Question Suppose you computed r=−0.142 using a sample size of 22 data points. Using the critical values table below, determine if the value of r is significant or not. Degrees of Freedom Critical Values 19 0.433 20 0.423 21 0.413 22 0.404 23 0.396 24 0.388 Select the correct answer below: r is significant because it is between the positive and negative critical values. r is significant because it is not between the positive and negative critical values. r is not significant because it is between the positive and negative critical values. r is not significant because it is not between the positive and negative critical values.

Question Suppose you computed r=−0.142 using a sample size of 22 data points. Using the critical values table below, determine if the value of r is significant or not. Degrees of Freedom Critical Values 19 0.433 20 0.423 21 0.413 22 0.404 23 0.396 24 0.388 Select the correct answer below: r is significant because it is between the positive and negative critical values. r is significant because it is not between the positive and negative critical values. r is not significant because it is between the positive and negative critical values. r is not significant because it is not between the positive and negative critical values.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Question

Suppose you computed r=−0.142 using a sample size of 22 data points. Using the critical values table below, determine if the value of r is significant or not.

Degrees of Freedom	Critical Values
19	0.433
20	0.423
21	0.413
22	0.404
23	0.396
24	0.388

Select the correct answer below:

r is significant because it is between the positive and negative critical values.

r is significant because it is not between the positive and negative critical values.

r is not significant because it is between the positive and negative critical values.

r is not significant because it is not between the positive and negative critical values.

Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Types of Data and Their Measurement$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.

Similar questions

Question The following dataset represents the number of times students have been late to their math class. 0, 0, 1, 0, 0, 2, 0, 1, 1, 0, 0, 0, 0, 3, 0, 0, 2 Suppose that the last value, 2, was mistakenly recorded as 20. What measure(s) of the typical value in a dataset would be affected by this error? Select all that apply. Select all that apply:
HELP NOW PLZ
Statistics students believe that the mean soore on a first statistics test is 65. The instructor thinks that the mean score is higher. She samples 10 statistics students and obtains the scores: Grades 96 69 83.2 69 65 85.5 74.4 65 85.5 66.5 Test grades are believed to be normally distributed. Use a significance level of 5%. A. State the alternative hypothesis: H: Ομ 65 B. State the mean of the sample: (Round to two decimal places.) C. State the standard error of the sample means: (Round to four decimal places.) D. State the test statistic: t = (Round to four decimal places.) E. State the D-value; (Round to four decimal places.) F. Decision: O Do not reject the null hypothesis. O Reject the null hypothesis. Submit Question
Samples of starting annual salaries for individuals entering the public accounting and financial planning professions follow. Annual salaries are shown in thousands of dollars. Public Accountant 51.2 59.8 56.3 58.2 55.2 56.0 51.9 60.5 57.0 50.9 Financial Planner 50.0 49.2 54.1 56.9 50.9 53.6 Find the value of the test statistic. W = 75.50 X 49.7 53.9 51.8 48.9 (a) Use a 0.05 level of significance and test the hypothesis that there is no difference between the starting annual salaries of public accountants and financial planners. State the null and alternative hypotheses. O Ho: The two populations of salaries are not identical. H₂: The two populations of salaries are identical. O Ho: Median salary for public accountants - Median salary for financial planners 20 H₂: Median salary for public accountants - Median salary for financial planners 0 O Ho: Median salary for public accountants - Median salary for financial planners > 0 H₂: ₂: Median salary for public accountants - Median salary…
Please help I need in an hour Thankyou so much
Waiting times (in minutes) of customers in a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the mean and median for each of the two samples, then compare the two sets of results. Single Line 6.5 6.6 6.7 6.8 7.0 7.1 7.4 7.8 7.8 7.8 Individual Lines 4.2 5.5 5.8 6.1 6.3 7.8 7.8 8.5 9.4 10.1 The mean waiting time for customers in a single line is nothing minutes. The median waiting time for customers in a single line is nothing minutes. The mean waiting time for customers in individual lines is nothing minutes. The median waiting time for customers in individual lines is nothing minutes. Determine whether there is a difference between the two data sets that is not apparent from a comparison of the measures of center. If so, what is it?
Data: 1,2,3,4,5,6,7,8,9,10
DII Given below are the sample means for fifteen samples consisting of five data values each. Assume that the mean of the sample means is ten and the computed values for the UCL and LCL of the chart are 15 and 5, respectively. Below is the chart. Is this process in statistical control? Why or why not? Select the best answer choice. Sample 1 2 3 Mean 9 11 6 17+ 16- 15 14+ 13+ 12+ 11+ 10- 9. 8+ 7- 6 5 4. 3- 2- 1- R Submit Question $ F4 % -1 + O No, because there are eight consecutive points all above or all below the centerline. O No, because there is a point lying beyond the upper or lower control limit. O No, because there is a pattern, trend, or cycle that is obviously not random. O No, because more than one of the answer choices above are correct. O Yes, this process is within statistical control. 5 T 4 5 12 9 ▬▬ FS 6 7 8 11 7 8 6 6 Y H 49 9 10 12 16 F6 8 & 7 9 U 11 12 6 13 J 10 F7 11 13 14 15 12 11 7 8 12 PrtScn 13 FB K 15 9 UCL centerline LCL Home 16 Q F9 L ) End 0 F10 A PgUp ☎
Does Hypnotism Relieve Pain? The table shows the pain levels of patients before and after hypnotism. Pain level is measured on a cm scale. Assume that the two samples are randomly selected. At the 0.05 significance level, test the claim that the mean difference has increased after hypnotism.(Be sure to subtract in the same direction).
We want to determine if the percent of home runs hit by left-handed batters is greater than that of right-handed batters. What type of test should be used? OTwo sample z-test OTwo sample t-test O Single sample z-test Single sample t-test
Need help urgently please
Looking at the data. Answer the questions