TO GO TO SrSem STATISTICS TALKING STATISTICS  UNIT

 

style adapted from Prof Women of Color MS (4/2016). All names & numbers have been changed to protect privacy.

 

 

used S20 for remote learning

Due to the circumstances of this semester, the (Maslow) activity that usually goes along with the Statistics Chapter presentations will not be used. Instead we will be working with the items below.  All of the Statistics chapters will be covered by their respective Chapter Leaders/Assistants during our  Blackboard Collaborate virtual  session on Mon.  April 6 ( 3:30pm) . [Chapter leaders will share their 2X2X2+2’s via  slide shows to be submitted to the Professor well in advance] At that time, class members will be put into random  “break out groups” to generate an answer for one of the examples below & prepare a brief text-book rationale for your choice(s). Most likely, results (rationale + a visual) will be submitted via Blackboard Discussion Board postings. Details to follow.

 

 

What to do

Crunch the numbers

Analyze the numbers (Descriptive approach? Inferential approach?)

Decide best way to visualize the numbers

Create & present an infographic

 

 

 

1 – ADAPTED FROM A RECENT RESEARCH REPORT:  A total of 385 women including 18.8% college sophomores,  81.2% juniors, and  61%  seniors were selected through network sampling and completed the questionnaire. In terms of religious affiliation, 56.6% reported as Christian, 15.2% Protestant, 9.6% Catholic, 7.9% Other, and 10.7% Atheist/No Religion. The women also worked an average of 16 hours per week.

WHAT VISUAL WOULD BE BEST WAY TO DEPICT THESE STATISTICS?

 

 

 

 

 

2 –  Midterm grades for my Speech course  were as follows: Section XX = A(n=4), B (n=5), C(n=6), D(n=5),  F(n=1),

Section ZZ = A(n=4), B(n=3), C(n=2),, D(n=4), F(n=4),

 

WHAT VISUAL WOULD BE BEST WAY TO DEPICT THESE STATISTICS? IS THERE A SKEW IN THESE TWO CLASSES?

 

 

 

3 “Future scholars need to investigate why this difference exists by using focus groups and interview methods.”

Discuss the significance  of  a recommendation such as this one being placed at the end of a quantitative research report. Consider PARADIGM implications as well as the perspective of triangulation.

-

 

 

 

 

4– “Disappointingly, the pay scale at the DDB company consistently tracks at 80% of the median for that industry.”  

WHAT VISUAL WOULD BE BEST WAY TO DEPICT THIS STATISTIC?

 

 

 

5– A chi-square test for independence was performed to examine the relation between year in college and amount of social networking site (SNS) use. The relation between these variables was significant, X² (14, N = 385) = 29.90, p < .05. Latina/Hispanic working women were less likely to use SNS (20.5%) in comparison to African-American women (79.5%). More specifically, 26.3% of Latina/Hispanic women reported using Facebook versus 73.7% of African-American women. However, 71.4% African-American women reported using Myspace in comparison to only 28.6% Latina/Hispanic women. In addition, 100% of African-American working women reported using Twitter. An independent t-test was conducted to investigate whether Hispanic and African-American women differed in their perceptions of a successful identity in the workplace. It was found that there were no differences in women’s perceptions of their own successful identity in the workplace, t(185) = -.92, p = .36, ns. A correlational analysis also revealed a positive correlation between attitudes for success and having a successful identity in the workplace, r(185) = .67, p < 001.

 

 

 

 

 

 

6– Two independent t-tests were conducted to determine if Latina/Hispanic and African-American women differenced in their need to belong and their tendency to affiliate with others through social networking sites. This study found that there were differences in the women’s perceptions of their need to belong in the workplace, t(183) = 2.92, p < .01. The Latina/Hispanic women reported having a higher need to belong in the workplace (M = 3.16, SD = .87) in comparison to African-American women (M = 2.66, SD = .98). It was also found that women differed in their tendency to affiliate with others through social networking sites, t(184) = 2.74, p < .01. The Latina/Hispanic women reported having a higher tendency to affiliate with others through social networking sites (M = 3.54, SD = .74) than the African-American women did (M = 3.19, SD = .70).