Calculus and Above

Calculus Questions? Ask a Mathematician for Answers ASAP

Connect one-on-one with {0} who will answer your question

2) We are given the...

2) We are given the following 5 number summary for GPA

Minimum Lower quartile QL Median Upper quartile

QU maximum

1.67 2.98 3.30 3.625 4.00

a. What percent of the data lies within the interval 1.67 to 3.30?

b. What percent of the data lies within the interval 1.67 to 4.00?

c. What percent of the data lies within the interval 2.98 to 4.00?

d. What percent of the data lies within the interval 2.98 to 3.625?

e. What is the IQR (Interquartile Range)?

1. 1.67 to 4.00

2. 2.98 to 3.625

3. 1.67 to 3.30

3) Given the sample mean of GPA, the sample SD, and the sample SE below:

Sample mean SD SE

3.2454 0.4635 0.0309

a. construct a 95% confidence interval for the population mean GPA

b. construct a 68% confidence interval for the population mean GPA

c. construct a 99.7% confidence interval for the population mean GPA

4) We wish to compare the GPAs of male and female Eberly College of Science undergraduates. We want to see if there is a difference in the GPAs for the two groups of students. The computer output from our analysis is below:

Two-Sample T-Test and CI: GPA, Gender

Gender N Mean StDev SE Mean

Female 126 3.277 0.469 0.042

Male 99 3.205 0.455 0.046

Difference = mu (Female) - mu (Male)

Estimate for difference: 0.071371

95% CI for difference: (-0.051222, 0.193964)

T-Test of difference = 0 (vs not =): T-Value = 1.15 P-Value = 0.252

a. What is the response variable?

b. What is the explanatory variable?

c. What type of data is the response variable? Measurement or categorical?

d. What population value will be used in our hypotheses? Population mean or Population proportion?

e. What type of samples do we have? Dependent (matched pairs) or Independent

f. What type of study is this? Observational or Randomized Experiment

g. What are the null and alternative hypotheses?

h. Given the confidence interval of the difference, what can we conclude? Why?

i. What is the interpretation of the p-value for the test statistic of 1.15?

j. What is our conclusion based on the p-value decision rule?

5) A researcher wants to see if gender plays a role in where we sit in a classroom. An analysis of survey data yields the following contingency table, chi-squared value, and p-value:

Tabulated statistics: Gender, Seating

Rows: Gender Columns: Seating

Back Front Middle All

Female 14 28 84 126

Male 18 18 63 99

All 32 46 147 225

Pearson Chi-Square = 2.469, DF = 2, P-Value = 0.291

a. What is the interpretation of the p-value for the Chi-Squared Statistic value of 2.469?

b. What is the conclusion based on the p-value?

c. What are the null and alternative hypotheses for this Chi-Squared Test?

6) A researcher wants to see if gender plays a role in whether a college student smokes. An analysis of survey data yields the following contingency table, chi-squared value, and p-value.

Tabulated statistics: Gender, Smoke Cigarettes

Rows: Gender Columns: Smoke Cigarettes

No Yes All

Female 119 7 126

Male 89 10 99

All 208 17 225

Cell Contents: Count

Pearson Chi-Square = 1.640, DF = 1, P-Value = 0.200

a. What is the risk of smoking for Female students?

b. What is the risk of smoking for Male students?

c. What is the relative risk of males to females?

d. What is the increased risk of males over females?

7) An analysis was done to see if there was a correlation between the number of days of class missed and a student’s GPA.

Correlations: Miss Class, GPA

Pearson correlation of Miss Class and GPA = -0.236

P-Value = 0.000

a. Given the sign and p-value of the correlation, what is your conclusion about the linear relationship between number of days of class missed and GPA?

8) A regression equation was calculated and is given below. The values for Miss Class are values such as 0, 1, 2, 3, 4, etc.

Regression Analysis: GPA versus Miss Class

The regression equation is

GPA = 3.32 - 0.0890 Miss Class

a. What is the response variable?

b. What is the explanatory variable?

c. Does the y-intercept have any logical interpretation?

d. Interpret the slope in terms of how GPA changes as Miss Class increases. Be specific.

Minimum Lower quartile QL Median Upper quartile

QU maximum

1.67 2.98 3.30 3.625 4.00

a. What percent of the data lies within the interval 1.67 to 3.30?

b. What percent of the data lies within the interval 1.67 to 4.00?

c. What percent of the data lies within the interval 2.98 to 4.00?

d. What percent of the data lies within the interval 2.98 to 3.625?

e. What is the IQR (Interquartile Range)?

1. 1.67 to 4.00

2. 2.98 to 3.625

3. 1.67 to 3.30

3) Given the sample mean of GPA, the sample SD, and the sample SE below:

Sample mean SD SE

3.2454 0.4635 0.0309

a. construct a 95% confidence interval for the population mean GPA

b. construct a 68% confidence interval for the population mean GPA

c. construct a 99.7% confidence interval for the population mean GPA

4) We wish to compare the GPAs of male and female Eberly College of Science undergraduates. We want to see if there is a difference in the GPAs for the two groups of students. The computer output from our analysis is below:

Two-Sample T-Test and CI: GPA, Gender

Gender N Mean StDev SE Mean

Female 126 3.277 0.469 0.042

Male 99 3.205 0.455 0.046

Difference = mu (Female) - mu (Male)

Estimate for difference: 0.071371

95% CI for difference: (-0.051222, 0.193964)

T-Test of difference = 0 (vs not =): T-Value = 1.15 P-Value = 0.252

a. What is the response variable?

b. What is the explanatory variable?

c. What type of data is the response variable? Measurement or categorical?

d. What population value will be used in our hypotheses? Population mean or Population proportion?

e. What type of samples do we have? Dependent (matched pairs) or Independent

f. What type of study is this? Observational or Randomized Experiment

g. What are the null and alternative hypotheses?

h. Given the confidence interval of the difference, what can we conclude? Why?

i. What is the interpretation of the p-value for the test statistic of 1.15?

j. What is our conclusion based on the p-value decision rule?

5) A researcher wants to see if gender plays a role in where we sit in a classroom. An analysis of survey data yields the following contingency table, chi-squared value, and p-value:

Tabulated statistics: Gender, Seating

Rows: Gender Columns: Seating

Back Front Middle All

Female 14 28 84 126

Male 18 18 63 99

All 32 46 147 225

Pearson Chi-Square = 2.469, DF = 2, P-Value = 0.291

a. What is the interpretation of the p-value for the Chi-Squared Statistic value of 2.469?

b. What is the conclusion based on the p-value?

c. What are the null and alternative hypotheses for this Chi-Squared Test?

6) A researcher wants to see if gender plays a role in whether a college student smokes. An analysis of survey data yields the following contingency table, chi-squared value, and p-value.

Tabulated statistics: Gender, Smoke Cigarettes

Rows: Gender Columns: Smoke Cigarettes

No Yes All

Female 119 7 126

Male 89 10 99

All 208 17 225

Cell Contents: Count

Pearson Chi-Square = 1.640, DF = 1, P-Value = 0.200

a. What is the risk of smoking for Female students?

b. What is the risk of smoking for Male students?

c. What is the relative risk of males to females?

d. What is the increased risk of males over females?

7) An analysis was done to see if there was a correlation between the number of days of class missed and a student’s GPA.

Correlations: Miss Class, GPA

Pearson correlation of Miss Class and GPA = -0.236

P-Value = 0.000

a. Given the sign and p-value of the correlation, what is your conclusion about the linear relationship between number of days of class missed and GPA?

8) A regression equation was calculated and is given below. The values for Miss Class are values such as 0, 1, 2, 3, 4, etc.

Regression Analysis: GPA versus Miss Class

The regression equation is

GPA = 3.32 - 0.0890 Miss Class

a. What is the response variable?

b. What is the explanatory variable?

c. Does the y-intercept have any logical interpretation?

d. Interpret the slope in terms of how GPA changes as Miss Class increases. Be specific.

Show More

Show Less

Was this answer helpful?

Describe your issueThe assistant will guide you

Chat 1:1 with a tutorLicensed Experts are available 24/7

100% satisfaction guaranteeGet all the answers you need

Related Calculus and Above Questions

Here is my LAST question. I am trying to figure out

Here is my LAST question. I am trying to figure out questions I can answer by running a few different analyses and/or hypothesis test(s). Using the data provided from a survey related to an employee e… read more

Does gender have anything to do with an individual's stance

Does gender have anything to do with an individual's stance on an issue?Gender Reduce the Deficit Increase the Deficit No Opinion Female 244 194 68 Male 305 114 25 At the .05 significance level, is it… read more

The age distribution of the Canadian population and the age

Second opinion] The age distribution of the Canadian population and the age distribution of a random sample of 455 residents in the Indian community of a village are shown below.Age (years) Percent of… read more

Week 4 Confidence Intervals and Chi Square (Chs 11 - 12) 3

Week 4 Confidence Intervals and Chi Square (Chs 11 - 12) For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your d… read more

1) 5 students from each class were randomly selected from all

1) 5 students from each class were randomly selected from all 44 different undergraduate classes in the Eberly College of Science at Penn State. The 220 undergraduate students completed an anonymous s… read more

Using the SPSS Output from Case Exhibit 22.1-1 on page 551

Using the SPSS Output from Case Exhibit 22.1-1 on page 551 of your textbook, comment on the appropriateness of the statistical test used (make sure that your response includes information on the types… read more

Hi, I need some help with my Statistics exam. Forty questions.

Hi, I need some help with my Statistics exam. Forty questions. U did not ask me for my 40 questions. At what point do I post them?… read more

For R.R. Jha, please help with the following SPSS data interpretation: Part

For R.R. Jha, please help with the following SPSS data interpretation: Part 1: Correlation between Cost and Calories (correlation coefficient, the significance of the correlation coefficient, i.e., p-… read more

Above 1. Given the significance level 0.025, the F-value for

Above 1. Given the significance level 0.025, the F-value for the degrees of freedom, df = (7,3) is A. 14.62. B. 8.45. C. 27.67. D. 5.89. 2. Which of the following statements are true regarding the sim… read more

I need help whit the following 10 questions. 1. The probability

I need help whit the following 10 questions. 1. The probability that the actual population mean will be outside of the 98% confidence interval is: 1 % 2 % 4 % 5 % 2. The Chi-square test is very sensit… read more

Pen Foster Exam 250714RR1. Another name for the residual

Penn Foster Exam 250714RR 1. Another name for the residual term in a regression equation is A. residual analysis. B. random error. C. homoscedasticity. D. pooled variances. 2. A chi-square test for in… read more

1. Given the significance level 0.025, the F-value for the

1. Given the significance level 0.025, the F-value for the degrees of freedom, df = (7,3) is A. 14.62. B. 8.45. C. 27.67. D. 5.89. 2. Which of the following statements are true regarding the simple li… read more

The questions that I need answer are already on the site just

The questions that I need answer are already on the site just need the answers for 1. The Chi-square test is very sensitive to small differences in frequency differences. (Points : 1) True False Quest… read more

. Using the MM207 Student Data Set: a) What is the correlation

. Using the MM207 Student Data Set: a) What is the correlation between student cumulative GPA and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch … read more

1) 5 students from each class were randomly selected from

1) 5 students from each class were randomly selected from all 44 different undergraduate classes in the Eberly College of Science at Penn State. The 220 undergraduate students completed an anonymous s… read more

1. Using the MM207 Student Data Set: a) What is the correlation

1. Using the MM207 Student Data Set: a) What is the correlation between student cumulative GPA and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch… read more

Conduct a two-tailed hypothesis test given the information

Conduct a two-tailed hypothesis test given the information below. Assuming that the population variances are equal for male and female Grade Point Averages (GPAs), use the following sample data to tes… read more

14) Sound engineers studied factors that might affect the output,

14) Sound engineers studied factors that might affect the output, in decibels, of a rock concert's speaker system. The desired level of significance was a = .05. The results of their ANOVA tests are s… read more

Disclaimer: Information in questions, answers, and other posts on this site ("Posts") comes from individual users, not JustAnswer; JustAnswer is not responsible for Posts. Posts are for general information, are not intended to substitute for informed professional advice (medical, legal, veterinary, financial, etc.), or to establish a professional-client relationship. The site and services are provided "as is" with no warranty or representations by JustAnswer regarding the qualifications of Experts. To see what credentials have been verified by a third-party service, please click on the "Verified" symbol in some Experts' profiles. JustAnswer is not intended or designed for EMERGENCY questions which should be directed immediately by telephone or in-person to qualified professionals.

Ask-a-doc Web sites: If you've got a quick question, you can try to get an answer from sites that say they have various specialists on hand to give quick answers... Justanswer.com.

JustAnswer.com...has seen a spike since October in legal questions from readers about layoffs, unemployment and severance.

Web sites like justanswer.com/legal

...leave nothing to chance.

...leave nothing to chance.

Traffic on JustAnswer rose 14 percent...and had nearly 400,000 page views in 30 days...inquiries related to stress, high blood pressure, drinking and heart pain jumped 33 percent.

Tory Johnson, GMA Workplace Contributor, discusses work-from-home jobs, such as JustAnswer in which verified Experts answer people’s questions.

I will tell you that...the things you have to go through to be an Expert are quite rigorous.

Wonderful service, prompt, efficient, and accurate. Couldn't have asked for more. I cannot thank you enough for your help.

Freshfield, Liverpool, UK

This expert is wonderful. They truly know what they are talking about, and they actually care about you. They really helped put my nerves at ease. Thank you so much!!!!

Los Angeles, CA

Thank you for all your help. It is nice to know that this service is here for people like myself, who need answers fast and are not sure who to consult.

Hesperia, CA

I couldn't be more satisfied! This is the site I will always come to when I need a second opinion.

Kernersville, NC

Just let me say that this encounter has been entirely professional and most helpful. I liked that I could ask additional questions and get answered in a very short turn around.

Woodstock, NY

Thank you so much for taking your time and knowledge to support my concerns. Not only did you answer my questions, you even took it a step further with replying with more pertinent information I needed to know.

Elkton, Maryland

He answered my question promptly and gave me accurate, detailed information. If all of your experts are half as good, you have a great thing going here.

Dallas, TX

< Previous | Next >

Mr. Gregory White

Master's Degree

114 satisfied customers

M.A., M.S. Education / Educational Administration

SusanAthena

Master's Degree

102 satisfied customers

Tutor for Algebra, Geometry, Statistics. Explaining math in plain English.

Dr Arthur Rubin

Doctoral Degree

97 satisfied customers

Ph.D. in Mathematics, 1978, from the California Institute of Technology, over 20 published papers

JACUSTOMER-yrynbdjl-

Master's Degree

42 satisfied customers

I have a MS in Mathematics and I have taught Mathematics for 10 years at the college level.

Don

Master's Degree

29 satisfied customers

M.S. Astronautical Engineering. Math/Sci/Comp Tutor

Kofi

PhD in Statistics

8,735 satisfied customers

Masters in Mathematics and Statistics

Sandhya_sharma

Master's Degree

5,692 satisfied customers

I hold M.Sc and M.Phil degrees in math and have several years of teaching experience.

< Previous | Next >

Disclaimer: Information in questions, answers, and other posts on this site ("Posts") comes from individual users, not JustAnswer; JustAnswer is not responsible for Posts. Posts are for general information, are not intended to substitute for informed professional advice (medical, legal, veterinary, financial, etc.), or to establish a professional-client relationship. The site and services are provided "as is" with no warranty or representations by JustAnswer regarding the qualifications of Experts. To see what credentials have been verified by a third-party service, please click on the "Verified" symbol in some Experts' profiles. JustAnswer is not intended or designed for EMERGENCY questions which should be directed immediately by telephone or in-person to qualified professionals.