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

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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
 
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.
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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