Mr. Cicardo arranged his second grade students in groups of four
to accommodate group work for math. Students keep their desks in
this arrangement at all times. During spelling tests, Mr. Cicardo
reminds students to look only at their papers and demonstrate their
individual ability to spell the words. Occasionally, he finds
students looking at a neighbor's paper anyway. During language arts
lessons, Mr. Cicardo often sees students mouthing messages to one
another in their groups, and he reminds them to pay attention to
the lesson. When Mr. Cicardo works with small reading groups, the
rest of the class works on independent seatwork. This is a time
when students often collaborate and talk with others seated nearby.
The noise is distracting to students who are working quietly, and
it disturbs the reading group being conducted. So, Mr. Cicardo
frequently needs to remind students that this is independent work,
not group work.
Describe specific changes Mr. Cicardo might make in both classroom
arrangement and classroom procedures to improve the learning
environment and increase academic learning time.
In: Psychology
Does the location of your seat in a classroom play a role in
attendance or grade? students in a physics
course were randomly assigned to one of four groups. The 400
students in group 1 sat 0 to 4 meters from the front
of the class, the 400 students in group 2 sat 4 to 6.5 meters from
the front, the 400 students in group 3 sat 6.5 to 9
meters from the front, and the 400 students in group 4 sat 9 to 12
meters from the front. Complete parts (a)through (c).
(a) For the first half of the semester, the attendance for the
whole class averaged 83%. So, if there is no effect due
to seat location, we would expect 83% of students in each group to
attend. The data show the attendance history
for each group. How many students in each group attended, on
average? Is there a significant difference among
the groups in attendance patterns?
Group 1 2 3 4
Attendance 0.84 0.84 0.84 0.80
The number of students who attended in the first group was...
The number of students who attended in the second group was...
The number of students who attended in the third group was...
The number of students who attended in the fourth group was...
What are the hypotheses? (choose a,b, or c)
A. H0: The average attendance in each group is different
from the average
attendance for the class.
H1: The average attendance in each group is the same as
the average
attendance for the class.
B. H0: The average attendance in each group is the same
as the average
attendance for the class.
H1: The average attendance in each group is different
from the average
attendance for the class.
C. None of these.
Compute the P-value.
P-value = (Round to three decimal places as needed.)
Is there a significant difference among the groups in
attendance patterns? Use the level of significance α =
0.05.
A. No, H0. should not be rejected because the P-value of
the test is
than α.
B. No.H0 should not be rejected because the P-value of
the test is greater
than α.
C. Yes.H0 should be rejected because the P-value of the
test is greater than α .
D. Yes. H0 should be rejected because the P-value of the
test is less than α.
(b) For the second half of the semester, the groups were rotated so
that group 1 students moved to the back of
class and group 4 students moved to the front. The same switch took
place between groups 2 and 3. The
attendance for the second half of the semester averaged 80%. The
data show the attendance records for the
original groups. How many students in each group attended, on
average? Is there a significant difference in
attendance patterns? Use the p-value approach and use the level of
significance α = 0.05
Group 1 2 3 4
Attendance 0.84 0.81 0.78 0.77
The number of students who attended in the first group
was...
The number of students who attended in the second group was...
The number of students who attended in the third group was...
The number of students who attended in the fourth group was...
The wording of the hypotheses is the same as part (a).
Compute the P-value for the test with technology and
compare to the level of significance α = 0.05.
P-value = (Round to three decimal places as needed.)
Is there a significant difference in attendance patterns?
(choose a,b,c,or d)
A. Yes , because the P-value of the test is than the level of
significance.
B. Yes, because the P-value of the test is greater than the level
of significance.
C. No, because the P-value of the test is less than the level of
significance.
D. No, because the P-value of the test is greater than the level of
significance.
(c) At the end of the semester, the proportion of students in the
top 20% of the class was determined. Of the
students in group 1, 25% were in the top 20%; of the students in
group 2, 20% were in the top 20%; of the students
in group 3, 16% were in the top 20%; of the students in group 4,
19% were in the top 20% . How many students would we expect to be
in the top 20% of the class if seat location plays no role in
grades?
The number of students expected to be in the top 20% of the
class in group 1 if seat location plays no role on
grades is...
The number of students expected to be in the top 20% of the class in group 2 is...
The number of students expected to be in the top 20% of the
class in group 3 is...
The number of students expected to be in the top 20% of the
class in group 4 is...
What is the null hypothesis?
A. H0: The number of students in the top 20% in each
group would be the same amongst the groups. H1: The
number of students in the top 20% in each group would not be the
same amongst the groups.
B. None of these.
C. H0: The number of students in the top 20% in each
group would not be
the same amongst the groups. H1: The number of students in the top
20% in each group would be the
same amongst the groups
Compute the P-value for the test with technology and
compare to the level of significance α = 0.05.
P-value = (Round to three decimal places as needed.)
Is there a significant difference in the number of students
in the top 20% of the class by group? (choose a,b,c, or
d)
A. No. H0 should not be rejected because the P-value of
the test is greater than the level of significance.
B. Yes. H0 should be rejected because the P-value of the
test is less than the level of significance.
C. No .H0 should not be rejected because the P-value of
the test is less than the level of significance
D. Yes. H0 should be rejected because the P-value of the
test is greater than the level of significance.
In: Statistics and Probability
A history teacher believes that students in an afternoon class have a higher mean score than the students in a morning class. The teacher randomly selected 41 students from her afternoon class and found that the mean score was a 99 with standard deviation of 6.3. The teacher randomly selected 36 students from her morning class and found that the mean score was a 96 with a standard deviation of 5.8. Can the teacher conclude that the afternoon students have a higher mean score? Find the P-Value.
Group of answer choices
0.0164
0.1223
0.1578
0.0114
In: Statistics and Probability
1. (10pts) Suppose from a class survey of 35 students, 6 students states they believe in Bigfoot. Answer the following questions.
(a) Obtain a point estimate for the population proportion of students that believe in Bigfoot.
(b) Determine the critical value needed to construct a 98% confidence interval for the proportion of students that believe in Bigfoot.
(c) Determine the standard error estimate (SE-est) for the confidence interval.
(d) Construct a 98% confidence interval for the proportion of students that believe in Bigfoot.
(e) Interpret the 98% confidence interval you found in part (d) above.
In: Statistics and Probability
In a university 20% students belong to the school of business
(B), 15% to the school of
engineering(E) and 30% belong to the school of social sciences(S).
Of the school of
business students 35% have taken a statistics course, of the school
of engineering
students 45% have taken a statistics course, and of the school of
social sciences
students, 20% have taken a statistics course. Between the three
schools, what fraction
of students have taken a statistics course (Q)? If a randomly
selected student is found
to have taken a statistics course, what is the chance that the
student belongs to the
school of business?
In: Statistics and Probability
A study of undergraduate computer science students examined
changes in major after the first year. The study examined the fates
of 256 students who enrolled as first-year students in the same
fall semester. The students were classified according to gender and
their declared major at the beginning of the second year. The
students studied were enrolled at a large Midwestern university
several years ago. Discuss how you would conduct a similar study at
a college or university of your choice today. Include a description
of all variables that you would collect for your study.
In: Statistics and Probability
2. You know that the height of all students is normal with a mean
of 69 inches and a standard deviation of 3 inches.
a) What proportion of all students have a height between 68 and
70.5 inches?
b) What is the 95th (and 99th) percentile of all students’
heights?
c) If you took a sample of 25 students and measured their heights,
what would you expect the average, variance and standard deviation
of all possible sample means to be?
d) What is the probability that the sample mean height of the 25
students is between 68 and 70.5 inches?
In: Statistics and Probability
For a 4-unit class like Statistics, students should spend
average of 12 hours studying for the class. A survey was done on 24
students, and the distribution of total study hours per week is
bell-shaped with a mean of 14 hours and a standard deviation of 3.4
hours.
Use the Empirical Rule to answer the following questions.
a) 68% of the students spend between hours
and hours on Statistics each week.
b) 95% of the students spend between hours
and hours on Statistics each week.
c) 99.7% of the students spend between hours
and hours on Statistics each week.
In: Statistics and Probability
For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 20 students, and the distribution of total study hours per week is bell-shaped with a mean of 13 hours and a standard deviation of 3.4 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between - hours and - hours on Statistics each week. b) 95% of the students spend between - hours and - hours on Statistics each week. c) 99.7% of the students spend between - hours and - hours on Statistics each week.
In: Statistics and Probability
Seventy-five percent of the students graduating from high school in a small Iowa farm town attend college. The towns chamber of commerce randomly selects 30 recent graduates and inquires whether or not they will attend college.
A) find the probability that at least 80% of the surveyed students will be attending college.
B) find the probability that at most 70% of the surveyed students will be attending college.
C) find the probability that between 65% and 85% of the surveyed students will be attending college.
D) why might the data gathered from this sample misestimate the proportion of students who will actually be attending college.
In: Statistics and Probability