Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Assignment in Statistics, Quizzes of Mathematics

Assignment in Statistics ndgjdgjdgjdgjkdgkfhlkdh

Typology: Quizzes

2020/2021

Uploaded on 01/03/2023

Johnechevarria
Johnechevarria 🇵🇭

1 document

1 / 3

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Name: Jason Rivera
1. Test whether the values development program
affected the participant’s commitment to the
project. The data as follows.
Step 1: State the Hypotheses
Null Hypothesis
“The values development program will not
affect the participant’s commitment to the
project.
Alternative Hypothesis:
“The values development program will affect the
participant’s commitment to the project.
Step 2: State the Level of Significance: α = 0.05
Step 3: Mean Comparison Method: Dependent
Sample T-Test Checking of Assumptions
Dependent Variables are Continuous (Pre-test
and Post- Test)
Independent Variables are categorical and
related (“Pretest” and “Post-test”)
There are only two Outliers (As shown via Box
plot)
Approximately normally distributed (Passed
Shapiro-Wilk test)
Boxplots
Pretest
Post Test
Assumption Checks
Test of Normality (Shapiro-Wilk)
W p
Pretest - Post Test 0.875 0.115
Note. Significant results suggest a deviation from
normality.
Paired Samples T-Test
Paired Samples T-Test
Measure
1 Measure 2 t d
fp
Pretest - Post Test -4.070 9 0.003
Note. Student's t-test.
Step 4: Compute the p-value
P-value = 0.003 which is the less than the
significance level.
Step 5: Statistical Decision
Since the 0.003 is less than the significance level.
Therefore reject Ho
Step 6: Draw a Conclusion
There is sufficient evidence to support that the
values development program will affect the
participant’s commitment to the project.
2. Test whether the girls differ in their personality
from that of the boys. Higher scores indicate
higher personality.
pf3

Partial preview of the text

Download Assignment in Statistics and more Quizzes Mathematics in PDF only on Docsity!

Name: Jason Rivera

1. Test whether the values development program affected the participant’s commitment to the project. The data as follows. Step 1: State the Hypotheses Null Hypothesis “The values development program will not affect the participant’s commitment to the project. Alternative Hypothesis: “The values development program will affect the participant’s commitment to the project. Step 2: State the Level of Significance: α = 0. Step 3: Mean Comparison Method: Dependent Sample T-Test Checking of Assumptions ✓ Dependent Variables are Continuous (Pre-test and Post- Test) ✓ Independent Variables are categorical and related (“Pretest” and “Post-test”) ✓ There are only two Outliers (As shown via Box plot) ✓ Approximately normally distributed (Passed Shapiro-Wilk test) Boxplots Pretest Post Test Assumption Checks Test of Normality (Shapiro-Wilk) W p Pretest - Post Test 0.875 0. Note. Significant results suggest a deviation from normality. Paired Samples T-Test Paired Samples T-Test Measure 1 Measure 2 t d f p Pretest - Post Test -4.070 9 0. Note. Student's t-test. Step 4: Compute the p-value P-value = 0.003 which is the less than the significance level. Step 5: Statistical Decision Since the 0.003 is less than the significance level. Therefore reject Ho Step 6: Draw a Conclusion There is sufficient evidence to support that the values development program will affect the participant’s commitment to the project. 2. Test whether the girls differ in their personality from that of the boys. Higher scores indicate higher personality.

Step 1: State the Hypotheses Null Hypothesis [ There is no significant difference between girls and boys in their personality Alternative Hypothesis: There is a significant difference between girls and boys in their personality Step 2: State the Level of Significance: α = 0. Step 3: Mean Comparison Method: Dependent Sample T-Test Checking of Assumptions ✓ Dependent Variables are Continuous (Boy and Girl) ✓ Independent Variables are categorical and related (“Boy and Girl”) ✓ No Outliers (As shown via Box plot) ✓ Approximately normally distributed (Passed Shapiro-Wilk test) ✓ Homogeneity Variance Assumed Boxplots Independent Samples T-Test Independent Samples T- Test t df p Score 1.590 21 0. Note. Student's t-test. Assumption Checks Test of Normality (Shapiro-Wilk) W p Score Boys 0.908 0. Girls 0.962 0. Note. Significant results suggest a deviation from normality. Test of Equality of Variances (Levene's) F df 1 df 2 p Score 0.303 1 21 0. Step 4: Compute the p-value P-value = 0.127 which is the more than the significance level. Step 5: Statistical Decision Since the 0.127 is less than the significance level. Therefore, failed to reject Ho Step 6: Draw a Conclusion There is no sufficient evidence to support that girls and boys are differs in their personality Step 1: State the Hypotheses Null Hypothesis [ There is no significant difference between group performance.

  1. In the learning experiment, 10 students are randomly assigned to every four groups. Each group is asked to perform a set of tasks after exposure to the treatment. Do the groups differ in task performance?