SPSS #3 (1)
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New York University *
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Course
10
Subject
Mathematics
Date
Jan 9, 2024
Type
Pages
7
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Name: Nehal Hossain
TA: Amy Goltermann
Date: November 8, 2023
Assignment #: 3
Question 1
Question 3
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Question 3 Continued
Question 1
a)
The null hypothesis states that there is no difference in baseline quality of life between
people who undergo cosmetic surgery for a physical problem and those who want to
change their external appearance. H
0
: μ
1
= μ
2
The alternative hypothesis states that there is a difference in baseline quality of life
between people who undergo cosmetic surgery for a physical problem and those who
want to change their external appearance. H
A
: μ
1
≠ μ
2
b)
The standard error of the difference between the means is 1.332.
c)
Using Levene’s Test, we can determine that there is homogeneity of variance because the
sig value, .482, is greater than the compared alpha value of .05
d)
People who undergo cosmetic surgery for a physical problem averaged a lower baseline
quality of life score (
M
= 63.51,
SD
= 6.89) than people who elect to undergo cosmetic
surgery to change their external appearance (
M
= 66.55,
SD
= 7.00); a two-independent
showed this difference was statistically significant,
t
(129) = 2.29,
p
< .05, two-tailed.
Thus, we reject the null hypothesis.
e)
The 95% confidence interval of the data goes from .412 to 5.683. Since 0 is not within
the confidence interval then this means that we can reject the null hypothesis, so we are
95% confident that there is a significant difference in baseline quality of life between
people who undergo the surgery for a physical problem and those who want to change
their external appearance.
f)
A type I error for this study would occur when rejecting the null hypothesis when it is
true, suggesting no difference.
A type II error would occur when failing to reject the null
hypothesis when it is false, suggesting a difference. As we reject the null hypothesis
based on our p-value being less than the alpha value of .05, which is also the chance of a
making a Type I error, it is possible that a type I error could have been made.
Question 2
a)
Power = .15
b)
Probability of Type II error = (1 - power) = (1 - .15) = .85
c)
The sample size needed for the power of .80 is 516 participants.
Question 3
b) For alpha = .01, there are 22 correlations. For alpha = .05, there are 2 correlations. The
variables with the highest correlation are tenth grade science achievement and tenth grade math
achievement.
c) A positive linear trend was observed between socioeconomic status and 10th grade math
achievement with a correlation coefficient that reached significance,
r
(397)=.358,
p
< .05
There is a negative linear trend between teacher interest and 10th grade math achievement with a
correlation coefficient that reached significance,
r
(397) = -.184,
p
< .05
A strong, positive linear trend was observed between 10th grade science achievement and 10th
grade math achievement with a correlation coefficient that reached significance,
r
(396) = .732,
p
< .05
d) The best predictor of 10th grade math achievement is 12th grade science achievement
because they share the strongest correlation with r(396)=.732
e) The pattern of the data is largely clustered with a positive correlation.
h) The correlation is now .183 from the original .358. This indicates the correlation becoming
less significant due to sample size.
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Calculations
Question 2