for Prof Double R

profilestudent95
cive160groupproject.docx

Task 1: Descriptive Statistics

Descriptive Statistics

Variable

A4

A8

A12

‘Sample mean

8.798

3876

37.85

Sample variance

2.14

2114414

8459.892

Sample std dev

1.4645

1454.102

91.977

Sample range

6.2

8258

647

IQ range

2.025

1416

23.25

Quartile 1

7.675

3104

7

Quartile 2

9.000

3567

14.5

Quartile 3

9.700

4520

30.25

85th quartile

10.43

4855

43.3

hIstogram

Rplot01.jpeg

A12 histogram.png

Box plot

Boxplot.jpeg

boxplot A12.png

Task 2: Hypothesis Testing

2-1

90% CI on the population mean of death rate:

1-0.9=𝜶=0.1

Sample size=n=60

Sample mean==940.36

Sample standard deviation=σ=62.2

μ ≤ x̄ + z𝜶/2(σ/(n)1/2 )

μ ≤ 940.36 + (1.645)(62.2/(60)½)

μ ≤ 953.576

We are 95% confident that the mean death will be less than 953.57.

99% CI on the population mean fe death rate:

1-.99=𝜶=0.01

μ ≤ 940.36 + (2.575)(62.2/(60)½)

μ ≤ 961.04

We are 99% confident that the mean death rate will be less than 961.04

We note that with a larger level of confidence the confidence interval range is also larger.

Hypothesis Testing: (using the p-value approach)

H0: μ = 920

H1: μ = 920

*one-sided hypothesis testing* * use t-distribution because….

Test statistic: t0 = (x̄ - μ)/ (s/(n)1/2 )

=(940.36 - 920)/ (62.2/(60)½)

= 2.535496

2.390 < tp, 59 < 2.660

0.01 < P < 0.005

For confidence level 90% → 𝜶=0.1

Since tp, 59 falls between the two values: 2.390, for which 𝜶=0.01, and 2.660, for which 𝜶=0.005, we can say that the one-tailed test has a p -value between those two values. That is 0.005<P<0.01. Therefore P< 𝜶= 0.1 and hence we reject the H0 and conclude thats the mean death rate is less than 920.

2-2 Random sample of size 25 of death rate:

H0: μ=920 H1: μ<920 → One Sided Test

1. 90% Confidence Interval on the population mean:

1-ɑ=.9 , ɑ=.1, z𝜶 =Z0.1=1.28

Sample size=25

Sample mean=938.6

Sample standard deviation=65.06274 (known→z distribution)

μ ≤ x̄ + z𝜶(σ/(n)1/2 )

μ≤938.6+1.28(65.06274/√25)

μ≤955.256

We are 90% confident that the mean death rate is less than 955.256

2. 99% Confidence Interval on the population mean:

1-ɑ=.99, ɑ=.01, z𝜶 =Z0.01=2.33

μ ≤ x̄ + z𝜶(σ/(n)1/2 )

μ≤938.6+2.33(65.06274/√25)

μ≤968.919

We are 99% confident that the mean death rate is less than 968.919

3. 1. Parameter of Interest: population mean

2. H0: μ=920

3. H1: μ<920 → One Sided Hypothesis test

4. Test statistic: (x̄-μ)/(σ/√n)

5. Rejection Criteria: P-value<⍺

6. z0=(938.6-920)/(65.06274/√25)=0.5717

P-value=P(x̄<z0)=P((x̄-μ)/(σ/√n)<0.5717)=P (Z<0.5717)=.7517

7. P-value=0.7517→P-value⩻⍺→0.7517⩻⍺→No→Accept the Null Hypothesis

Didn’t meet the rejection criteria=>Accept the Null Hypothesis

2-3

n=60

Variable: A1

x̄=37.37, σ=9.98

H0:μ=31.7 H1:μ≠31.7

P-value=P(x̄>37.37)+P(x̄<26.03) z0=(x̄-μ)/(σ/√n)=(37.37-31.7)/(9.98/√60)=4.401→z0=±4.401