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SPSS: Hypotheses, Central Tendency, Effect Size, Regression Analysis, Chi Square Calculation

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Added on  2023-01-13

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This document provides an analysis using SPSS, including hypotheses, central tendency, effect size, regression analysis, and chi square calculation.

SPSS: Hypotheses, Central Tendency, Effect Size, Regression Analysis, Chi Square Calculation

   Added on 2023-01-13

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SPSS
SPSS: Hypotheses, Central Tendency, Effect Size, Regression Analysis, Chi Square Calculation_1
TABLE OF CONTENTS
Part A...............................................................................................................................................1
State your null & research hypotheses........................................................................................1
State the appropriate measure of central tendency for each variable..........................................2
Effect size....................................................................................................................................2
Rationale of choice of approach..................................................................................................2
Part B...............................................................................................................................................2
Regression analysis.....................................................................................................................2
Measure of central tendency.......................................................................................................4
Effect size....................................................................................................................................4
Rationale.....................................................................................................................................5
Part C...............................................................................................................................................5
Chi square calculation.................................................................................................................5
SPSS: Hypotheses, Central Tendency, Effect Size, Regression Analysis, Chi Square Calculation_2
Part A
State your null & research hypotheses
H0: There is no significant difference between population mean and sample mean.
H1: There is significant difference between population mean and sample mean.
One-Sample Statistics
N Mean Std.
Deviation
Std. Error
Mean
TeamPreferenc
e 100 1.97 .688 .069
One-Sample Test
Test Value = 2
t df Sig. (2-
tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower Upper
TeamPreferenc
e -.436 99 .664 -.030 -.17 .11
Interpretation
One sample t test indicate relationship between sample mean and population mean and
indicate whether there is significant difference between sample mean and population mean. In
the table given above it can be seen that value of statistics is (M = 1.97, SD = 0.688). This means
that on an average sample unit prefer Dallas Mavericks and standard deviation is very low which
further indicate that majority of respondents prefer mentioned team. Value of level of
significance is 0.069>0.05 which reflect that there is no significant mean difference between
sample mean and population mean. Null hypothesis accepted.
1
SPSS: Hypotheses, Central Tendency, Effect Size, Regression Analysis, Chi Square Calculation_3

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