Independent Samples TestLevene's Test for Equality oft-test for Equality ofVariancesMeanst gphnSig.mCrime rate (number of offences permillion population)Equal variances.543.4652.002assumedInemyolonEqual variances not1.948assumedIndependent Samples Testt-test for Equality of MeansJs MeanDifferencepnogatSig. (2-tailed)dfCrime rate (number of offences per millionpopulation)17.53958Equal variances assumed45.051.06225.71017.53958Equal variances notassumedinemyolamonUIndependent Samples Testt-test for Equality of Means95% Confidence Interval of theDifferenceStd. ErrorDifferenceUpperLower35.18145-.10228Crime rate (number of offences permillion population)8.75917Equal variancesassumed36.05327-.974109.00183Equal variances notassumedC30Ar800 09

Question
Asked Feb 7, 2020
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1.) What was the t value?

2.) What was the p value?

Independent Samples Test
Levene's Test for Equality of
t-test for Equality of
Variances
Means
t gphn
Sig.m
Crime rate (number of offences per
million population)
Equal variances
.543
.465
2.002
assumed
Inemyolon
Equal variances not
1.948
assumed
Independent Samples Test
t-test for Equality of Means
Js Mean
Difference
pnogatSig. (2-
tailed)
df
Crime rate (number of offences per million
population)
17.53958
Equal variances assumed
45
.051
.062
25.710
17.53958
Equal variances not
assumed
inemyolamonU
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval of the
Difference
Std. Error
Difference
Upper
Lower
35.18145
-.10228
Crime rate (number of offences per
million population)
8.75917
Equal variances
assumed
36.05327
-.97410
9.00183
Equal variances not
assumed
C30A
r800 09
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Independent Samples Test Levene's Test for Equality of t-test for Equality of Variances Means t gphn Sig.m Crime rate (number of offences per million population) Equal variances .543 .465 2.002 assumed Inemyolon Equal variances not 1.948 assumed Independent Samples Test t-test for Equality of Means Js Mean Difference pnogatSig. (2- tailed) df Crime rate (number of offences per million population) 17.53958 Equal variances assumed 45 .051 .062 25.710 17.53958 Equal variances not assumed inemyolamonU Independent Samples Test t-test for Equality of Means 95% Confidence Interval of the Difference Std. Error Difference Upper Lower 35.18145 -.10228 Crime rate (number of offences per million population) 8.75917 Equal variances assumed 36.05327 -.97410 9.00183 Equal variances not assumed C30A r800 09

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Expert Answer

Step 1

Note:

It is noticed that there are two cases for both t-value and the p-value, so we are mentioning two cases.

Step 2

1).

From the given output, it can be observed that,

Case1: when equal variances assumed, the value of t is ...

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