What is the average volunteering time for females and males?[OBJ ........What is the value of t?.... What is the critical value of t, assuming a one tailed test, and a .05 level of significance? Is ourt - value significant according to the value of previous question ..Males 20, 25, 35, 40, 36, 24 Females 35, 39, 38, 43, 50, 49 ова What is the average volunteering time for females and males?.... Whatis the value of t?.... What is the critical value of t, assuming a one tailedtest, and a .05 level of significance? Is our t - value significant according tothe value of previous question Males 20, 25, 35, 40, 36, 24 Females35, 39, 38, 43, 50, 490BJ

The objective of the question is to calculate the average volunteering time for males and females,…

What is the average volunteering time for females and males?.... What is the value of t?.... What is the critical value of t, assuming a one tailed test, and a .05 level of significance? Is our t - value significant according to the value of previous question Males 20, 25, 35, 40, 36, 24 Females 35, 39, 38, 43, 50, 490BJ

What is the average volunteering time for females and males?.... What is the value of t?.... What is the critical value of t, assuming a one tailed test, and a .05 level of significance? Is our t - value significant according to the value of previous question Males 20, 25, 35, 40, 36, 24 Females 35, 39, 38, 43, 50, 490BJ

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

6. An experiment measured the level of CPK in the blood of ten runners and ten cyclists, both before and after exercise. Runners Cyclists Mean St. Dev. Mean St. Dev. Before exercise 255.63 115.58 173.8 90.69 After exercise 284.75 132.64 177.1 64.53 Difference 29.12 21.01 3.3 6.85 a) Test whether there is significant difference between the CPK values of runners and cyclists before exercise at the a = 0.05 level, assuming that the standard deviations are different for these populations. b) Find a 95% confidence interval for the difference of CPK values of runners and cyclists before exercise. c) Test at the a = 0.05 level whether there is a significant increase in the CPK levels of cyclists before and after exercise.
What is the proper statistical test use in this situation?
3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
To investigate if female executives in a very large fortune 500 company are experiencing pay-discrimination: A researcher samples the incomes of 300 male and 300 female executives from that corporation. 1.) Which statistic would you use to test the income difference between male and female executives? 2.) What additional information do you need to calculate this statistic?
Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
When investigating a question involving a scale dependent variable and a single nominal independent variable (IV) with three or more levels in which participants receive all levels of the IV, the appropriate test to use: a. one-way between-groups ANOVA b. independent-samples t test c. one-way within-groups ANOVA d. paired-samples t test
2. A study was conducted to examine the difference between the older and younger adult teachers on perceived life satisfaction. A pilot study was conducted to examine this hypothesis. Ten older adults (over the age of 50) and ten younger adults (between 20 and 40) were given a life satisfaction test (known to have high reliability and validity). Scores on the measure range from 0 to 60 with high scores indicative of high life satisfaction, low scores indicative of low life satisfaction. Result of the analysis is presented below. Older Adults Younger Adults Мean 44.5 28.1 Variance 75.38888889 72.98888889 Observations Hypothesized Mean Difference 10 10 df 18 x Stat P(X<=x) one-tail Critical one-tail P(X<=x) two-tail 4.257546666 0.000236832 1.734063607 0.000473663 x Critical two-tail 2.10092204 5. Is there a significant difference between the two groups? 6. Make a writeup of the result using APA format
Is there an association between daily screen time and exercise habits in high school students? Mia selects a random sample of 123 high school students and categorizes them into 1 of 3 categories of screen time and whether they exercise. She would like to determine if there is convincing evidence of an association. Let = 0.05. What are the hypotheses for this test? H0: There is an association between daily screen time and exercise habits in high school students.Ha: There is no association between daily screen time and exercise habits in high school students.H0: There is no association between daily screen time and exercise habits in high school students.Ha: There is an association between daily screen time and exercise habits in high school students.H0: There is no difference in the distribution of daily screen time and exercise habits in high school students.Ha: There is a difference in the distribution of daily screen time and exercise habits in high school students.H0: There is a…
The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 1% level of significance. Give answer to at least 4 decimal places. Hours 45 50 60 50 48 61 54 49 50 48 55 50 (a) Determine the null and alternative hypotheses? Họ: Select an answer v hours H1: Select an answer hours (b) Determine the test statistic ? (c) Determine the p-value. p-value = (d) Make a decision. O Accept the alternative hypotheis Accept the null hypothesis Do not reject the null hypothesis O Reject the null hypothesis
Researchers collected data on the numbers of hospital admissions resulting from motor vehicle crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Use a 0.05 significance level to test the claim that when the 13th day of a month falls on a Friday, the numbers of hospital admissions from motor vehicle crashes are not affected. Friday the 6th: Friday the 13th: 10 10 13 11 13 69 11
The worker on examining his 20 rainfall sample points concluded that it is more than likely to rain on this May 1st. Describe two or three statistical steps he took to arrive at this conclusion.
A different I/O psychologist wants to know if there is a difference in worker evaluations depending if the employee is a male or female. A group of managers were recruited and each rated both 15 men and 15 women employee evaluations on a scale of 0-10. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test ANOVA