State the null and alternative hypotheses for the situation described below for a statistical test. Testing to see if there is evidence that a correlation between height and salary is significant (that is, different than zero.) : p : P1 : P2 : 0 : p : Pi # P2 Họ: vs Hạ: DO ::
State the null and alternative hypotheses for the situation described below for a statistical test. Testing to see if there is evidence that a correlation between height and salary is significant (that is, different than zero.) : p : P1 : P2 : 0 : p : Pi # P2 Họ: vs Hạ: DO ::
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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
Transcribed Image Text:**State the null and alternative hypotheses for the situation described below for a statistical test.**
Testing to see if there is evidence that a correlation between height and salary is significant (that is, different than zero).
---
**Symbols provided:**
- Equality/inequality: \( = \), \( < \), \( > \)
- Means and proportions: \( \mu \), \( \mu_1 \), \( \mu_2 \), \( p \), \( p_1 \), \( p_2 \)
- Population and sample statistics: \( 0 \), \( \rho \), \( \bar{x} \), \( x_1 \), \( \bar{x}_2 \)
- Proportion estimates and correlation coefficient: \( \hat{p} \), \( \hat{p}_1 \), \( \hat{p}_2 \), \( r \)
---
**Hypotheses:**
- Null hypothesis (\( H_0 \)): \( \rho = 0 \)
- Alternative hypothesis (\( H_a \)): \( \rho \neq 0 \)
![**Current Attempt in Progress**
State the null and alternative hypotheses for the situation described below for a statistical test.
Testing to see if average sales are higher in stores where customers are approached by salespeople than in stores where they aren't.
Let group 1 be the group of stores where customers are approached by salespeople and let group 2 be the group of stores where customers are not approached by salespeople.
**Symbols and Options Available:**
- \( = \)
- \( \neq \)
- \( < \)
- \( > \)
- \( \leq \)
- \( \geq \)
- \( \mu \)
- \( \mu_1 \)
- \( \mu_2 \)
- \( p \)
- \( p_1 \)
- \( p_2 \)
- \( - \)
- \( \rho \)
- \( \bar{x} \)
- \( \bar{x}_1 \)
- \( \bar{x}_2 \)
- \( \hat{p} \)
- \( \hat{p}_1 \)
- \( \hat{p}_2 \)
- \( r \)
**Hypotheses description:**
- Null Hypothesis (\( H_0 \)): [empty box]
- Alternative Hypothesis (\( H_a \)): [empty box]
The educational content aims to help users select appropriate statistical symbols and form the hypotheses correctly for hypothesis testing.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe67b822a-1066-430d-9a54-dac5dc30eee6%2Fdab55b28-cd45-4685-9e69-62611fb61737%2F06ety0l_processed.png&w=3840&q=75)
Transcribed Image Text:**Current Attempt in Progress**
State the null and alternative hypotheses for the situation described below for a statistical test.
Testing to see if average sales are higher in stores where customers are approached by salespeople than in stores where they aren't.
Let group 1 be the group of stores where customers are approached by salespeople and let group 2 be the group of stores where customers are not approached by salespeople.
**Symbols and Options Available:**
- \( = \)
- \( \neq \)
- \( < \)
- \( > \)
- \( \leq \)
- \( \geq \)
- \( \mu \)
- \( \mu_1 \)
- \( \mu_2 \)
- \( p \)
- \( p_1 \)
- \( p_2 \)
- \( - \)
- \( \rho \)
- \( \bar{x} \)
- \( \bar{x}_1 \)
- \( \bar{x}_2 \)
- \( \hat{p} \)
- \( \hat{p}_1 \)
- \( \hat{p}_2 \)
- \( r \)
**Hypotheses description:**
- Null Hypothesis (\( H_0 \)): [empty box]
- Alternative Hypothesis (\( H_a \)): [empty box]
The educational content aims to help users select appropriate statistical symbols and form the hypotheses correctly for hypothesis testing.
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