis at the outermost line segments.   Range​ A, which corresponds to nothing​% of the​ proportions, spans from nothing and nothing. Range​ B, which corresponds to nothing​% of the​ proportions, spans from nothing and nothing. Range​ C, which corresponds to nothing​% of the​ proportions, spans from nothing and nothing. ​(Type integers or decimals rounded to four decimal places as needed. Use ascending​ order.) ​d) Explain how the sampling distribution model changes as the number of tosses increases.     A. The sampling distribution model shifts to the right because the mean of the distribution will increase.   B. The sampling distribution model becomes narrower because the standard deviation of the distribution will decrease.   C. The sampling distribution model becomes wider because the standard deviation of the distribution will increase.   D. The sampling distribution model shifts to the left because the mean of the distribution will decrease.

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In a large class of introductory Statistics​ students, the professor has each person toss a coin
33
times and calculate the proportion of his or her tosses that were heads. Complete parts a through d below.
​a) Confirm that you can use a Normal model here.
 
The Independence Assumption
 
is not
is
satisfied because the sample proportions
 
are
are not
independent of each other since one sample proportion
 
does not affect
can affect
another sample proportion. The​ Success/Failure Condition
 
is not
is
satisfied because
np=nothing
and
nq=nothing​,
which are both
 
less than
greater than or equal to
10.
​(Type integers or decimals. Do not​ round.)
​b) Use the
68–95–99.7
Rule to describe the sampling distribution model.
 
About​ 68% of the students should have proportions between
nothing
and
nothing​,
about​ 95% between
nothing
and
nothing​,
and about​ 99.7% between
nothing
and
nothing.
​(Type integers or decimals rounded to four decimal places as needed. Use ascending​ order.)
​c) They increase the number of tosses to
77
each. Draw and label the appropriate sampling distribution model. Check the appropriate conditions to justify your model.
 
The Independence Assumption
 
is not
is
satisfied because the sample proportions
 
are not
are
independent of each other since one sample proportion
 
can affect
does not affect
another sample proportion. The​ Success/Failure Condition
 
is
is not
satisfied because
np=nothing
and
nq=nothing​,
which are both
 
greater than or equal to
less than
10.
​(Type integers or decimals. Do not​ round.)
Use the graph below to describe the sampling distribution model.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
       p-hatRange ARange BRange C
 
  •  
  •  
  •  
A symmetric bell-shaped curve is plotted above a horizontal axis labeled p-hat, which has 7 unlabeled tick marks in equal increments. A dashed vertical line segment runs from the axis to the curve at its center and peak at the center tick mark, and solid vertical line segments run from the axis to the curve at each of the other 6 tick marks. Total areas under the curve between solid line segments are labeled as follows: between the innermost solid line segments, Range A; between the middle line segment on the left half and the middle line segment on the right half, Range B; between the outermost line segments, Range C. The curve is nearly horizontal and just above the axis at the outermost line segments.
 
Range​ A, which corresponds to
nothing​%
of the​ proportions, spans from
nothing
and
nothing.
Range​ B, which corresponds to
nothing​%
of the​ proportions, spans from
nothing
and
nothing.
Range​ C, which corresponds to
nothing​%
of the​ proportions, spans from
nothing
and
nothing.
​(Type integers or decimals rounded to four decimal places as needed. Use ascending​ order.)
​d) Explain how the sampling distribution model changes as the number of tosses increases.
 
 
A.
The sampling distribution model shifts to the right because the mean of the distribution will increase.
 
B.
The sampling distribution model becomes narrower because the standard deviation of the distribution will decrease.
 
C.
The sampling distribution model becomes wider because the standard deviation of the distribution will increase.
 
D.
The sampling distribution model shifts to the left because the mean of the distribution will decrease.
 
 

 

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