The mean math achievement score for the boys is 51.29. The mean math achievement score for girls is 50.45. What might you conclude about the means? 1. Mean math achievement for boys is higher than that of girls 2. Mean math achievement for girls is higher than that of boys 3. The numbers are not different, statistically speaking From these results, what might you conclude? 1. Boys are better at math than girls 2. Girls are better at math than boys 3. Boys and girls do not differ in their math achievement
The mean math achievement score for the boys is 51.29. The mean math achievement score for girls is 50.45. What might you conclude about the means? 1. Mean math achievement for boys is higher than that of girls 2. Mean math achievement for girls is higher than that of boys 3. The numbers are not different, statistically speaking From these results, what might you conclude? 1. Boys are better at math than girls 2. Girls are better at math than boys 3. Boys and girls do not differ in their math achievement
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The
1. Mean math achievement for boys is higher than that of girls
2. Mean math achievement for girls is higher than that of boys
3. The numbers are not different, statistically speaking
From these results, what might you conclude?
1. Boys are better at math than girls
2. Girls are better at math than boys
3. Boys and girls do not differ in their math achievement
![Group Statistics
Std. Error
Gender
N
Mean
Std. Deviation
Mean
Math Achievement
Male
443
51.2906
12.72363
.60452
Female
556
50.4469
11.91780
.50543
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of Means
95% Confidence Interval of the
Significance
Difference
Mean
Difference
Std. Error
F
Sig.
t
df
One-Sided p
Two-Sided p
Difference
Lower
Upper
Math Achievement
Equal variances
2.493
.115
1.079
997
.140
.281
.84376
78216
-.69111
2.37864
assumed
Equal variances not
1.071
918.491
.142
.285
.84376
.78797
-.70267
2.39020
assumed
Independent Samples Effect Sizes
95% Confidence Interval
Point
Standardizera
Estimate
Lower
Upper
Math Achievement
Cohen's d
12.28157
.069
-.056
.194
Hedges' correction
12.29082
.069
-.056
.193
Glass's delta
11.91780
.071
-.054
.196
a. The denominator used in estimating the effect sizes.
Cohen's d uses the pooled standard deviation.
Hedges' correction uses the pooled standard deviation, plus a correction factor.
Glass's delta uses the sample standard deviation of the control group.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5f40299c-27dc-4ac7-aa0c-e1d67b1527e2%2F7050051c-7523-44cb-8e0c-11afeef15977%2F4hh8ew2_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Group Statistics
Std. Error
Gender
N
Mean
Std. Deviation
Mean
Math Achievement
Male
443
51.2906
12.72363
.60452
Female
556
50.4469
11.91780
.50543
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of Means
95% Confidence Interval of the
Significance
Difference
Mean
Difference
Std. Error
F
Sig.
t
df
One-Sided p
Two-Sided p
Difference
Lower
Upper
Math Achievement
Equal variances
2.493
.115
1.079
997
.140
.281
.84376
78216
-.69111
2.37864
assumed
Equal variances not
1.071
918.491
.142
.285
.84376
.78797
-.70267
2.39020
assumed
Independent Samples Effect Sizes
95% Confidence Interval
Point
Standardizera
Estimate
Lower
Upper
Math Achievement
Cohen's d
12.28157
.069
-.056
.194
Hedges' correction
12.29082
.069
-.056
.193
Glass's delta
11.91780
.071
-.054
.196
a. The denominator used in estimating the effect sizes.
Cohen's d uses the pooled standard deviation.
Hedges' correction uses the pooled standard deviation, plus a correction factor.
Glass's delta uses the sample standard deviation of the control group.
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