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BUSN 340 week 3 main post

Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that ...

BUSN 340 week 3 main post

Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that a home in Township 3 has a pool. Then compute the probability that a home is in Township 3 and has a pool (compare to all homes in the sample). Statistical tools may be used to compute these probabilities through creating a table of the data. (SPSS: Analyze – Descriptive Stat – Crosstab, Row = Pool and Column = Township). (Minitab: File – Open Worksheet – Select the Real Estate Excel data file – Stat – Tables – Descriptive Statistics, Row = Pool and Column = Township).Explain how these probabilities would help a realtor to serve his or her clients better.Today, we live in a world where probabilities are quoted all the time from stormy weather to car safety and movie ratings. Select a probability that you rely on all the time and identify two probability concepts covered in this week's reading assignment. Identify whether your reliance on this probability can lead you to reevaluate reliance. 250-300 words in APA format.

MCAD Hypothesis Test for a Difference in Two Population Means Worksheet

Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activ ...

MCAD Hypothesis Test for a Difference in Two Population Means Worksheet

Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextDo undergraduates sleep less than graduate students?A student conducted a study of sleep habits at a large state
university. His hypothesis is that undergraduates will party more and
sleep less than graduate students. He surveyed random samples of 75
undergraduate students and 50 graduate students. Subjects reported the
hours they sleep in a typical night.For this hypothesis test, he defined the population means as follows:
μ
1
is the mean number of hours undergraduate students sleep in a typical night.
μ
2
is the mean number of hours graduate students sleep in a typical night.VariablesHours: typical number of hours a student sleeps each night Program: undergraduate or graduate Program is the explanatory variable, and the data is categorical. Hours is the response variable, and the data is quantitative.DataTwo sample T hypothesis test:μ1 : Mean of undergraduateμ2 : Mean of graduateμ1 - μ2 : Difference between two meansH0 : μ1 - μ2 = 0HA : μ1 - μ2 < 0(without pooled variances)Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-0.233333330.18963708106.32776-1.23042040.1106
PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.ANSWER(S): (hint)Since we want to check whether the data supports the claim that
undergraduate students sleep less, on average, than graduate students,
we are testing:
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
We can safely use the two-sample T-test in this case since:
Both samples are random, and therefore independent.The sample sizes (75 and 50) are quite large, and therefore we can
proceed regardless of whether the populations are normal or not.
T = -1.23; P-value = 0.111Here is the StatCrunch output depicting these values.Two sample T hypothesis test:
μ
1
: Mean of undergraduate
μ
2
: Mean of graduate
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
(without pooled variances)
Hypothesis test results:
Difference
Sample Diff.
Sd. Err.
DF
T-Stat
P-Value
μ1 - μ2
-0.23333333
0.18963708
106.32776
-1.2304204
0.1106
The P-value (0.111) is greater than 0.05. This indicates that
the observed data is not unusual if undergraduate and graduate students,
on average, have the same mean for sleep hours. Therefore, the data do
not provide evidence to reject
H
0
. So we cannot conclude that undergraduate students sleep less, on average, than graduate students.

Participant Selection Discussion

Discussion: Participant SelectionRecall from your previous research classes that creating a sample for a qualitative study ...

Participant Selection Discussion

Discussion: Participant SelectionRecall from your previous research classes that creating a sample for a qualitative study is guided by very different principles than for those that guide quantitative study.To prepare for this Discussion:There are “rules of thumb” that guide each qualitative approach. Review Patton’s chapter on sampling types, and study sampling strategies in research articles on the approach you have chosen.Review the articles on data saturation and theoretical saturation, and consider which criteria you will follow to estimate “how many.” Remember, in qualitative research, one case can be enough. If your phenomenon is complex or you are interested in a range of experiences, then you will need more cases.Reflect on your research problem and question. What are the essential characteristics of participants that you want to recruit?By Day 3Prepare a Discussion post in which you address the following:Present the most current version of your research question and state the phenomenon of interest.Describe the criteria for inclusion and exclusion.Describe in detail the choices for sample size, data saturation, and theoretical saturation. Justify your choices with citations of research studies that use the same strategy and/or of methodological articles that describe the rationale.Put yourself in the participant’s position, and consider the assurances you would want to hear to ensure that your privacy is respected and that your identity will not be revealed when the study is published. Include those assurances in your invitation.

SOC 220 GCU How Society Influences in Human Trafficking Discussion

First, select a social problem to analyze throughout this course. You may select from the list or come up with a social pr ...

SOC 220 GCU How Society Influences in Human Trafficking Discussion

First, select a social problem to analyze throughout this course. You may select from the list or come up with a social problem you wish to analyze: EuthanasiaIlliteracyHuman TraffickingAlcohol abuseInequity in the workplace Drug AbusePovertyChild AbuseJuvenile DelinquencyEconomic inequality Remember, you will use your selected social problem to complete other assignments throughout this course.In an essay format, cite one scholarly source from the GCU library in addition to the textbook and complete the following:Describe your selected social problem in its social context. (55- 75words).Use your sociological imagination to explain how the selected social problem is influenced by society (75-100 words).Select the theoretical perspective(s) (functionalist, conflict, and interactionist) that best aligns with the social problem you’ve selected to analyze in this course.Explain why the theoretical perspective(s) you chose is best to explain the selected social problem.Next, use that theoretical perspective(s) to explain how your selected social problem came to be and how it is perpetuated. (150-200 words)

This quiz asks questions about fundamental statistical concepts, including two types of hypothesis tests.

The first, a hypothesis test involving a single mean, is exemplified by another question about sardines. (There are not m ...

This quiz asks questions about fundamental statistical concepts, including two types of hypothesis tests.

The first, a hypothesis test involving a single mean, is exemplified by another question about sardines. (There are not many exciting examples that illustrate this type of test.). The second type of hypothesis test is much more interesting and it involves the difference between two means (we call this a "difference in means" test.). You have been calculating differences in means using the health survey data; in this quiz, you will carry out a difference-in-means test using data on bicycle trip duration.*** Note: All the questions, except the last one, are answerable using pen and paper. Indeed, you will come away from this class with a much better understanding of the concepts if you try to work through them "by hand" rather than first going to the computer or calculator. Thus, in addition to answering the quiz, you are required to send to me your written answers. You may scan you answers and email to me a pdf or type up your answers in Word and email it to me. You must turn in individual, NOT group, writeups, and cases of clear copying will be considered cheating and given a final score of 0.1. True or False. In statistics, the result that in large enough samples, the mean of a random variableis normally distributed, regardless of how the random variable is distributed, is called the CentralLimit Theorem2.You observe five random numbers: 2,2,3,4,4. The mean of this data is 3. What is the standard deviation? (This should be done with a pen and paper, and the formula on p. 36, note 16 of(1,3,2,0.5)3.For a random variable with the mean and standard deviation you found in Question 2 above, what is standard deviation of the sample average in repeated samples where n=5? (In other words, what is the standard error of the sample mean when n=5?). Hints: To calculate the standard error, use the formula given in equation 1.6 of Mastering Metrics. The square root of 5 is 2.25.8/9 1 2 2/9 4/94. On a can of sardines it is written that the can contains 10 sardines. You open up 100 cans andfind the average is 9.75 sardines with a standard deviation of 1. What is the test statistic in a testof the null hypothesis that the population average is 10? Can you reject the null at the 5%significance level?-2.5; no -2.5; yes -.25; no-.25; yes5.The table below contains the raw data from Professor Rietz’s six bike trips between the trainstation and the MLK library. In addition to the date of the trip and the duration, it also tells thestarting location and the ending location. Time is in minutes, rounded to the nearest wholenumber. As you can infer, Prof. Rietz arrives at the train station at the start of the day, bikes tocampus, works on campus, and then bikes back to the station at the end of the day.The average duration of trips starting at the Train Station was ___ while the average duration oftrips starting at the Library was ___6; 1010; 69; 77; 96.Consider a test of the null hypothesis that there is no difference between the average duration oftrips that start at the Library and trips that start at the Train Station. Which of the following is theapproximate value of the appropriate test statistic for such a test? (Hint: use the test statisticformula in the middle of page 45 of MM; for the standard error that appears in the denominatorof the test statistic formula, use the separate-variance formula that appears in footnote 17.)3.81.22.44.23.77.True or False: Given the value of the test statistic you found above, is the effect of starting location on trip duration statistically significant?T/F

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BUSN 340 week 3 main post

Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that ...

BUSN 340 week 3 main post

Refer to the real estate data located in the Resources folder of Blackboard or in the text. Compute the probability that a home in Township 3 has a pool. Then compute the probability that a home is in Township 3 and has a pool (compare to all homes in the sample). Statistical tools may be used to compute these probabilities through creating a table of the data. (SPSS: Analyze – Descriptive Stat – Crosstab, Row = Pool and Column = Township). (Minitab: File – Open Worksheet – Select the Real Estate Excel data file – Stat – Tables – Descriptive Statistics, Row = Pool and Column = Township).Explain how these probabilities would help a realtor to serve his or her clients better.Today, we live in a world where probabilities are quoted all the time from stormy weather to car safety and movie ratings. Select a probability that you rely on all the time and identify two probability concepts covered in this week's reading assignment. Identify whether your reliance on this probability can lead you to reevaluate reliance. 250-300 words in APA format.

MCAD Hypothesis Test for a Difference in Two Population Means Worksheet

Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activ ...

MCAD Hypothesis Test for a Difference in Two Population Means Worksheet

Learn by DoingIn this activity you will learn to use StatCrunch to perform a two-sample t-test.Some features of this activity may not work well on a cell phone or
tablet. We highly recommend that you complete this activity on a
computer.Here are the directions and grading rubric for the discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextDo undergraduates sleep less than graduate students?A student conducted a study of sleep habits at a large state
university. His hypothesis is that undergraduates will party more and
sleep less than graduate students. He surveyed random samples of 75
undergraduate students and 50 graduate students. Subjects reported the
hours they sleep in a typical night.For this hypothesis test, he defined the population means as follows:
μ
1
is the mean number of hours undergraduate students sleep in a typical night.
μ
2
is the mean number of hours graduate students sleep in a typical night.VariablesHours: typical number of hours a student sleeps each night Program: undergraduate or graduate Program is the explanatory variable, and the data is categorical. Hours is the response variable, and the data is quantitative.DataTwo sample T hypothesis test:μ1 : Mean of undergraduateμ2 : Mean of graduateμ1 - μ2 : Difference between two meansH0 : μ1 - μ2 = 0HA : μ1 - μ2 < 0(without pooled variances)Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-0.233333330.18963708106.32776-1.23042040.1106
PromptState the null and alternative hypotheses. Include a clear description of the populations and the variable.Explain why we can safely use the two-sample T-test in this case.Use StatCrunch to carry out the test. Copy and paste the content of in the StatCrunch output window (text and the table) in your initial post. State a conclusion in the context of this problem.ANSWER(S): (hint)Since we want to check whether the data supports the claim that
undergraduate students sleep less, on average, than graduate students,
we are testing:
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
We can safely use the two-sample T-test in this case since:
Both samples are random, and therefore independent.The sample sizes (75 and 50) are quite large, and therefore we can
proceed regardless of whether the populations are normal or not.
T = -1.23; P-value = 0.111Here is the StatCrunch output depicting these values.Two sample T hypothesis test:
μ
1
: Mean of undergraduate
μ
2
: Mean of graduate
H
0
:
μ
1
−
μ
2
=
0
H
a
:
μ
1
−
μ
2
<
0
(without pooled variances)
Hypothesis test results:
Difference
Sample Diff.
Sd. Err.
DF
T-Stat
P-Value
μ1 - μ2
-0.23333333
0.18963708
106.32776
-1.2304204
0.1106
The P-value (0.111) is greater than 0.05. This indicates that
the observed data is not unusual if undergraduate and graduate students,
on average, have the same mean for sleep hours. Therefore, the data do
not provide evidence to reject
H
0
. So we cannot conclude that undergraduate students sleep less, on average, than graduate students.

Participant Selection Discussion

Discussion: Participant SelectionRecall from your previous research classes that creating a sample for a qualitative study ...

Participant Selection Discussion

Discussion: Participant SelectionRecall from your previous research classes that creating a sample for a qualitative study is guided by very different principles than for those that guide quantitative study.To prepare for this Discussion:There are “rules of thumb” that guide each qualitative approach. Review Patton’s chapter on sampling types, and study sampling strategies in research articles on the approach you have chosen.Review the articles on data saturation and theoretical saturation, and consider which criteria you will follow to estimate “how many.” Remember, in qualitative research, one case can be enough. If your phenomenon is complex or you are interested in a range of experiences, then you will need more cases.Reflect on your research problem and question. What are the essential characteristics of participants that you want to recruit?By Day 3Prepare a Discussion post in which you address the following:Present the most current version of your research question and state the phenomenon of interest.Describe the criteria for inclusion and exclusion.Describe in detail the choices for sample size, data saturation, and theoretical saturation. Justify your choices with citations of research studies that use the same strategy and/or of methodological articles that describe the rationale.Put yourself in the participant’s position, and consider the assurances you would want to hear to ensure that your privacy is respected and that your identity will not be revealed when the study is published. Include those assurances in your invitation.

SOC 220 GCU How Society Influences in Human Trafficking Discussion

First, select a social problem to analyze throughout this course. You may select from the list or come up with a social pr ...

SOC 220 GCU How Society Influences in Human Trafficking Discussion

First, select a social problem to analyze throughout this course. You may select from the list or come up with a social problem you wish to analyze: EuthanasiaIlliteracyHuman TraffickingAlcohol abuseInequity in the workplace Drug AbusePovertyChild AbuseJuvenile DelinquencyEconomic inequality Remember, you will use your selected social problem to complete other assignments throughout this course.In an essay format, cite one scholarly source from the GCU library in addition to the textbook and complete the following:Describe your selected social problem in its social context. (55- 75words).Use your sociological imagination to explain how the selected social problem is influenced by society (75-100 words).Select the theoretical perspective(s) (functionalist, conflict, and interactionist) that best aligns with the social problem you’ve selected to analyze in this course.Explain why the theoretical perspective(s) you chose is best to explain the selected social problem.Next, use that theoretical perspective(s) to explain how your selected social problem came to be and how it is perpetuated. (150-200 words)

The first, a hypothesis test involving a single mean, is exemplified by another question about sardines. (There are not m ...

The first, a hypothesis test involving a single mean, is exemplified by another question about sardines. (There are not many exciting examples that illustrate this type of test.). The second type of hypothesis test is much more interesting and it involves the difference between two means (we call this a "difference in means" test.). You have been calculating differences in means using the health survey data; in this quiz, you will carry out a difference-in-means test using data on bicycle trip duration.*** Note: All the questions, except the last one, are answerable using pen and paper. Indeed, you will come away from this class with a much better understanding of the concepts if you try to work through them "by hand" rather than first going to the computer or calculator. Thus, in addition to answering the quiz, you are required to send to me your written answers. You may scan you answers and email to me a pdf or type up your answers in Word and email it to me. You must turn in individual, NOT group, writeups, and cases of clear copying will be considered cheating and given a final score of 0.1. True or False. In statistics, the result that in large enough samples, the mean of a random variableis normally distributed, regardless of how the random variable is distributed, is called the CentralLimit Theorem2.You observe five random numbers: 2,2,3,4,4. The mean of this data is 3. What is the standard deviation? (This should be done with a pen and paper, and the formula on p. 36, note 16 of(1,3,2,0.5)3.For a random variable with the mean and standard deviation you found in Question 2 above, what is standard deviation of the sample average in repeated samples where n=5? (In other words, what is the standard error of the sample mean when n=5?). Hints: To calculate the standard error, use the formula given in equation 1.6 of Mastering Metrics. The square root of 5 is 2.25.8/9 1 2 2/9 4/94. On a can of sardines it is written that the can contains 10 sardines. You open up 100 cans andfind the average is 9.75 sardines with a standard deviation of 1. What is the test statistic in a testof the null hypothesis that the population average is 10? Can you reject the null at the 5%significance level?-2.5; no -2.5; yes -.25; no-.25; yes5.The table below contains the raw data from Professor Rietz’s six bike trips between the trainstation and the MLK library. In addition to the date of the trip and the duration, it also tells thestarting location and the ending location. Time is in minutes, rounded to the nearest wholenumber. As you can infer, Prof. Rietz arrives at the train station at the start of the day, bikes tocampus, works on campus, and then bikes back to the station at the end of the day.The average duration of trips starting at the Train Station was ___ while the average duration oftrips starting at the Library was ___6; 1010; 69; 77; 96.Consider a test of the null hypothesis that there is no difference between the average duration oftrips that start at the Library and trips that start at the Train Station. Which of the following is theapproximate value of the appropriate test statistic for such a test? (Hint: use the test statisticformula in the middle of page 45 of MM; for the standard error that appears in the denominatorof the test statistic formula, use the separate-variance formula that appears in footnote 17.)3.81.22.44.23.77.True or False: Given the value of the test statistic you found above, is the effect of starting location on trip duration statistically significant?T/F

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