Question

Suppose the first population is all face-to-face meetings held
in March 2020, the second population is all Zoom meetings held in
March 2020, and the parameter of interest is μ_{1} –
μ_{2} = the difference in the mean length of all
face-to-face meetings and the mean length of all Zoom meetings. The
meeting lengths are measured in minutes. **For both
face-to-face meetings and Zoom meetings the distributions of
meeting times are skewed heavily to the right due to some meetings
that are very long.**

(a). Of interest is to test the hypothesis that the mean length of all face-to-face meetings and the mean length of all Zoom meetings are the same, versus the alternative hypothesis that the mean length of all face-to-face meetings is less than the mean length of all Zoom meetings. State the appropriate null and alternative hypotheses that should be tested.

(b). A simple random sample of 72 face-to-face meetings held in March 2020 was selected, and the mean length of this sample of 72 meetings was 48 minutes with a standard deviation of 14.3 minutes. An independent simple random sample of 61 Zoom meetings held in March 2020 was selected, and the mean length of this sample of 61 meetings was 53 minutes with a standard deviation of 12.8 minutes. If appropriate, use this information to test the hypotheses stated in part (a) at the α = .05 level of significance.

Answer #1

Suppose the first population is all face-to-face meetings held
in March 2020, the second population is all Zoom meetings held in
March 2020, and the parameter of interest is μ1 – μ2 = the
difference in the mean length of all face-to-face meetings and the
mean length of all Zoom meetings. The meeting lengths are measured
in minutes. For both face-to-face meetings and Zoom meetings the
distributions of meeting times are skewed heavily to the right due
to some meetings...

Suppose the first population is all face-to-face meetings held
in March 2020, the second population is all Zoom meetings held in
March 2020, and the parameter of interest is μ1 – μ2 = the
difference in the mean length of all face-to-face meetings and the
mean length of all Zoom meetings. The meeting lengths are measured
in minutes. For both face-to-face meetings and Zoom meetings the
distributions of meeting times are skewed heavily to the right due
to some meetings...

Suppose the first population is all Zoom meetings held in March
2020, the second population is all face-to-face meetings held in
March 2020, and the parameter of interest is μ1 – μ2 = the
difference in the mean number of people attending all Zoom meetings
and the mean number of people attending all face-to-face meetings.
For both Zoom meetings and face-to-face meetings the distributions
are skewed heavily to the right due to some meetings that have many
people in attendance....

One significant consequence of the COVID-19 situation is that
many meetings that formerly were held face-to-face are now held
virtually using something like Zoom or Skype. Suppose the first
population is all face-to-face meetings held in March 2020, the
second population is all Zoom meetings held in March 2020, and the
parameter of interest is μ1 – μ2 = the
difference in the mean length of all face-to-face meetings and the
mean length of all Zoom meetings. The meeting lengths...

(a)The population is all VCU faculty, and of interest is to
compare the mean number of Zoom meetings they attended in March
2020 to the mean number of face-to-face meetings they attended in
March 2020. It is conjectured that the mean number of Zoom meetings
in March 2020 and the mean number of face-to-face meetings in March
2020 attended by all VCU faculty are the same, and of interest is
to test this conjecture versus the alternative that the two...

A.) Now the population is all senior living facilities in the
United States. It is conjectured that the mean number of positive
COVID-19 cases per 100 residents is 40, and of interest is to test
the conjecture versus the alternative that the mean number of
positive COVID-19 cases per 100 residents is different from 40.
State the appropriate null and alternative hypotheses that should
be tested.
B.) Consider the information and hypotheses specified in the
above part a.. A simple...

Dr. Stoney and Dr. McAuliffe both teach statistics at Shochoe
Bottom University. Of interest is the difference in the mean score
earned by all of Dr. Stoney’s students on the test and the mean
score earned by all of Dr. McAuliffe’s students on the test. A
simple random sample of 72 students who took Dr. Stoney’s test was
selected, the mean score on the test for this sample of 72 students
was 78.3 with a standard deviation of 11.2. An...

(a). The population is still all days that Parsnip has been
alive, and the parameter of interest is = the proportion
of all days in which Parsnip eats all the food he is given. It is
conjectured that the proportion of all days that he has been alive
that Parsnip eats all the food he is given is 0.75, and of interest
is to test this claim versus the alternative that the proportion of
all days in which Parsnip eats all...

Assume that a simple random sample has been selected from a
normally distributed population and test the given claim. Identify
the null and alternative hypotheses, test statistic, P-value, and
state the final conclusion that addresses the original claim. In a
manual on how to have a number one song, it is stated that a song
must be no longer than 210seconds. A simple random sample of
40current hit songs results in a mean length of 237.6sec and a
standard deviation...

Assume that a simple random sample has been selected from a
normally distributed population and test the given claim. Identify
the null and alternative hypotheses, test statistic, P-value, and
state the final conclusion that addresses the original claim. In a
manual on how to have a number one song, it is stated that a song
must be no longer than 210 seconds. A simple random sample of 40
current hit songs results in a mean length of 233.6 sec and...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 11 minutes ago

asked 20 minutes ago

asked 33 minutes ago

asked 43 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago