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Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.) Source Sum Degrees of Freedom Mean F p-value of Variation of Squares Square Regression Error Total Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = What is your conclusion? O Reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant. O Reject Ho. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. O Do not reject H.. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. O Do not reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant.

Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.) Source Sum Degrees of Freedom Mean F p-value of Variation of Squares Square Regression Error Total Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = What is your conclusion? O Reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant. O Reject Ho. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. O Do not reject H.. We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. O Do not reject Ho. We conclude that the relationship between speed of execution and overall satisfaction is significant.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.) | Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | *F* | *p*-value | |---------------------|----------------|--------------------|-------------|-------|-----------| | Regression | | | | | | | Error | | | | | | | Total | | | | | | Find the value of the test statistic. (Round your answer to two decimal places.) \[ \boxed{} \] Find the *p*-value. (Round your answer to three decimal places.) \[ p\text{-value} = \boxed{} \] What is your conclusion? - ○ Reject \( H_0 \). We conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Reject \( H_0 \). We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Do not reject \( H_0 \). We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Do not reject \( H_0 \). We conclude that the relationship between speed of execution and overall satisfaction is significant.
Transcribed Image Text:Set up the ANOVA table. (Round your for F to two decimal places and all other values to three decimal places.) | Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | *F* | *p*-value | |---------------------|----------------|--------------------|-------------|-------|-----------| | Regression | | | | | | | Error | | | | | | | Total | | | | | | Find the value of the test statistic. (Round your answer to two decimal places.) \[ \boxed{} \] Find the *p*-value. (Round your answer to three decimal places.) \[ p\text{-value} = \boxed{} \] What is your conclusion? - ○ Reject \( H_0 \). We conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Reject \( H_0 \). We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Do not reject \( H_0 \). We cannot conclude that the relationship between speed of execution and overall satisfaction is significant. - ○ Do not reject \( H_0 \). We conclude that the relationship between speed of execution and overall satisfaction is significant.
The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker, summary scores were computed by calculating a weighted average of the scores provided by each respondent. Suppose a portion of the survey results follow: | Brokerage | Speed | Satisfaction | |-----------|-------|--------------| | A | 3.4 | 3.5 | | B | 3.3 | 3.2 | | C | 3.4 | 3.9 | | D | 3.6 | 3.9 | | E | 3.2 | 2.9 | | F | 3.8 | 2.8 | | G | 3.8 | 3.6 | | H | 2.6 | 2.6 | | I | 2.7 | 2.3 | | J | 4.0 | 4.0 | | K | 2.5 | 2.5 | These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.128 + 0.931x. At the 0.05 level of significance, test whether speed of execution and overall satisfaction are related. (Use the F test.) State the null and alternative hypotheses. \[ \begin{align*} &\text{( ) } H_0: \beta_0 = 0 \\ &{ } \quad H_a: \beta_0 \neq 0 \\ &\text{( ) } H_0: \beta_1 \geq 0 \\ &{ } \quad H_a: \beta_1 < 0 \\ &\text{( ) } H_0: \beta_1 = 0 \\ &{ } \quad H_a: \beta_1 \
Transcribed Image Text:The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker, summary scores were computed by calculating a weighted average of the scores provided by each respondent. Suppose a portion of the survey results follow: | Brokerage | Speed | Satisfaction | |-----------|-------|--------------| | A | 3.4 | 3.5 | | B | 3.3 | 3.2 | | C | 3.4 | 3.9 | | D | 3.6 | 3.9 | | E | 3.2 | 2.9 | | F | 3.8 | 2.8 | | G | 3.8 | 3.6 | | H | 2.6 | 2.6 | | I | 2.7 | 2.3 | | J | 4.0 | 4.0 | | K | 2.5 | 2.5 | These ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.128 + 0.931x. At the 0.05 level of significance, test whether speed of execution and overall satisfaction are related. (Use the F test.) State the null and alternative hypotheses. \[ \begin{align*} &\text{( ) } H_0: \beta_0 = 0 \\ &{ } \quad H_a: \beta_0 \neq 0 \\ &\text{( ) } H_0: \beta_1 \geq 0 \\ &{ } \quad H_a: \beta_1 < 0 \\ &\text{( ) } H_0: \beta_1 = 0 \\ &{ } \quad H_a: \beta_1 \
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