Question

In: Statistics and Probability

Use a 5% significance level. In a large city,  200  persons were selected at random and each person...

Use a 5% significance level.

In a large city,  200  persons were selected at random and each person was asked how many tickets he purchased that week in the state lottery. The results are given in the following table. Suppose that among the  7  persons who had purchased  five  or more tickets,  3  persons had purchased exactly five tickets,  2  persons had purchased six tickets,  1  had purchased seven tickets, and  1  had purchased ten tickets. Test the hypothesis that these  200  observations form a random sample from a  Poisson distribution.                                                                                                      

Number of tickets previously purchased Number of Persons
0 52
1 60
2 55
3 18
4 8
5 or more 7

Solutions

Expert Solution

ANSWER::

Ho: distribution is poisson probability distribution
Ha: distribution is not the poisson probability distribution

total observation = ΣO =200      
µ = ΣX*O/n = 291/200=1.455      
expected proportion = e-µ * µ^x / x!      
expected frequency = expected proportion * total observation      

X observed (O)=f X*O expected proportion,p = e-µ * µ^x / x! expected frequency ( E )=p*ΣO
0 52 0 0.233 46.680
1 60 60 0.340 67.920
2 55 110 0.247 49.411
3 18 54 0.120 23.965
4 8 32 0.044 8.717
5 or more 7 35 0.017 3.307

expecte dfrequency is less than 5, so we will merge last two rows.

X observed (O)=f X*O expected proportion,p = e-µ * µ^x / x! expected frequency ( E )=p*ΣO (O-E)²/E
0 52 0 0.233 46.680 0.606
1 60 60 0.340 67.920 0.923
2 55 110 0.247 49.411 0.632
3 18 54 0.120 23.965 1.485
4 or more 15 60 0.060 12.024 0.736

chi square test statistic,X² = Σ(O-E)²/E =   4.383              
                  

level of significance, α=   0.05              
Degree of freedom=k-2 =    5   -   2   =   3
                  
P value =   0.2230   [ excel function: =chisq.dist.rt(test-stat,df) ]          
Decision: P value >α , Do not reject Ho                  

conclusion:distribution is poisson probability distribution

NOTE:: I HOPE YOUR HAPPY WITH MY ANSWER....***PLEASE SUPPORT ME WITH YOUR RATING...

***PLEASE GIVE ME "LIKE"...ITS VERY IMPORTANT FOR ME NOW....PLEASE SUPPORT ME ....THANK YOU


Related Solutions

Suppose a random sample of 100 households were selected from a large city. if the true...
Suppose a random sample of 100 households were selected from a large city. if the true proportion of households in the city that owns at least one pet is 0.4, then what is the probability that at least 50% of the sample owns at least one pet? a) 0.0207 b) 0.9793 c) 0.5793 d) 0.4207 e) 0.2578
Randomly selected birth records were obtained and results arelisted below. Use a 0.01 significance level to...
Randomly selected birth records were obtained and results arelisted below. Use a 0.01 significance level to test the reasonableclaim that births occur with equal frequency on the different daysof the week. How might the apparent lower frequency on Saturday andSunday be explained? Day Sun Mon Tues Wed Thurs Fri Sat Births 43 63 59 58 56 57 45
9.50. Each person in a group of twenty persons is assigned a random number from 1...
9.50. Each person in a group of twenty persons is assigned a random number from 1 to 100 (both included). It is possible for multiple persons to be assigned the same number, and all assignments are equally likely. What is the probability that at least two persons in the group share the same number?
1. Independent random samples of n1 = 200 and n2 = 200 observations were randomly selected...
1. Independent random samples of n1 = 200 and n2 = 200 observations were randomly selected from binomial populations 1 and 2, respectively. Sample 1 had 116 successes, and sample 2 had 122 successes. a) Calculate the standard error of the difference in the two sample proportions, (p̂1 − p̂2). Make sure to use the pooled estimate for the common value of p. (Round your answer to four decimal places.) b) Critical value approach: Find the rejection region when α...
A random sample of n1 = 261 people who live in a city were selected and...
A random sample of n1 = 261 people who live in a city were selected and 77 identified as a "dog person." A random sample of n2 = 101 people who live in a rural area were selected and 52 identified as a "dog person." Find the 95% confidence interval for the difference in the proportion of people that live in a city who identify as a "dog person" and the proportion of people that live in a rural area...
Use 5% level of significance. At the fifth hockey game of the season at a certain...
Use 5% level of significance. At the fifth hockey game of the season at a certain arena, 200 people were selected at random and asked as to how many of the previous four games they had attended. The results are given in the table below. Number of games previously attended Number of People 0 33 1 67 2 66 3 15 4 19 Test the hypothesis that these  200  observed values can be regarded as a random sample from a  binomial distribution,where  ‘θ’  is the...
Assume that you plan to use a significance level of α = 0.05 to test 5)...
Assume that you plan to use a significance level of α = 0.05 to test 5) the claim that p1 = p2. Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test, and make a conclusion addressed to the claim. n1=100 n2=100 x1 = 38 x2 = 40
A random sample of 821 births included 430 boys. Use a 0.01 significance level to test...
A random sample of 821 births included 430 boys. Use a 0.01 significance level to test the claim that 51.1% of newborn babies are boys. Do the results support the belief that 51.1% of newborn babies are boys? Identify the test statistic for this hypothesis test.
A random sample of 862862 births included 426426 boys. Use a 0.010.01 significance level to test...
A random sample of 862862 births included 426426 boys. Use a 0.010.01 significance level to test the claim that 50.850.8​% of newborn babies are boys. Do the results support the belief that 50.850.8​% of newborn babies are​ boys? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. Upper H 0H0​: pequals=0.5080.508 Upper H 1H1​: pless than<0.5080.508 B. Upper H 0H0​: pequals=0.5080.508 Upper H 1H1​: pgreater than>0.5080.508 C. Upper H 0H0​: pequals=0.5080.508 Upper H 1H1​:...
A random sample of 854 births included 431 boys. Use a 0.05 significance level to test...
A random sample of 854 births included 431 boys. Use a 0.05 significance level to test the claim that 51.4​% of newborn babies are boys. Do the results support the belief that 51.4​% of newborn babies are​ boys? Identify the null and alternative hypotheses for this test. Identify the test statistic for this hypothesis test. Identify the​ P-value for this hypothesis test. Identify the conclusion for this hypothesis test. Do the results support the belief that 51.4​% of newborn babies...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT