question archive a) Two sample of size 10 and 8 had sample mean 18cm and 12cm with variances 25 and 16
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a) Two sample of size 10 and 8 had sample mean 18cm and 12cm with variances 25 and 16. Supposing that the samples have been drawn from normal populations. Test H0: µ1= µ2 at 5% level of significance.
b) Eights pots, growing three barley plants each, were exposed to high tension discharge while nine similar pots were enclosed in an earthed wire cage. The number of tillers (shoots) in each pot was as follows:
Caged: 17, 27, 18, 25, 27, 29, 27, 23, 17.
Electrified: 16, 16, 20, 16, 21, 17, 15, 20.
Discuss whether electrification exercises any real effect on tillers.
c) A Public Opinion poll surveyed a simple random sample of 800 voters. Respondents were classified by gender (male or female) and by voting preference (PPP, PLMN, or Independent). Results are shown in the contingency table.
Gender
Voting Preferences
PPP
PLMN
Independent
Male
100
150
50
Female
150
300
50
Required: Is there a gender gap? Do the men's voting preferences differ significantly from the women's preferences? State the Hypothesis. Use a 0.05 level of significance.
Answer:
a)H0: µ1= µ2
Ha: µ1≠µ2
n1=10
x1=18
s12=25
n2=8
x2=12
s22=16
Pooled Variance = (10*25+8*16)/(10+8) =21
Pooled standard deviation=√21 =4.5825757
Standard error=4.5825757*√(1/10+1/8)
=2.17371
t-statistic= difference of means/standard error
=(18-12)/2.17371
=2.760258
Degree of freedom= 10+8-2 = 16
t-critical= 2.12
As t-calculated is greater than t-critical value, we have enough evidence to reject the null hypothesis and thus we conclude that µ1≠µ2.
b)H0: Electrification and under cage has same impact on tillers
Ha: Electrification has greater impact on tillers
As the p-value is less than the level of significance we have enough evidence to reject the null hypothesis and thus we conclude that Electrification has real impact on tillers.
c) H0: there is no difference between males' and females' voting preferences
Ha: there is significant difference between males'and females'voting preferences.
Expected value = Row total*Column total/Grand total
Chi-square = sum{(O-E)²/E}
=10.6666667
P-VALUE is calculated in excel sheet using the formula=chi.dist(10.666667,5) =0.058404547
As the p-value is greater than the level of significance (0.05), we don't have enough evidence to reject the null hypothesis and thus we conclude that the men's voting preferences doesn't differ significantly from the women's preferences.
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