Question

# In this assignment, you will learn to enter data in SPSS and to conduct simple correlational...

In this assignment, you will learn to enter data in SPSS and to conduct simple correlational statistical analyses. You may need to use skills learned in previous assignments, lessons in the book, and/or other resources. For example, a description of how to enter data into SPSS is included in the exercises in Chapter 1.

1. A consumer psychologist wants to know if shoe size and weight are correlated in female adults. She measures the shoe size and asks the weight of 15 consecutive customers. They are as follows below. Enter that data above into SPSS naming the variables ‘shoe size’ and ‘weight’. Make sure to define them as numeric/continuous variables. (4 points)

size 6, 116 lbs.

size 5.5, 121 lbs.

size 10, 175 lbs.

size 3, 109 lbs.

size 9.5, 158 lbs.

size 6, 150 lbs.

size 10, 169 lbs.

size 5.5, 134 lbs.

size 7.5, 150 lbs.

size 8, 201 lbs.

size 8.5, 158 lbs

size 5.5, 123 lbs

size 6.5, 121 lbs.

size 8.5, 188 lbs

size 7.5, 135 lbs

Research Question: Is there a statistically significant relationship between shoe size and weight?

Null hypothesis: There is no statistically significant relationship between shoe size and weight.

Research/Alternative hypothesis: There is a significant relationship between shoe size and weight.

Variable 1/Level of measurement: Shoe size/ordinal

Variable 2/ Level of measurement: Weight/ratio

Statistical analysis used: Pearson’s product-moment correlation coefficient

Key statistics and interpretation:

Correlation coefficient: 0.77

Statistical significance: 0.001

Coefficient of determination/Effect size/Shared Variance: 0.59/Large/77%

**I need help with the questions below. I'm not sure how to state the assumptions.

Assumptions:

1. Significant outliers:
2. Linearity:
3. Normality:

Reject or Fail to Reject the Null:

Interpretation/Conclusion:

=> From scatter plot below data are showing linear pattern

=> We can see from below PP GRAPHS data are NORMALLY DISTRIBUTED.

=> Also there is NO significant outliers in the data.

Since P value= 0.001

Since P value is SMALLER THAN THE LEVEL OF SIGNIFICANCE 0.05 therefore SIGNIFICANT

Decision: REJECT H0.

Conclusion: We have sufficient evidence to conclude that there is a significant relationship between shoe size and weight.

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