A-1 Consider the following competing hypotheses:Ho: Pxy = 0HA: Pxy # 0The sample consists of 24 observations and the sample correlation coefficient is 0.15.[You may find it useful to reference the t table.]a-1. Calculate the value of the test statistic. (Round intermediate calculations to atleast 4 decimal places and final answer to 3 decimal places.)Test statistica-2. Find the p-value.O0.05 s p-value < 0.10Ō.02 s p-value < 0.05O0.01 s p-value < 0.02p-value < 0.01prvalue 2 0.10b. At the 1% significance level, what is the conclusion to the test?Reject Ho; we can state the variables are correlated.Reject Ho; we cannot state the variables are correlated.Do not reject Ho; we can state the variables are correlated.Do not reject Ho; we cannot state the variables are correlated.

Name: A-1 Consider the following competing hypotheses:Ho: Pxy = 0HA: Pxy # 0
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: A-1 Consider the following competing hypotheses:Ho: Pxy = 0HA: Pxy # 0The sample consists of 24 observations and the sample correlation coefficient is 0.15.[You may find it useful to reference the t table.]a-1. Calculate the value of the test statist

Consider that ρ is the population correlation coefficient between X and Y.

Math

Statistics

Consider the following competing hypotheses: Ho: Pxy = 0 HA: Pxy * 0 The sample consists of 24 observations and the sample correlation coefficient is 0.15. [You may find it useful to reference the t table.] a-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic a-2. Find the p-value. O0.05 s p-value < 0.10 O0.02 s p-value < 0.05 O0.01 s p-value < 0.02 Op-value < 0.01 prvalue 2 0.10 b. At the 1% significance level, what is the conclusion to the test? Reject Ho; we can state the variables are correlated. Reject Ho: we cannot state the variables are correlated. Do not reject Ho; we can state the variables are correlated. Do not reject Ho; we cannot state the variables are correlated.

Consider the following competing hypotheses: Ho: Pxy = 0 HA: Pxy * 0 The sample consists of 24 observations and the sample correlation coefficient is 0.15. [You may find it useful to reference the t table.] a-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic a-2. Find the p-value. O0.05 s p-value < 0.10 O0.02 s p-value < 0.05 O0.01 s p-value < 0.02 Op-value < 0.01 prvalue 2 0.10 b. At the 1% significance level, what is the conclusion to the test? Reject Ho; we can state the variables are correlated. Reject Ho: we cannot state the variables are correlated. Do not reject Ho; we can state the variables are correlated. Do not reject Ho; we cannot state the variables are correlated.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Similar questions

Consider the following competing hypotheses:H0: ρxy = 0HA: ρxy ≠ 0The sample consists of 27 observations and the sample correlation coefficient is 0.38. [You may find it useful to reference the t table.] a-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
Ten pairs of points yielded a correlation coefficient r of 0.790. If alpha=0.05 which of the following statements is correct if H0 : p =0? ( Do not calculate a t-value) 1. Because 0.790 is greater than 0.632, the null hypothesis is not rejected.2. Because 0.790 is greater than 0.602, the null hypothesis is not rejected.3. There is no correlation between the variables.4. Because 0.790 is greater than 0.632, the null hypothesis is rejected. Also, is the second value in the answers just randomly used or are they calculated? I don't understand what I am comparing.
Why does a correlation table have a diagonal line of 1s? 1 Because the sum of all correlation coefficients must equal one. 2 Because it’s the result of a dummy variable. 3 Because p-values cannot be greater than one. 4 None of these 5 Because it acts as a benchmark for all other correlation coefficients.
From the data of the following table: Calculate Spearman's rank correlation coefficient between x and y and determine its type. s
Suppose n = 6 and the sample correlation coefficient is r = 0.872. Is r significant at the 1% level of significance (based on a two-tailed test)? (Round your answers to three decimal places.) t= critical t= (b) Suppose n = 10 and the sample correlation coefficient is r = 0.872. Is r significant at the 1% level of significance (based on a two-tailed test)? (Round your answers to three decimal places.) t= critical t= show formula and show excel
A computer while calculating correlation coefficient between two variables X and Y from 25pairs of observation obtained the following results: n=25, 2X=125, EX2 = 650, Y=100,Y2= 460, 2XY=508. But on subsequent verification it was found that he had copied downtwo pairs as (6,14) and (8,6) while the correct values were (8,12) and (6,8). Obtain the correctvalue of correlation coefficient?
A researcher computes the correlation coefficient r =r= 0.6939 for an explanatory and response variable. What proportion of the changes in the response variables value is accounted for by the change in the explanatory variable's value? Give your answer to four decimal places.
A sample of n = 15 pairs of X and Y scores produces a Pearson correlation of r = 0.45, SSY = 90. a) If the regression equation was found for these scores, how much of the Y variability would be predicted by the regression equation (SSregression) and how much would not be predicted (SSresidual)? b) Does the regression equation predict a significant portion of the variability for the Y scores? (Equivalently, is the Pearson correlation significant?)
1. Find the correlation coefficient for the measurements
Question 1For the following give:• Description of the correlation (negative or positive).• The appropriate critical value for ? identified from ?-table.• The comparison of the linear correlation coefficient to that identified in (b).• Decision on the null hypothesis (H0) and the conclusion based on the decision.a) ? = 10, ? = 0.149b) ? = 60, ? = −0.765