Read the article written by Buzi, Smith, and Weinman XXXXXXXXXXin the resources. These authors used a chi-square analysis to analyze the data from their research study. Now, write a summary of the...

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Read the article written by Buzi, Smith, and Weinman (2014) in the resources. These authors used a chi-square analysis to analyze the data from their research study.


Now, write a summary of the research, including background information on the topic, the main hypotheses, methods, results, and the conclusions drawn by the researchers. In addition to this summary, be sure to address the following in your paper:



  • Describe the variables used in the analysis, along with the level of measurement (i.e., nominal, ordinal, interval, or ratio) for each variable.

  • Explain why the researchers used chi-square to analyze the data. In other words, how does the level at which each variable is measured determine which analysis is appropriate? Please support your answer to this question using the course materials or other scholarly resources.

  • Did the authors use a diverse group of participants (e.g., various ages, races, etc.) in their research? You should describe some characteristics of the sample used in the research.

Answered Same DayMay 24, 2021

Answer To: Read the article written by Buzi, Smith, and Weinman XXXXXXXXXXin the resources. These authors used...

Rajeswari answered on May 28 2021
140 Votes
41483 Assignment
Question No.1
a)
The graphs for the 2004-05 and 2014-15 are given below:
On comparison we find that almost all countries increased in the 10 year period., except United Kingdom. China shows the maximum increase.
Percent growth:

c) We find that except United Kingdom
other countries increased over the years the exports. While China showed highest actual increase in the 10 year period, Japan stood next. Newzealand almost the same over the lapse of years. Singapore almost doubled.
Coming to percent increase, we find that while Japan showed highest contribution in 2004-05 followed by China, U.S and Newzealand, in 2014-15, China showed the highest followed by Japan. Though actual increased for all countries except UK, percentage contribution shows an increase only for China while all other countries show a percent decline in the contribution.
Question No.2
The sales of umbrella for 40 days is given in the question.
    
    
    Frequency distribution
    
    
    
    
    
    
    
    
    Classes
    Frequency
    Relative frequency
    cumulative frequency
    Cumulative relative frequency
    
    
    
    
    
    
    a)&b)
    30-40
    2
    0.05
    2
    0.05
    
    40-50
    4
    0.1
    6
    0.15
    
    50-60
    8
    0.2
    14
    0.35
    
    60-70
    11
    0.275
    25
    0.625
    
    70-80
    8
    0.2
    33
    0.825
    
    80-90
    5
    0.125
    38
    0.95
    
    90-100
    2
    0.05
    40
    1
    
    
    
    
    
    
    
    total
    40
    1
    
    
    Relative frequency
    Frequency/Total=Freq/40
    
    Cumulative frequency is calculated as the total of all frequencies upto that class
    
    
    
    
    
    
    Cumulative reqlative frequency is calculated as cumulative frequency /40
    
    
    
    
    
    
    always last row of cumulative frequency will be equal to total and
    Last row of cumulative relative frequency will be equal to 1.
c) Relative histogram is shown below:
d) Ogive for the data is given below:
e) Proportion of grades less than 60 =
f) Proportion of grades more than 70=
Question No.3
a) Graph for time series data for X =
On x axis the numbers marked are the quarters starting from 1 to 131 i.e. June 2010 is marked as 1, and so on.
Graph representation for Y = final consumption
b) On x axis we plotted the retail and y axis the final exp. This is because of the assumption that retail is independent and final one is dependent. The graph is shown below:
c) The main measurements for X and Y are shown below:
    c)
    X
    Y
    Mean
    2205.8
    146019.9
    Median
    2180.2
    139137.0
    Min
    1455.9
    81889.0
    Max
    3014.6
    233148.0
    Range
    1558.7
    151259.0
    Variance
    295059.6
    2200016261.9
    Std dev
    543.2
    46904.3
    Coeff of var.
    0.2
    0.3
    Quartile I
    1653.0
    103558.5
    quartile 3
    2793.4
    192800.5
    Quartile 2
    2180.2
    139137.0
    IQR
    1140.5
    89242.0
    
    
    
    d)
    
    
    Correlation coefficient
    r
    0.98769713
This is using the formula correlation coefficient =
e) Linear regression model and scatter plot are shown...
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