B) Imagine now, that we want to reexamine the data we collected in the last HW and find out ifthere are differences in in the amount of math anxiety felt after taking a statistics classdepending on the type of class taken. Specifically, we believe psych stats students (X) willreport experiencing less math anxiety after completing the course compared to other statsstudents (Y).X1223243732Y35435313561) Report our null and alternative hypotheses:Provided again is the sample of students that we recruited divided byclass standing (see above), and the mean and standard deviation for each class (seebelow):X = 2.90 SDX = 1.66Y = 3.80SDy = 1.482) Given the information we have, what specific t-test do we need to run in order toexamine our hypothesis?3) Calculate the appropriate statistic to address our hypothesis (remember to report theformula for the statistic you use): 4) Is this a one- or two-tailed test? Given that we are setting a = .05, what is the criticalvalue for the statistical test we are conducting given our data set and hypothesis? If weneed to calculate degrees of freedom to identify the critical value, be sure to report theformula and the value you calculate:5) In words, interpret what the significance testing tells us about how our samplescompares to each other on our variable of interest (describe the variable). Also, reportthe results in APA format:1.99

As per our guidelines I can solve only first 3 subparts. Kindly post the remaining subparts again…

Answered: B) Imagine now, that we want to…

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

ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5
2. It is known that the student score data in a class is as follows: 9, 8, 6, 7, 7, 8, 5, 3, 6, 7 Describe the data in terms of central tendency!
We will refer to the data table below as "Facebook_Survey_Sample". In the first column 1:="yes" and 0:="no" In the "Gender" column 1:="Female" and 0:="Male" VisitsPerWeek Friends 1 45 100 0 0 1 25 60 1 40 80 m 1 40 60 0 0 1 15 40 1 30 25 80 150 90 Facebook 1 1 200 Age 34 65 46 29 21 25 22 18 42 52 Gender 1 0 0 1 1 1 1 1 Make a scatter plots by sex for VistsPerWeek vs. Friends for those in the Facebook_Survey_Sample who have a facebook account.
The following are the course grades of a statistics student (in order of performance) from his first year of study: 3, 4, 4, 1, 5, 5, 2, 3, 4. Does the material prove that the student's academic success improved (measured in course grades) as the first academic year progressed?
An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…
The dataset HollywoodMovies - 2e contains information on 970 movies that came out of Hollywood between 2007 and 2013. One of the variables is the budget (in millions of dollars) to make the movie. What would be the relevant parameter and statistic for this problem (think -- is this categorical or quantitative)? O u: The mean budget of all Hollywood Movies made between 2007 and 2013. O p: The average proportion of budgets of Hollywood Movies made between 2007 and 2013. T: The mean budget of all Hollywood Movies made between 2007 and 2013. Op: The proportion of Hollywood Movies made between 2007 and 2013.
4. If no values are repeated, then a data set doesn't have a mode. True False
. Dr. Hafen is doing research on the effects of study time (how many minutes students study) on test performance (their score on an exam). He hypothesizes that the amount of study time will impact an individual’s performance on the exam. Then Dr. Hafen collects data on 100 students. He collects data on their ‘study time’ and their ‘exam performance’, then runs a Pearson correlation. In your own words, please describe what Dr. Hafen’s null hypothesis would be and what Dr. Hafen’s alternative hypothesis would be. If Dr. Hafen makes a Type I error, what would that mean in the context of this study? If he makes a Type II error, what would that mean in the context of this study?
What would you conclude if 8 pairs of data produce a linear correlation coefficient of r = – 0.608 if the significance level is 0.01. Must show critical value and decision before writing the conclusion.
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…
What are the reasons why causal conclusions cannot be made from a correlation?
What would you conclude if 17 pairs of data produce a linear correlation coefficient of r = 0.456 if the significance level is 0.05. Must show critical value and decision before writing the conclusion.

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