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I completed Mini StudyPart I and am working on Mini Study Part II . Below is the first study that the second study is to

I completed Mini StudyPart I and am working on Mini Study Part II . Below is the first study that the second study is to be based on. If you scroll down, my progress and question is in bold.

Part I (submitted and to be used on Part II)

#1 - Topic - Do people prefer iPhones or Android Phones?

#2 - Population - Adults between the ages of 21-45

#3 - Questions that were asked -

tem Variable Variable Type
I Age Discrete quantitative (expressed in completed years)
II Sex Qualitative Nominal (Dichotomous)
III Entry Continuous quantitative (expressed in $)
IV Platform Qualitative Nominal (Dichotomous)
V Education level Qualitative Ordinal
VI Region Qualitative Nominal

#5-6 The survey was done in person and by hand.

#7 - I collected a cross-sectional data at a specific time, without the application of statistical inference, the type of sampling is opinionated, not probabilistic, for academic purposes.

#8 - Types of charts

The types of graphs used for the study results are summarized in the following table:

tem Variable Chart Type
I Age Frequency Histogram
II Sex Pie or pie chart
III Entry Frequency Histogram
IV Platform Pie or Pie Chart
V Education level Bar graphic
VI Region Bar graphic

Question 9 Statistics

The appropriate statistics for the analysis of the results are presented in the following table:

tem Variable Statistics Justification
I Age Measures of Central Tendency (Average, Mode, Median) Measures of Dispersion (Variance, Standard Deviation, Range) Measures of Position (Percentiles, Quartiles, Deciles) The quantitative nature of the variable allows the calculation of almost all statistics for descriptive analysis purposes.
II Sex Relative frequencies Because it is a qualitative variable, it is not possible to calculate statistics
III Entry Measures of Central Tendency (Average, Mode, Median) Measures of Dispersion (Variance, Standard Deviation, Range) Measures of Position (Percentiles, Quartiles, Deciles) The quantitative nature of the variable allows the calculation of almost all statistics for descriptive analysis purposes.
IV Platform Relative frequencies Because it is a qualitative variable, it is not possible to calculate statistics
V Education level Relative frequencies Because it is a qualitative variable, it is not possible to calculate statistics
VI Region Relative frequencies Because it is a qualitative variable, it is not possible to calculate statistics

Part II -

Assignment Instructions

Mini- Study Part II

Answer the questions below about your data adhering to the outlined criteria in complete sentences. Cite any outside sources that are used.

Item Description
1 Treat your data just as you would one of the datasets from the homework. Be sure you include appropriate measures of central tendency and dispersion etc.
2 Construct a frequency distribution using 5 -8 classes.
3 Create 2 different but appropriate visual representations of your data (pie chart, bar graph, etc). You MUST use Excel to do this.
4 Complete the calculations for the 8 statistics you identified in your worksheet in week 3. You MUST use Excel to do this.
5 Write a brief paragraph describing the meaning or interpretation for EACH of the statistics. For example, if some of the statistics chosen were the mean, median and mode, which is the best measure?
6 Construct a 95% Confidence Interval to estimate the population mean/proportion in the claim.
7 Complete the calculations for the 8 statistics you identified in your What can you conclude from this result regarding the topic?
8 Write up the responses to these questions in an APA paper between 500-1,000 words.

#2 - Frequency Distribution

n = 50 (the amount of people in the sampling)

age range 45-21 = 24. square root of 24 = 4.89 so I would use 5 classes.

Am I going in the right direction?

Thanks again!!!

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