10. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 10For a two-tailed test with α = .05, use the table of critical values of r (available at the end of this question) to determine how large a Pearson correlation is necessary to be statistically significant for each of the following samples.A sample of n = 6: A sample of n = 12: A sample of n = 24: Critical Values of the Pearson Correlation Coefficient:df = n – 2Level of Significance for One-Tailed Test.05.025.01.005Level of Significance for Two-Tailed Test.10.05.02.011.988.997.9995.99992.900.950.980.9903.805.878.934.9594.729.811.882.9175.669.754.833.8746.622.707.789.8347.582.666.750.7988.549.632.716.7659.521.602.685.73510.497.576.658.70811.476.553.634.68412.458.532.612.66113.441.514.592.64114.426.497.574.62315.412.482.558.60616.400.468.542.59017.389.456.528.57518.378.444.516.56119.369.433.503.54920.360.423.492.53721.352.413.482.52622.344.404.472.51523.337.396.462.50524.330.388.453.49625.323.381.445.48726.317.374.437.47927.311.367.430.47128.306.361.423.46329.301.355.416.45630.296.349.409.44935.275.325.381.41840.257.304.358.39345.243.288.338.37250.231.273.322.35460.211.250.295.32570.195.232.274.30280.183.217.256.28390.173.205.242.267100.164.195.230.254

Answered: Image /qna-images/answer/1ccd0801-c82f-4f61-9b07-b99d7d22eb5e.jpg

Answered: For a two-tailed test with α = .05, use…

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

10. Gravetter/Wallnau/Forzano, Essentials - Chapter 14 - End-of-chapter question 10

For a two-tailed test with α = .05, use the table of critical values of r (available at the end of this question) to determine how large a Pearson correlation is necessary to be statistically significant for each of the following samples.

A sample of n = 6:

A sample of n = 12:

A sample of n = 24:

Critical Values of the Pearson Correlation Coefficient:

df = n – 2	Level of Significance for One-Tailed Test
.05	.025	.01	.005
Level of Significance for Two-Tailed Test
.10	.05	.02	.01
1	.988	.997	.9995	.9999
2	.900	.950	.980	.990
3	.805	.878	.934	.959
4	.729	.811	.882	.917
5	.669	.754	.833	.874
6	.622	.707	.789	.834
7	.582	.666	.750	.798
8	.549	.632	.716	.765
9	.521	.602	.685	.735
10	.497	.576	.658	.708
11	.476	.553	.634	.684
12	.458	.532	.612	.661
13	.441	.514	.592	.641
14	.426	.497	.574	.623
15	.412	.482	.558	.606
16	.400	.468	.542	.590
17	.389	.456	.528	.575
18	.378	.444	.516	.561
19	.369	.433	.503	.549
20	.360	.423	.492	.537
21	.352	.413	.482	.526
22	.344	.404	.472	.515
23	.337	.396	.462	.505
24	.330	.388	.453	.496
25	.323	.381	.445	.487
26	.317	.374	.437	.479
27	.311	.367	.430	.471
28	.306	.361	.423	.463
29	.301	.355	.416	.456
30	.296	.349	.409	.449
35	.275	.325	.381	.418
40	.257	.304	.358	.393
45	.243	.288	.338	.372
50	.231	.273	.322	.354
60	.211	.250	.295	.325
70	.195	.232	.274	.302
80	.183	.217	.256	.283
90	.173	.205	.242	.267
100	.164	.195	.230	.254