Standard Deviation Assignment Help

Page 1

For More Visit: https://www.statisticsassignmenthelp.com/ support@statisticsassignmenthelp.com +1 (315) 557-6473 Standard Deviation Assignment Help
1. Find the sample size needed to estimate the proportion of houses that have security systems if the sample proportion € p ˆ = 0.19, the margin of error is 0.02, and the confidence level is 90%. Margin of error = Zc*SQRT(p*(1-p)/N) N = (Zc/Margin of error)2*p*(1-p) = (1.645/0.02)2*0.19*0.81 = 1040.958 The sample size has to be at least 1041 people 2. Suppose that in a random sample of 50 adults, 41 were registered to vote. Construct a 95% confidence level interval for the population proportion of registered voters. 95% confidence interval = (p-Zc*SQRT(p*(1-p)/N), p+Zc*SQRT(p*(1-p)/N)) P = 41/50 = 0.82 95% confidence interval = (0.82 – 1.96*sqrt(0.82*0.18/50), 0.82 + 1.96*sqrt(0.82*0.18/50)) 95% confidence interval = (0.7135, 0.9265) 3. The mean age of sample of 100 cars from a certain manufacturer is found to be eleven years. If the sample standard deviation of car ages is 5 years, give a 99% confidence interval for the mean age of cars from this manufacturer. www.statisticsassignmenthelp.com
99% confidence interval = (Mean – tc*SD/SQRT(N), Mean +tc*SD/SQRT(N)) 99% confidence interval = (9.686797, 12.3132) 4. The sample standard deviation of the ages of a random sample of 40 television sets in a neighborhood is 3 years. Find a 95% confidence interval for the standard deviation of the entire population of televisions in this neighborhood. Assume that these ages are randomly distributed. 95% confidence interval of standard deviation = (SQRT((n-1)*s2/χ2 U), SQRT((n1)*s2/χ2 L)) 95% confidence interval of standard deviation = (SQRT(39*32/58.12006), SQRT(39*32/23.70775) 95% confidence interval of standard deviation = (2.4575, 3.8478) For problems 5 and 6 a washing machine maker claims that 90% of the machines it has sold are still working. A random survey of 100 of the maker’s washing machines reveal that 85 of them are still working. Does this contradict the maker's claim at a 5% level of significance? Use the P value to determine this. www.statisticsassignmenthelp.com

5. Give the null hypothesis and the alternative hypothesis used here.

Null hypothesis: Proportion of washing machines that are still working is 90% Alternate hypothesis: Proportion of washing machines that are still working is not 90%

6. Give the P-value and the conclusion to the question from this P-value.

Z-statistic = (0.85 – 0.90)/SQRT(0.9*0.1/100) = -1.6667 P-value = 0.09558

As the p-value is greater than the 0.05 level of significance, we fail to reject the null hypothesis. Thus, the data doesn’t contradict the maker’s claim at 0.05 level of significance.

For problems 7 and 8, an auto manufacturer claims that the average length of time that one of its cars is owned before it requires a major repair is at least seven years. Assume that a survey of ten owners of the manufacture's cars finds that they went an average of 6 years before a major repair and the sample standard deviation for such time lengths was 1.8 years. Use the data to test the manufacture's claim at a 5% significance level www.statisticsassignmenthelp.com

7. Give the null hypothesis and alternative hypothesis and critical value(s) used to test this claim.

Null Hypothesis: average length of time that one of the cars is owned before it requires a major repair is greater than or equal to seven years

Alternate Hypothesis: average length of time that one of the cars is owned before it requires a major repair is less than seven years

8. Give the test statistic and use this to test the manufacturer's claim at a 5% significance level and draw a conclusion based on this.

Test statistic = (6 – 7)(1.8/sqrt(10)) = -1.7568 P-value = 0.0564 > 0.05

Therefore, at 5% significance level, we fail to reject the null hypothesis.There is insufficient evidence to reject the manufacturer’s claim

For problems 9 and 10, a machine shop claims that the measurements of the parts it produces are uniform with a standard deviation of 1.3 millimeters. A test sample of 31 parts from the shop has a standard deviation of 1.8 millimeters.

9. Give the null and alternative hypothesis and critical value(s). www.statisticsassignmenthelp.com

Null hypothesis: The variance of parts is equal to 1.32 = 1.69 millimeters2

Alternate hypothesis:The variance of parts is not equal to 1.3 = 1.69 millimeters2

The critical values are 18.493 and 43.733

10. Give the test statistic and use this to find if this result contradicts the shop's claim at a 10% level of significance.

Test statistic = (N-1)*s2/σ2= (30)*(1.82)/(1.32) = 57.514

As, the test statistic is beyond the critical values, we reject the null hypothesis. We conclude the standard deviation of measurement of parts is not 1.3 millimeters. www.statisticsassignmenthelp.com

Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.