b. The test statistic zv -1.087 x (please show your answer to 3 decimal places.)c. The p-value = 0.1385 x (Please show your answer to 4 decimal places.)d. The p-value is >the null hypothesis.O The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the population proportion of freshmen women at Oxnard College who attend orientation isless than the population proportion of freshmen men at Oxnard College who attendorientation.e. Based on this, we should fail to rejectf. Thus, the final conclusion is that ...The results are statistically insignificant at a = 0.10, so there is statistically significantevidence to conclude that the population proportion of freshmen women at Oxnard Collegewho attend orientation is the same as the population proportion of freshmen men at OxnardCollege who attend orientation.The results are statistically insignificant at a = 0.10, so there is insufficient evidence toconclude that the population proportion of freshmen women at Oxnard College who attendorientation is less than the population proportion of freshmen men at Oxnard College whoattend orientation.The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the proportion of the 655 freshmen women who attended orientation is less than theproportion of the 636 freshmen men who attended orientation. The director of student services at Oxnard College is interested in whether women are less likely to attendorientation than men before they begin their coursework. A random sample of freshmen at Oxnard Collegewere asked what their gender is and whether they attended orientation. The results of the survey areshown below:Data for Gender vs.OrientationAttendanceWomen MenYes 338No 317349287What can be concluded at the a= 0.10 level of significance?For this study, we should use z-test for the difference between two population proportionsa. The null and alternative hypotheses would be:Ho: p1p2(please enter a decimal and notethat p1 and μl represent the proportion and mean for women and p2 and 2 represent the proportion andmean for men.)

We have given thatn1 = 338 + 317 = 655 , x1 = 338n2 = 349 + 287 = 636 , x2 = 349 Significance level…

Answered: The director of student services at…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A researcher is analyzing regional differences in family size. She has information on the number of children for samples of families from four different regions. Which statistical test should she conduct?
In a study of three nationally representative large- scale data sets from Ireland, the United States, and the United Kingdom (n = 17,247), teenagers between the ages of 12 to 15 were asked to keep a diary of their screen time and answer questions about how they felt or acted. Identify the explanatory variables. Comment on wheter the results of the study can be generalized to the population and why
Please find question details in the attached picture.
A research article stated that there was a mean difference in depressive symptoms between male and female clients. The significance level for this study was set at .05. The p value obtained was .075. What does this mean? Explain.
A researcher wants to study whether there is a relationship between personality type and the type of class they sign up for. Below is the observed frequency table. Use a 5% significance level to test it. Type of Class In-Person Online Personality Type Introvert 15 27 42 Extrovert 35 23 58 50 50 n=100
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $850 , and the sample standard deviation was sa = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : Hd is equal to 0 Ha : Hd is less than or equal to 0 b. Use a = 0.05 level of significance. Can you conclude that the population means differ? differ What is the p-value? (to 6 decimals) C. Which category,…
A scientific study was conducted to determine the hours of sleep that college students get per night. The study surveyed 24 college students and obtained the following data: 8.2, 7.9, 9, 8, 9.1, 7.8, 8.4, 8.4, 7.3, 7.4, 8.5, 7.4, 7.9, 7.7, 9.7, 9.1, 7.1, 7.9, 7.8, 8.1, 8.3, 8.2, 6.5, 10.3 Assuming the population standard deviation is o = average hours of sleep per night that college students get. 1.01, construct a 97% confidence interval for the Ζα Margin of Error: E We are 97% confident that college students get an average of between hours and hours of sleep per night.
In the United States, standardized testing is used to compare students' knowledge retention across the country. States will often use the results of standardized testing to allocate funding to districts within the state. One state in particular wanted to determine whether there was a difference in scores between schools on the eastern side of the state and schools on the western side of the state. A random sample of 30 schools on the eastern side and 35 schools on the western side were chosen. The mean score for the eastern schools was x1 = 109 with a standard deviation of 5.3. The mean score for the western schools was x2 = 104 with a standard deviation of 4.4. We would like to estimate the difference in the mean standardized scores from the eastern schools and western schools and determine the margin of error of this estimate with 98% confidence. (a) Determine the point estimate for the difference in mean standardized scores for the eastern and western sides of the state, ?1 −…
only parts D, E, & F
The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men 360 380 Yes 327 No 318 What can be concluded at the a = 0.01 level of significance?
Does a person's letter grade in statistics depend on whether he or she is a statistics major? In three statistics classes, you collect data on the letter grades of students who are statistics majors and students who are not statistics majors. What would you use to analyze the data? a. independent-samples t test b. chi square test of independence c. Mann–Whitney U test d. Spearman rank-order correlation coefficient
You may need to use the appropriate technology to answer this question. Forty-minute workouts of one of the following activities three days a week will lead to a loss of weight. Suppose the following sample data show the number of calories burned during 40-minute workouts for three different activities Swimming Tennis Cycling 403 410 380 375 485 250 420 455 290 405 415 397 427 525 273 Do these data indicate differences in the amount of calories burned for the three activities? Use a 0.05 level of significance. State the null and alternative hypotheses. O H: Median, = Median, = Median. H: Medians + Median, + Median. O Ho: Median, + Median, + Median. H: Median, - Median, = Median. O H,: Not all populations of calories burned are identical. H: All populations of calories burned are identical. O Ho: All populations of calories burned are identical. H: Not all populations of calories burned are identical. O Hg: Mediang = Median, = Medianc H: Median, Median. Find the value of the test…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS