Sana and colleagues (2013) investigated the use of laptops in collegeclassrooms. They compared performance, as measured by proportion correctscores on a comprehension test, between a group of students who weremultitasking on a laptop ("Yes" group) and a group of students who were notmultitasking on a laptop ("No" Group).The output is based on a subset of the published data.Independent Samples T-Test95% CI for !dfMean DifferenceSE DifferenceLowerTest Score 3.348190.0030.1440.0430.054Note. Student's t-test.DescriptivesGroup DescriptivesGroupNMeanSDSETest ScoreNo110.6590.0920.028Yes100.5150.1060.033Based on the software output shown, answer the following questions in thespace below.a. Is the hypothesis test statistically significant and why? (Answer Yes or Noand then explain your response) 2 pointsb. What type of graph would you use to display the data and why? 2 pointsc. Summarize and interpret the results. Your answer should be 1-3 sentencesand use APA style when appropriate. Be sure to make your answer specific tothis example. 3 points

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Description: Sana and colleagues (2013) investigated the use of laptops in collegeclassrooms. They compared performance, as measured by proportion correctscores on a comprehension test, between a group of students who weremultitasking on a laptop ("Yes" group) a

The test statistic for the test t = 3.348 df = 19 p-value for the test = 0.003

Math

Statistics

a. Is the hypothesis test statistically significant and why? (Answer Yes or No and then explain your response) 2 points b. What type of graph would you use to display the data and why? 2 points c. Summarize and interpret the results. Your answer should be 1-3 sentences and use APA style when appropriate. Be sure to make your answer specific to this example. 3 points

a. Is the hypothesis test statistically significant and why? (Answer Yes or No and then explain your response) 2 points b. What type of graph would you use to display the data and why? 2 points c. Summarize and interpret the results. Your answer should be 1-3 sentences and use APA style when appropriate. Be sure to make your answer specific to this example. 3 points

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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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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Sana and colleagues (2013) investigated the use of laptops in college
classrooms. They compared performance, as measured by proportion correct
scores on a comprehension test, between a group of students who were
multitasking on a laptop ("Yes" group) and a group of students who were not
multitasking on a laptop ("No" Group).
The output is based on a subset of the published data.
Independent Samples T-Test
95% CI for !
df
Mean Difference
SE Difference
Lower
Test Score 3.348
19
0.003
0.144
0.043
0.054
Note. Student's t-test.
Descriptives
Group Descriptives
Group
N
Mean
SD
SE
Test Score
No
11
0.659
0.092
0.028
Yes
10
0.515
0.106
0.033
Based on the software output shown, answer the following questions in the
space below.
a. Is the hypothesis test statistically significant and why? (Answer Yes or No
and then explain your response) 2 points
b. What type of graph would you use to display the data and why? 2 points
c. Summarize and interpret the results. Your answer should be 1-3 sentences
and use APA style when appropriate. Be sure to make your answer specific to
this example. 3 points

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In complete sentences, explain what a hypothesis test tells us and what an ettect size tells us. Describe in general terms. Be sure that your response CONTRASTS the two, i.e., explains how they are different but are both part of understanding relationships between variables. You're welcome to use examples to explain your points. Imagine you are explaining this to a friend.