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Population Proportion: Prepared By: Mr. Ian Anthony M. Torrente, LPT

This document provides information and examples on how to calculate and test population proportions. It defines a population proportion as a fraction of the population that shares a characteristic. The formula for a population proportion is presented, along with the steps for testing hypotheses about a proportion. Three examples are worked through to demonstrate how to test if a sample proportion is significantly different than a hypothesized population proportion.

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Ramona Baculinao
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0% found this document useful (0 votes)
125 views11 pages

Population Proportion: Prepared By: Mr. Ian Anthony M. Torrente, LPT

This document provides information and examples on how to calculate and test population proportions. It defines a population proportion as a fraction of the population that shares a characteristic. The formula for a population proportion is presented, along with the steps for testing hypotheses about a proportion. Three examples are worked through to demonstrate how to test if a sample proportion is significantly different than a hypothesized population proportion.

Uploaded by

Ramona Baculinao
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PPTX, PDF, TXT or read online on Scribd
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POPULATION PROPORTION

Prepared by: Mr. Ian Anthony M. Torrente, LPT


 

𝑥−𝜇
𝑡  =
𝑠
√𝑛
𝐶𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛
  : If n<30

𝑑𝑓
  = ( 𝑛 −1 )

 
 𝑧= 𝑥 − 𝜇
𝜎
√𝑛

𝐶𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛
  : If n ≥30
𝐷𝑒𝑡𝑒𝑟𝑚𝑖𝑛𝑒
  𝑡ℎ𝑒 𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 𝑣𝑎𝑙𝑢𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑓𝑓 .

 1. = 1.860
2. = -2.145

3. =   2.845

4. = -1.316

5. =   2.306

6. to the right.(one-tailed)   =

7. to the left.( one-tailed)   =

  =

9.   =

10.   =
What is population proportion?
 A population proportion is
a fraction of the
population that has a certain
characteristic. 

 A population proportion
generally denoted as P – is a
parameter that describes a
percentage value associated
with a population.
The formula for population proportion is given by:

¿ ¿
  𝑝 −𝑝 𝑝 −𝑝
𝑧= 𝑜𝑟 𝑧=
𝑝𝑞 𝑝 (1 − 𝑝 )
√𝑛 √ 𝑛

𝐹𝑜𝑟𝑚𝑢𝑙𝑎
  𝑖𝑓 𝑝¿ 𝑖𝑠 𝑚𝑖𝑠𝑠𝑖𝑛𝑔 :
 
  ¿ 𝑥
𝑝 =
• p = population proportion 𝑛
• n = sample size
• q = 1-p
• X = part of the sample
• N = total number of sample
The following steps when testing hypothesis
concerning a proportion:

 Step 1 : State the null and alternative hypothesis


 Step 2: Choose a level of significance and critical values.
 Step 3: Compute for the test – statistics
 Step 4: Decision
 Step 5: Conclusion

0 0 0
Example 1:
The players believes the chance of winning in a game is greater than 65%. In a random sample
of 150 games , The players won 118 times. Is there enough evidence to suggest that the players
are cheaters? Use the 0.01 level of significance.

Step 1 : State the null and alternative hypothesis Step 4: Decision


𝐻
  𝑜 : 𝑝 ≤65 %  𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝑅𝑒𝑗𝑒𝑐𝑡𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
𝐻
  𝑎 : 𝑝>65 % (𝑐𝑙𝑎𝑖𝑚) 𝑅𝑒𝑗𝑒𝑐𝑡
  𝑇ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
Step 2: Choose a level of significance and critical values.
∝=0.
  01 Step 5: Conclusion
𝐶𝑟𝑖𝑡𝑖𝑐𝑎𝑙
  𝑉𝑎𝑙𝑢𝑒=2. 326 𝑇ℎ𝑒
  𝑐𝑙𝑎𝑖𝑚 𝑖𝑠𝑡𝑟𝑢𝑒
Step 3: Compute for the test – statistics  
𝐺𝑖𝑣𝑒𝑛
  : ¿
 𝑝 =0 . 79 , 𝑝=0 . 65 , 𝑛=150 , 𝑞=0 .35
¿
  𝑝 −𝑝   0 . 79 −0 . 65   0 . 14
𝑧= 𝑧= 𝑧=
𝑝 (𝑞) (0 . 65)(0 . 35) 0 . 038944404 𝑧=3
  . 59
√ 𝑛 √ 150
Example 2: The NCHS claims that in 2002, 75% of children aged 2 to 17 saw a dentist in the past year. An
investigator wants to assess whether use of dental services is similar in children living in the city of Boston.
A sample of 125 children aged 2 to 17 living in Boston are surveyed and 64 reported seeing a dentist over
the past 12 months. Is there a significant difference in use of dental services between children living in
Boston and the national data? Use a level of significance of 0.05.

Step 1 : State the null and alternative hypothesis Step 4: Decision


 𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝑅𝑒𝑗𝑒𝑐𝑡 𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
𝐻
  𝑜 : 𝑝=75 %(𝑐𝑙𝑎𝑖𝑚)
𝐻
  𝑎 : 𝑝 ≠7 5 %
𝑅𝑒𝑗𝑒𝑐𝑡
  𝑇ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
Step 2: Choose a level of significance and critical values. Step 5: Conclusion
∝=0.
  05 𝑇ℎ𝑒
  𝑐𝑙𝑎𝑖𝑚 𝑖𝑠 𝑓𝑎𝑙𝑠𝑒 .
𝐶𝑟𝑖𝑡𝑖𝑐𝑎𝑙
  𝑉𝑎𝑙𝑢𝑒=±1 . 960  
Step 3: Compute for the test – statistics
𝐺𝑖𝑣𝑒𝑛
  :  𝑝¿ =0 . 51, 𝑝=0 . 75 ,𝑛=125 , 𝑞=0. 25
 𝑧= 𝑝
¿
−𝑝   0 . 51 −0 . 75   − 0 . 24 𝑧=− 6 .196 → −6 . 20
𝑧= 𝑧=  
𝑝 (𝑞) (0 .75)(0 . 25) 0 . 038729833
√ 𝑛 √ 125
Example 3:
A research is conducted on a certain company believes last year showed that is less than or equal to 25% of
the employees would rather drink coffee than soft drinks during break time. The company has recently
decided to give free coffee during break time. In the new research conducted this year, out of 125 randomly
sampled employee 28% said that they would rather drinks coffee than soft drinks. At 0.05 level of
significance is there a sufficient evidence to suggest that the coffee drinkers have increased since the
company has decided to give free coffee during break time?

Step 1 : State the null and alternative hypothesis Step 4: Decision


𝐻
  𝑜 : 𝑝 ≤25 % (𝑐𝑙𝑎𝑖𝑚 )  𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝑅𝑒𝑗𝑒𝑐𝑡 𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
𝐻
  𝑎 : 𝑝>25 % 𝑅𝑒𝑗𝑒𝑐𝑡
  𝑇ℎ𝑒 𝑁𝑢𝑙𝑙 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠 , 𝐴𝑐𝑐𝑒𝑝𝑡 𝑡ℎ𝑒 𝐴𝑙𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑣𝑒 𝐻𝑦𝑝𝑜𝑡ℎ𝑒𝑠𝑖𝑠
Step 2: Choose a level of significance and critical values.
∝=0
  . 05 Step 5: Conclusion
𝐶𝑟𝑖𝑡𝑖𝑐𝑎𝑙
  𝑉𝑎𝑙𝑢𝑒=1. 645 𝑇ℎ𝑒
  𝑐𝑙𝑎𝑖𝑚 𝑖𝑠𝑡𝑟𝑢𝑒
Step 3: Compute for the test – statistics  
𝐺𝑖𝑣𝑒𝑛
  :  𝑝¿ =0. 28 , 𝑝=0 . 25 , 𝑛=125 , 𝑞=0 . 75
¿
  𝑝 −𝑝   0 . 28 −0 . 25   0 . 03 𝑧=0 . 7745 →0 . 77
𝑧= 𝑧= 𝑧=  
𝑝 (𝑞) (0 . 25)(0 . 75) 0 . 038729833
√ 𝑛 √ 125
THANK YOU
AND
GODBLESS 

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