Null Hypothesis

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Experience in investigating insurance claims shows that the average cost to process a claim is approximately normally distributed with a mean of 80 dollars. New cost-cutting measures were started and a sample of 25 claims was tested. The sample mean of the costs to process these claims was %76 and the sample standard deviation of the costs was $10. We would like to test whether the cost-cutting measures seem to be working at the 5% significance level.



State the null and alternative hypotheses for this test



Here is the t-distribution table



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    Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
    – Michael Hardy
    Apr 21 '14 at 21:55










  • No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
    – Hani Abdullah
    Apr 21 '14 at 22:18














up vote
1
down vote

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Experience in investigating insurance claims shows that the average cost to process a claim is approximately normally distributed with a mean of 80 dollars. New cost-cutting measures were started and a sample of 25 claims was tested. The sample mean of the costs to process these claims was %76 and the sample standard deviation of the costs was $10. We would like to test whether the cost-cutting measures seem to be working at the 5% significance level.



State the null and alternative hypotheses for this test



Here is the t-distribution table



enter image description here







share|cite|improve this question

















  • 1




    Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
    – Michael Hardy
    Apr 21 '14 at 21:55










  • No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
    – Hani Abdullah
    Apr 21 '14 at 22:18












up vote
1
down vote

favorite









up vote
1
down vote

favorite











Experience in investigating insurance claims shows that the average cost to process a claim is approximately normally distributed with a mean of 80 dollars. New cost-cutting measures were started and a sample of 25 claims was tested. The sample mean of the costs to process these claims was %76 and the sample standard deviation of the costs was $10. We would like to test whether the cost-cutting measures seem to be working at the 5% significance level.



State the null and alternative hypotheses for this test



Here is the t-distribution table



enter image description here







share|cite|improve this question













Experience in investigating insurance claims shows that the average cost to process a claim is approximately normally distributed with a mean of 80 dollars. New cost-cutting measures were started and a sample of 25 claims was tested. The sample mean of the costs to process these claims was %76 and the sample standard deviation of the costs was $10. We would like to test whether the cost-cutting measures seem to be working at the 5% significance level.



State the null and alternative hypotheses for this test



Here is the t-distribution table



enter image description here









share|cite|improve this question












share|cite|improve this question




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edited Apr 23 '14 at 18:06
























asked Apr 21 '14 at 21:41









Hani Abdullah

185




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  • 1




    Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
    – Michael Hardy
    Apr 21 '14 at 21:55










  • No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
    – Hani Abdullah
    Apr 21 '14 at 22:18












  • 1




    Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
    – Michael Hardy
    Apr 21 '14 at 21:55










  • No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
    – Hani Abdullah
    Apr 21 '14 at 22:18







1




1




Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
– Michael Hardy
Apr 21 '14 at 21:55




Do you have a question of your own, or are you passing on to us a question written by someone other than yourself by just copying it? Phrasing a question in a manner suitable for assigning homework is frowned upon here.
– Michael Hardy
Apr 21 '14 at 21:55












No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
– Hani Abdullah
Apr 21 '14 at 22:18




No sir this not like that. I did solve that question with the help of my teacher but i need to know the exact procedure of it. So could u please help me out?
– Hani Abdullah
Apr 21 '14 at 22:18










1 Answer
1






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oldest

votes

















up vote
0
down vote













I think instead of saying "the average cost to process a claim is approximately normally distributed with a mean of 80 dollars" you should have said "the cost to process a claim is approximately normally distributed with a mean of 80 dollars", letting the word "mean" be the only reference to averages.



The null hypothesis would be that the cost-cutting measures had no effect, so that that mean is still at least 80 dollars. The alternative hypothesis were effective, so that the mean is now lower than that.



Generally a null hypothesis is something presumed true until statistical evidence indicates otherwise.






share|cite|improve this answer





















  • H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:06











  • Yes. $qquad$
    – Michael Hardy
    Apr 23 '14 at 16:27










  • How can we test the critical value for this test Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:29










  • I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
    – Hani Abdullah
    Apr 23 '14 at 16:31










  • You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
    – Michael Hardy
    Apr 23 '14 at 17:58










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1 Answer
1






active

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1 Answer
1






active

oldest

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active

oldest

votes






active

oldest

votes








up vote
0
down vote













I think instead of saying "the average cost to process a claim is approximately normally distributed with a mean of 80 dollars" you should have said "the cost to process a claim is approximately normally distributed with a mean of 80 dollars", letting the word "mean" be the only reference to averages.



The null hypothesis would be that the cost-cutting measures had no effect, so that that mean is still at least 80 dollars. The alternative hypothesis were effective, so that the mean is now lower than that.



Generally a null hypothesis is something presumed true until statistical evidence indicates otherwise.






share|cite|improve this answer





















  • H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:06











  • Yes. $qquad$
    – Michael Hardy
    Apr 23 '14 at 16:27










  • How can we test the critical value for this test Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:29










  • I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
    – Hani Abdullah
    Apr 23 '14 at 16:31










  • You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
    – Michael Hardy
    Apr 23 '14 at 17:58














up vote
0
down vote













I think instead of saying "the average cost to process a claim is approximately normally distributed with a mean of 80 dollars" you should have said "the cost to process a claim is approximately normally distributed with a mean of 80 dollars", letting the word "mean" be the only reference to averages.



The null hypothesis would be that the cost-cutting measures had no effect, so that that mean is still at least 80 dollars. The alternative hypothesis were effective, so that the mean is now lower than that.



Generally a null hypothesis is something presumed true until statistical evidence indicates otherwise.






share|cite|improve this answer





















  • H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:06











  • Yes. $qquad$
    – Michael Hardy
    Apr 23 '14 at 16:27










  • How can we test the critical value for this test Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:29










  • I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
    – Hani Abdullah
    Apr 23 '14 at 16:31










  • You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
    – Michael Hardy
    Apr 23 '14 at 17:58












up vote
0
down vote










up vote
0
down vote









I think instead of saying "the average cost to process a claim is approximately normally distributed with a mean of 80 dollars" you should have said "the cost to process a claim is approximately normally distributed with a mean of 80 dollars", letting the word "mean" be the only reference to averages.



The null hypothesis would be that the cost-cutting measures had no effect, so that that mean is still at least 80 dollars. The alternative hypothesis were effective, so that the mean is now lower than that.



Generally a null hypothesis is something presumed true until statistical evidence indicates otherwise.






share|cite|improve this answer













I think instead of saying "the average cost to process a claim is approximately normally distributed with a mean of 80 dollars" you should have said "the cost to process a claim is approximately normally distributed with a mean of 80 dollars", letting the word "mean" be the only reference to averages.



The null hypothesis would be that the cost-cutting measures had no effect, so that that mean is still at least 80 dollars. The alternative hypothesis were effective, so that the mean is now lower than that.



Generally a null hypothesis is something presumed true until statistical evidence indicates otherwise.







share|cite|improve this answer













share|cite|improve this answer



share|cite|improve this answer











answered Apr 22 '14 at 1:35









Michael Hardy

204k23186463




204k23186463











  • H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:06











  • Yes. $qquad$
    – Michael Hardy
    Apr 23 '14 at 16:27










  • How can we test the critical value for this test Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:29










  • I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
    – Hani Abdullah
    Apr 23 '14 at 16:31










  • You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
    – Michael Hardy
    Apr 23 '14 at 17:58
















  • H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:06











  • Yes. $qquad$
    – Michael Hardy
    Apr 23 '14 at 16:27










  • How can we test the critical value for this test Sir?
    – Hani Abdullah
    Apr 23 '14 at 16:29










  • I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
    – Hani Abdullah
    Apr 23 '14 at 16:31










  • You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
    – Michael Hardy
    Apr 23 '14 at 17:58















H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
– Hani Abdullah
Apr 23 '14 at 16:06





H0: µ = 80 -->null hypothesis... H1: µ < 80 -->alternative hypothesis... So is that correct Sir?
– Hani Abdullah
Apr 23 '14 at 16:06













Yes. $qquad$
– Michael Hardy
Apr 23 '14 at 16:27




Yes. $qquad$
– Michael Hardy
Apr 23 '14 at 16:27












How can we test the critical value for this test Sir?
– Hani Abdullah
Apr 23 '14 at 16:29




How can we test the critical value for this test Sir?
– Hani Abdullah
Apr 23 '14 at 16:29












I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
– Hani Abdullah
Apr 23 '14 at 16:31




I think that Critical value for a one-tailed test (the alternative hypothesis shows a specific direction) can be found using a z-table at .05 level of significance. But i am not sure how to do that. Am i correct in this sir?
– Hani Abdullah
Apr 23 '14 at 16:31












You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
– Michael Hardy
Apr 23 '14 at 17:58




You can use $T=dfracbar x - 80S/sqrtn$ as a test statistic, where $n=25$ is the sample size, $S=10$ is the sample standard deviation, and $bar x=76$ is the sample mean. If the null hypothesis is true this should have a t-distribution with $24$ degrees of freedom. So you would reject the null hypothesis if $T<c$ where $Pr(T<cmidtextnull)=0.05$. $qquad$
– Michael Hardy
Apr 23 '14 at 17:58












 

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