Statistics homework help

STAT200 – Final Exam
200 points – Due: Tuesday, December 15th.
Please provide a complete response to each item. Include a sketch, calculations,
rationale written using proper statistical language, and any conclusions drawn from the
context of the problem, as necessary.
1. Determine whether the discrete random variable is discrete or continuous. In
each case, state the possible values of the random variable.
a. The number of students in a randomly selected third-grade classroom.
b. The amount of snow that falls in Delaware during the winter season.
c. The flight time accrued by a randomly selected Air Force fighter pilot.
d. The number of points scored by the Duke Blue Devils during a randomly
selected basketball game.
2. The number of chocolate chips in an 18-ounce bag of Chips Ahoy! chocolate chips
is approximately normally distributed with a mean of 1262 chips and a standard
deviation of 118 chips according to a study by cadets in the U.S. Air Force
Academy.
a. What is the probability that a randomly selected 18-ounce bag of Chips
Ahoy! contains between 1100 and 1300 chocolate chips, inclusive?
b. What proportion of 18-ounce bag of Chips Ahoy! contains fewer than 1125
chips?
c. What is the percentile rank of an 18-ounce bag of Chips Ahoy! that
contains 1350 chocolate chips?
STAT200: F2/20 – MDonovan 1
3. The General Social Survey asked: “How many emails do you send in a day?” The
results of 928 respondents indicate that the mean number of emails sent in a day
is 10.4 with a standard deviation of 28.5.
a. Given the fact that 1 standard deviation to the left of the mean results in a
negative number of emails being sent, what shape would you expect the
distribution of emails sent to have?
b. Construct and interpret a 90% confidence interval for the mean number of
emails sent per day.
4. Man-ly Muscles? Young men in North America and Europe (but not in Asia) tend
to think they need more muscle to be attractive. One study presented 200 young
American men with 100 images of men with various levels of muscle.
Researchers measured the level of muscle in kilograms per square meter (kg/m2)
of fat-free body mass. Typical young men have about 20 kg/m2
. Each subject
chose two images, one that represented his own level of body muscle, and one he
thought represented “what women prefer.” The mean gap between self-image
and “what women prefer” was 2.35 kg/m2
.
Suppose that the “muscle gap” in the population of all young men has a Normal
distribution with a standard deviation of 2.5 kg/m2
. Give a 90% confidence
interval for the mean amount of muscle young men think they should have to be
attractive to women.
Note: A second study was done surveying women, it showed women actually prefer a level close to that of a ”typical man”.
5. More Muscle? If young men thought that their own level of muscle was about
what women prefer, the mean “muscle gap”, discussed in a previous exercise,
would be 0. We suspect (before seeing the data) that young men think women
prefer more muscles than they themselves have.
a. State the null and alternative hypotheses for testing this suspicion.
b. What is the value of the test statistic z ?
c. State a complete conclusion.
STAT200: F2/20 – MDonovan 2
6. According to the Centers for Disease Control and Prevention, 16.8% of high
school students currently use electronic cigarettes. A high school counselor is
concerned that the use of e-cigs at his school is actually higher.
a. Determine the null and alternative hypotheses.
b. If the sample data indicate that the null hypothesis should not be rejected,
state the conclusion of the school counselor.
.
7. In December 2005, 38% of adults with children under the age of 18 reported that
their family ate dinner together seven nights a week. In a recent poll, 503 of 1232
adults with children under the age of 18 reported that their family ate dinner
together seven nights a week. Has the proportion of families with children under
the ages of 18 who eat dinner together seven nights a week increased? Test at the
0.05 significance level.
8. Researchers at Harris Interactive wondered if there was a difference between
males and females in regard to some common annoyances. They asked a random
sample of males and females, the following question:
“Are you annoyed by people who repeatedly check their mobile phones while
having an in-person conversation?”
● Among the 540 males surveyed, 178 responded “Yes”
● Among the 560 females surveyed, 206 responded “Yes”
a. Does the evidence suggest a higher proportion of females are annoyed by
this behavior? State the null and alternative hypotheses?
b. Determine and interpret the p-value.
c. At the 0.05 level of significance, what is the conclusion of the hypothesis
test?
STAT200: F2/20 – MDonovan 3
9. A researcher for the U.S. Department of Treasury wishes to estimate the
percentage of Americans who support abolishing the penny. What size sample
should be obtained if she wishes the estimate to be within 2 percentage points
with 98% confidence level, if:
a. she uses a 2006 estimate of 28% obtained from a Coinstar National
Currency Poll?
b. she does not use any prior estimate?
10. The following data represent the number of days absent from class, x, and the
final grade, y, for a sample of college students grade in an introductory statistics
course at a large state university.
a. Find the least-squares regression line treating the number of absences as
the explanatory variable and final grade as the response variable.
b. Interpret the slope and y-intercept, as appropriate.
c. Predict the final grade for a student who misses five class periods and
compute the residual. Is the final grade above or below average for this
number of absences?
STAT200: F2/20 – MDonovan 4
No. of
absences, x 0 1 2 3 4 5 6 7 8
Final
grade, y 92.4 88.4 83.5 77.4 73.2 68.8 67.5 60.0 55.0

Statistics homework help

STAT200 – Final Exam
200 points – Due: Tuesday, December 15th.
Please provide a complete response to each item. Include a sketch, calculations,
rationale written using proper statistical language, and any conclusions drawn from the
context of the problem, as necessary.
1. Determine whether the discrete random variable is discrete or continuous. In
each case, state the possible values of the random variable.
a. The number of students in a randomly selected third-grade classroom.
b. The amount of snow that falls in Delaware during the winter season.
c. The flight time accrued by a randomly selected Air Force fighter pilot.
d. The number of points scored by the Duke Blue Devils during a randomly
selected basketball game.
2. The number of chocolate chips in an 18-ounce bag of Chips Ahoy! chocolate chips
is approximately normally distributed with a mean of 1262 chips and a standard
deviation of 118 chips according to a study by cadets in the U.S. Air Force
Academy.
a. What is the probability that a randomly selected 18-ounce bag of Chips
Ahoy! contains between 1100 and 1300 chocolate chips, inclusive?
b. What proportion of 18-ounce bag of Chips Ahoy! contains fewer than 1125
chips?
c. What is the percentile rank of an 18-ounce bag of Chips Ahoy! that
contains 1350 chocolate chips?
STAT200: F2/20 – MDonovan 1
3. The General Social Survey asked: “How many emails do you send in a day?” The
results of 928 respondents indicate that the mean number of emails sent in a day
is 10.4 with a standard deviation of 28.5.
a. Given the fact that 1 standard deviation to the left of the mean results in a
negative number of emails being sent, what shape would you expect the
distribution of emails sent to have?
b. Construct and interpret a 90% confidence interval for the mean number of
emails sent per day.
4. Man-ly Muscles? Young men in North America and Europe (but not in Asia) tend
to think they need more muscle to be attractive. One study presented 200 young
American men with 100 images of men with various levels of muscle.
Researchers measured the level of muscle in kilograms per square meter (kg/m2)
of fat-free body mass. Typical young men have about 20 kg/m2
. Each subject
chose two images, one that represented his own level of body muscle, and one he
thought represented “what women prefer.” The mean gap between self-image
and “what women prefer” was 2.35 kg/m2
.
Suppose that the “muscle gap” in the population of all young men has a Normal
distribution with a standard deviation of 2.5 kg/m2
. Give a 90% confidence
interval for the mean amount of muscle young men think they should have to be
attractive to women.
Note: A second study was done surveying women, it showed women actually prefer a level close to that of a ”typical man”.
5. More Muscle? If young men thought that their own level of muscle was about
what women prefer, the mean “muscle gap”, discussed in a previous exercise,
would be 0. We suspect (before seeing the data) that young men think women
prefer more muscles than they themselves have.
a. State the null and alternative hypotheses for testing this suspicion.
b. What is the value of the test statistic z ?
c. State a complete conclusion.
STAT200: F2/20 – MDonovan 2
6. According to the Centers for Disease Control and Prevention, 16.8% of high
school students currently use electronic cigarettes. A high school counselor is
concerned that the use of e-cigs at his school is actually higher.
a. Determine the null and alternative hypotheses.
b. If the sample data indicate that the null hypothesis should not be rejected,
state the conclusion of the school counselor.
.
7. In December 2005, 38% of adults with children under the age of 18 reported that
their family ate dinner together seven nights a week. In a recent poll, 503 of 1232
adults with children under the age of 18 reported that their family ate dinner
together seven nights a week. Has the proportion of families with children under
the ages of 18 who eat dinner together seven nights a week increased? Test at the
0.05 significance level.
8. Researchers at Harris Interactive wondered if there was a difference between
males and females in regard to some common annoyances. They asked a random
sample of males and females, the following question:
“Are you annoyed by people who repeatedly check their mobile phones while
having an in-person conversation?”
● Among the 540 males surveyed, 178 responded “Yes”
● Among the 560 females surveyed, 206 responded “Yes”
a. Does the evidence suggest a higher proportion of females are annoyed by
this behavior? State the null and alternative hypotheses?
b. Determine and interpret the p-value.
c. At the 0.05 level of significance, what is the conclusion of the hypothesis
test?
STAT200: F2/20 – MDonovan 3
9. A researcher for the U.S. Department of Treasury wishes to estimate the
percentage of Americans who support abolishing the penny. What size sample
should be obtained if she wishes the estimate to be within 2 percentage points
with 98% confidence level, if:
a. she uses a 2006 estimate of 28% obtained from a Coinstar National
Currency Poll?
b. she does not use any prior estimate?
10. The following data represent the number of days absent from class, x, and the
final grade, y, for a sample of college students grade in an introductory statistics
course at a large state university.
a. Find the least-squares regression line treating the number of absences as
the explanatory variable and final grade as the response variable.
b. Interpret the slope and y-intercept, as appropriate.
c. Predict the final grade for a student who misses five class periods and
compute the residual. Is the final grade above or below average for this
number of absences?
STAT200: F2/20 – MDonovan 4
No. of
absences, x 0 1 2 3 4 5 6 7 8
Final
grade, y 92.4 88.4 83.5 77.4 73.2 68.8 67.5 60.0 55.0

Statistics homework help

Research Problem:  Sprague, et al (2011) proposed that, in addition to the frustration-aggression model originally proposed by Dollard et al (1939), among low income male adolescents, feelings of hostility, Social Support,  and perceived stress may be also related to aggressive behavior.   To test this hypothesis, a random sample of fifty adolescent males attending Hillcrest High School in Queens (NY) were recruited to participate in the study.  To assess their levels of  frustration, stress, hostility, and Social Support each student completed the Frustration Discomfort Scale (X1; Frust; Harrington, 2005) the Perceived Stress Scale (X2; PSS: Cohen, Kamarck, Mermelstein, 1983), the Buss-Durkee Hostility Inventory (X3; BDHI; Buss & Durkee, 1957), and the Online Social Support Scale (X4; Nick, et al, 2018). In addition, for each student, the number of documented classroom aggressive behaviors (Y, Agress) occurring during the week following completion of the questionnaires, was provided by the high school’s Dean of Student’s Office.  The data for the study is in the attached SPSS data file labelled “Week 2  PSS_BDHI_Frust_SS_Agress_v2,.sav”.
Assignment Requirements:
1) Write a null and alternative hypothesis which is specific to this research question.
2) Using the attached SPS data file conduct a Multiple Regression Analyses (MRA) to determine if feelings of Frustration, Stress, and Hostility are significantly related to aggression, Summarize the results in correct APA style.  Use my sample summary as a model for your summary.
3) Conduct exploratory data analyses and a multiple regression analysis (MRA) in SPSS in which Aggression is the DV and  Frust., PSS and DBHI are the IVs.
4) Be sure to state the goals of the study, the sample and method.  Describe the variables, and the statistical model employed to test the research hypothesis that Frustration, Stress, and Hostility are significant predictors of aggression.
5) Determine of the data meets the assumptions for MRA
6) Report and interpret R2, R2adj, and 1-R2. Report and interpret the results for the F-test for the significance of R2.  Report F, dfs, and the p-value for the significance of F in correct APA style
7) Based on the F test (above), do you conclude that Frust. PSS and BDHI account for a significant proportion of the variability in Aggression?  Explain your answer
8) Report and interpret the results for the significance test for each unstandardized regression coefficient in correct APA style. And, report/interpret  the semipartial correlation sry(1.2) and sry(1.2)2  for all predictor variables
9) Based on your analysis is the direct relationship between Frustration, PSS, BDHI  and Aggression  significant after controlling for the other variables in the model.  Be sure to explain the impact of each predictor variable on aggression, include the nature of the relationships (positive or negative)P and the strength of the effect size sr2.
  • attachment

    Week2PSS_BDHI_Frust_SS_Agress_v2.sav

Statistics homework help

Research Problem:  Sprague, et al (2011) proposed that, in addition to the frustration-aggression model originally proposed by Dollard et al (1939), among low income male adolescents, feelings of hostility, Social Support,  and perceived stress may be also related to aggressive behavior.   To test this hypothesis, a random sample of fifty adolescent males attending Hillcrest High School in Queens (NY) were recruited to participate in the study.  To assess their levels of  frustration, stress, hostility, and Social Support each student completed the Frustration Discomfort Scale (X1; Frust; Harrington, 2005) the Perceived Stress Scale (X2; PSS: Cohen, Kamarck, Mermelstein, 1983), the Buss-Durkee Hostility Inventory (X3; BDHI; Buss & Durkee, 1957), and the Online Social Support Scale (X4; Nick, et al, 2018). In addition, for each student, the number of documented classroom aggressive behaviors (Y, Agress) occurring during the week following completion of the questionnaires, was provided by the high school’s Dean of Student’s Office.  The data for the study is in the attached SPSS data file labelled “Week 2  PSS_BDHI_Frust_SS_Agress_v2,.sav”.
Assignment Requirements:
1) Write a null and alternative hypothesis which is specific to this research question.
2) Using the attached SPS data file conduct a Multiple Regression Analyses (MRA) to determine if feelings of Frustration, Stress, and Hostility are significantly related to aggression, Summarize the results in correct APA style.  Use my sample summary as a model for your summary.
3) Conduct exploratory data analyses and a multiple regression analysis (MRA) in SPSS in which Aggression is the DV and  Frust., PSS and DBHI are the IVs.
4) Be sure to state the goals of the study, the sample and method.  Describe the variables, and the statistical model employed to test the research hypothesis that Frustration, Stress, and Hostility are significant predictors of aggression.
5) Determine of the data meets the assumptions for MRA
6) Report and interpret R2, R2adj, and 1-R2. Report and interpret the results for the F-test for the significance of R2.  Report F, dfs, and the p-value for the significance of F in correct APA style
7) Based on the F test (above), do you conclude that Frust. PSS and BDHI account for a significant proportion of the variability in Aggression?  Explain your answer
8) Report and interpret the results for the significance test for each unstandardized regression coefficient in correct APA style. And, report/interpret  the semipartial correlation sry(1.2) and sry(1.2)2  for all predictor variables
9) Based on your analysis is the direct relationship between Frustration, PSS, BDHI  and Aggression  significant after controlling for the other variables in the model.  Be sure to explain the impact of each predictor variable on aggression, include the nature of the relationships (positive or negative)P and the strength of the effect size sr2.
  • attachment

    Week2PSS_BDHI_Frust_SS_Agress_v2.sav

Statistics homework help

Have you ever wondered about the likelihood of an event occurring? Whether it’s the odds of your favorite football
team winning on Sunday or how much you pay for car insurance, probability concepts can play a role in making
those determinations.
Respond to the following questions in a minimum of 175 words:
Consider a situation that you might need to use your understanding of probability to make an informed decision.
What sorts of information would you collect?
How might you use what you have learned about probability to determine a course of action?
What are the possible benefits and limitations of this approach?

Statistics homework help

Have you ever wondered about the likelihood of an event occurring? Whether it’s the odds of your favorite football
team winning on Sunday or how much you pay for car insurance, probability concepts can play a role in making
those determinations.
Respond to the following questions in a minimum of 175 words:
Consider a situation that you might need to use your understanding of probability to make an informed decision.
What sorts of information would you collect?
How might you use what you have learned about probability to determine a course of action?
What are the possible benefits and limitations of this approach?

Statistics homework help

Have you ever wondered about the likelihood of an event occurring? Whether it’s the odds of your favorite football
team winning on Sunday or how much you pay for car insurance, probability concepts can play a role in making
those determinations.
Respond to the following questions in a minimum of 175 words:
Consider a situation that you might need to use your understanding of probability to make an informed decision.
What sorts of information would you collect?
How might you use what you have learned about probability to determine a course of action?
What are the possible benefits and limitations of this approach?

Statistics homework help

Have you ever wondered about the likelihood of an event occurring? Whether it’s the odds of your favorite football
team winning on Sunday or how much you pay for car insurance, probability concepts can play a role in making
those determinations.
Respond to the following questions in a minimum of 175 words:
Consider a situation that you might need to use your understanding of probability to make an informed decision.
What sorts of information would you collect?
How might you use what you have learned about probability to determine a course of action?
What are the possible benefits and limitations of this approach?

Statistics homework help

Have you ever wondered about the likelihood of an event occurring? Whether it’s the odds of your favorite football
team winning on Sunday or how much you pay for car insurance, probability concepts can play a role in making
those determinations.
Respond to the following questions in a minimum of 175 words:
Consider a situation that you might need to use your understanding of probability to make an informed decision.
What sorts of information would you collect?
How might you use what you have learned about probability to determine a course of action?
What are the possible benefits and limitations of this approach?