Question

In: Statistics and Probability

In a survey of 262 smokers , 189 smokers considered themselves addicted to cigarettes. A.) Find...

In a survey of 262 smokers , 189 smokers considered themselves addicted to cigarettes.

A.) Find a point estimate for p, smokers that considered themselves addicted.

B.) Construct a 95% C.I. for the population proportion.

C.) Construct a 99% C.I. for the population proportion.

Solutions

Expert Solution

Solution :

Given that,

A) Point estimate = sample proportion = = x / n = 189 / 262 = 0.721

1 - = 1 - 0.721 = 0.279

B) Z/2 = Z0.025 = 1.96  

Margin of error = E = Z / 2 * (( * (1 - )) / n)

= 1.96 (((0.721 * 0.279) / 262)

= 0.054

A 95% confidence interval for population proportion p is ,

± E

= 0.721   ± 0.054

= ( 0.667, 0.775 )

C) Z/2 = Z0.005 = 2.576

Margin of error = E = Z / 2 * (( * (1 - )) / n)

= 2.576 (((0.721 * 0.279) / 262)

= 0.071

A 99% confidence interval for population proportion p is ,

± E

= 0.721   ± 0.071

= ( 0.650, 0.792 )


Related Solutions

A research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes...
A research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. They found the distribution of amounts spent per week, followed the normal distribution with the standard deviation of $5. A sample of 49 steady smokers reveal that mean=20. a). What is the point estimate of the population mean? explain what it indicates b). using the 95% level of confidence. determine the confidence interval for sample mean. explain what it indicates
A research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes...
A research firm conducted a survey to determine the mean amount steady smokers spend on cigarettes during a week. The population mean is $25 and the population standard deviation is $15. What is the probability that a sample of $100 steady smokers spend between $24 and $26? a. 0.495 b. 0.252 c. 0.248 d. 0.748
In 2003 a survey of 35,000 adults showed that 26% were smokers. In 2010 a survey...
In 2003 a survey of 35,000 adults showed that 26% were smokers. In 2010 a survey of 45,000 adults showed that 21% were smokers. Construct a 95% confidence interval for the true difference between proportions. a) (4.41% , 5.59%) b) (3.33% , 6.67%) c) (4.82% , 5.18%) d) (3.83% , 6.17%)
Cigarettes are proven to lead to serious negative health effects for both smokers and those exposed...
Cigarettes are proven to lead to serious negative health effects for both smokers and those exposed to the second-hand smoke. In an effort to reduce smoking, the government requires the suppliers of cigarettes to pay a per-unit tax on each pack of cigarettes sold. Which of the following statement below is true regarding who would be most against this tax policy? Assume that the degree of opposition to the tax corresponds exactly to the increase in price paid by the...
The following table summarizes some of the results in the meta-analysis for smokers who used e-cigarettes...
The following table summarizes some of the results in the meta-analysis for smokers who used e-cigarettes with nicotine. total Sample Number who stopped smoking Study 1 464 93 Study 2 289 21 Study 3 200 22 Study 4 35 16 Study 5 40 5 Study 6 214 67 Answer the following questions: Find the total number of smokers in all six studies and the total number who stopped smoking. Find a new confidence interval for the proportion of smokers who...
A survey of 10 smokers showed that they smoke an average of 13 packs. the data...
A survey of 10 smokers showed that they smoke an average of 13 packs. the data follows a normal distribution, with a previous record of standard deviation as 3 packs per week. find the 95% confidence interval for the true average of packs smoked per week. What is the sample mean value? Which distribution is used in this case? What is the Maximal Margin of Error? What is the confidence interval?
In a study of Americans from a variety of professions were asked if they considered themselves...
In a study of Americans from a variety of professions were asked if they considered themselves left-handed, right-handed, or ambidextrous. The results are given below: Profession right left ambidextrous total Teacher 101 10 7 118 Engineer 115 26 7 148 Surgeon 121 5 6 132 Firefighter 83 16 6 105 Police Officer 116 10 6 132 Total 536 67 32 635 Is there enough evidence to conclude that proportion of left-handed surgeons is less than the proportion of left-handed Engineers?...
In a study of Americans from a variety of professions were asked if they considered themselves...
In a study of Americans from a variety of professions were asked if they considered themselves left-handed, right-handed, or ambidextrous. The results are given below: Profession Right Left Ambidextrous Total Psychiatrist 101 10 7 118 Architect 115 26    7     148 Orthopedic Surgeon 121    5 6 132 Lawyer 83 16 6 105 Dentist 116 10 6 132 Total 536 67 32 635 1. Test for an association between handedness and career for these five professions. What do you conclude...
Of n1 randomly selected male smokers, X1 smoked filter cigarettes, whereas of n2 randomly selected female...
Of n1 randomly selected male smokers, X1 smoked filter cigarettes, whereas of n2 randomly selected female smokers, X2 smoked filter cigarettes. Let p1 and p2 denote the probabilities that a randomly selected male and female, respectively, smoke filter cigarettes. a) Show that (X1/n1)−(X2/n2) is an unbiased estimator for p1−p2. [Hint: E(Xi)=nipi for i=1,2.]? b) What is the standard error of the estimator in part (a)? c) How would you use the observed values x1 and x2 to estimate the standard...
A survey of 29 smokers showed that they smoke an average of 13 packs per week....
A survey of 29 smokers showed that they smoke an average of 13 packs per week. If the data follows a normal distribution with a standard deviation of 3 packs per week, find the 99% confidence interval for the true average of packs smoked per week.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT