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reducing the overall number of pregnancies in a highly populated area

Question

 An investigator wants to determine if a new program aimed at reducing the overall number of pregnancies in a

highly populated area is effective (reducing average births below 6 per household). In order to carry out the investigation, the investigator conducts a simple random sample of 19 participants in the program and finds the average number of births is 4.7 with a sample standard deviation of 0.9 births. Construct a 95% confidence interval for the average number of births per household in this study. Provide a correct interpretation of your interval.

Parameter of interest

Point estimate

(statistic)

Large samples – all samples are of size 25 or more

Hypothesis testing

CI formulas

Statistic ± (z or t multiplier)*SE

H0 and Ha

Test statistic

Z or t = μ

H0: μ= μ0 vs

Ha: μ<μ0, μ μ0  or μ> μ0

Z =

p

H0:p = p0 vs

Ha: p<p0, p p0  or p> p0

Z =      if n > 5

           if n > 5

μ 1 – μ2 independent samples

 –

H0: μ 1 – μ2 = D0 vs

Ha: μ 1 – μ2 <D0, μ 1 – μ2  D0 or μ 1 – μ2 > D0 -most times D0 = 0

Z =

μ 1 – μ2

matched pairs

D(delta)

H0: μ = μ 1 – μ2 = D0 vs

Ha: μ 1 – μ2 <D0, μ 1 – μ2  D0 or μ 1 – μ2 > D0 -most times D0 = 0

Z =

p1 -p2

 –

H0: p 1 – p2 = 0 vs

Ha: p 1 – p2 <0, p1 – p2  0 or p1 – p2 > 0 -most times D0 = 0

Z = , with P=, where x1, x2 are # of successes from samples 1 and 2 respectively.

 –   

Parameter of interest

Point estimate

Small samples – at least one less than 25

Hypothesis testing

CI formula

Assumptions/conditions

μ

H0: μ= μ0 vs

Ha: μ<μ0, μ μ0  or μ> μ0

t = , df=n-1

   )

Population of X is

normal

or

symmetric with n between 5 and 10

or

 skewed with n at least 30

p

μ 1 – μ2 independent samples

 –

H0: μ 1 – μ2 = D0 vs

Ha: μ 1 – μ2 <D0, μ 1 – μ2  D0 or μ 1 – μ2 > D0 -most times D0 = 0

t =  with df =  + n2 -2

and squared   = , where s1 ,s2 are sample standard deviations of samples 1 and 2 .

 –    

1.Populations of both X1 and X2 are normal

2.Variances of X1 and X2 are equal

3.X1 and X2 are independent.

μ 1 – μ2

matched pairs

D(delta)

H0: μ = μ 1 – μ2 = D0

Ha: μ 1 – μ2 <D0, μ 1 – μ2  D0 or μ 1 – μ2 > D0 -most times D0 = 0

Population of deltas is normal

or

symmetric with n between 5 and 10.

or

 skewed with n at least 30.

Hypothesis Testing  CI s and sample size formulas and some definitions

 
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