Question

In: Statistics and Probability

Sample 1:                    {2,4,3,6,7,9,8} Sample 2:                    {

Sample 1:                    {2,4,3,6,7,9,8}

Sample 2:                    {3,7,4,5,9}

  1. Find the mean, median, variance, standard deviation, skewness, minimum, maximum, range, and 95% confidence interval of the population mean for each of the samples.
  2. Construct the 95% confidence interval of the difference of the two population means from which these two samples were drawn.
  3. Test the hypothesis that the population from which the Sample 1 was drawn has a mean that is no more than 7.
  4. Test the hypothesis that the population from which the Sample 2 was drawn has a mean that is no more than 5.
  5. Test the hypothesis that the population from which the Sample 1 was drawn has a variance that is no more than 10.
  6. Test the hypothesis that the population from which the Sample 1 was drawn has a variance that is at least 8.
  7. Test the hypothesis that the population from which the Sample 2 was drawn has a variance that is no more than 6.
  8. Test the hypothesis that the population from which the Sample 2 was drawn has a variance that is at least 7.
  9. Test the hypothesis that the population from which the Sample 1 was drawn has a mean that is at least 5.
  10. Test the hypothesis that the population from which the Sample 2 was drawn has a mean that is at least 6.
  11. Test the hypothesis that the variances of the two populations from which these two samples were drawn are equal to each other.
  12. Test the hypothesis that the population from which the Sample 1 was drawn has a mean that is 2 units more than the population from which the Sample 2 was drawn.
  13. Looking at your answers to questions above, what can you say about the (potentially) two populations from which these two samples were drawn? What do you think about the likelihood that these two samples were in fact drawn from the same population? Provide detailed justification for your answer.

Solutions

Expert Solution

Note : allowed to solve one question per post.

Question 1 has been solved in detail

Sample 1

95% confidence interval using tstat

Sample 2

95% confidence interval using tstat


Related Solutions

Sample 1:                    {2,4,3,6,7,9,8} Sample 2:                    {
Sample 1:                    {2,4,3,6,7,9,8} Sample 2:                    {3,7,4,5,9} Test the hypothesis that the population from which the Sample 1 was drawn has a mean that is no more than 7. Test the hypothesis that the population from which the Sample 2 was drawn has a mean that is no more than 5. Test the hypothesis that the population from which the Sample 1 was drawn has a variance that is no more than 10. Test the hypothesis that the population...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423 2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706 3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476 4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666 5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385 6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686 7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample...
Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423 2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706 3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476 4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666 5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385 6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686 7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574...
Sample 1 Drink Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Time of day...
Sample 1 Drink Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Time of day 2.10pm 2.40pm 3.10pm 3.40pm 4.10pm 4.40pm Time interval (min) 76 30 30 30 30 30 Urination duration (s) 5 5 6 7 6 5 Urine volume (ml) 72 35 95 156 135 76 Urine flow rate (ml/sec) 14.4 7.0 15.8 22.3 22.5 15.2 Urine Production rate (ml/min) Na+ conc’n (mmol/litre) 120 43 12 11 16 17 Na+ excretion rate (mmol/min) Urine osmolality (mOsm/kg H2O)...
If I have 2 samples of limestone, sample 1 weighing 0.732g and sample 2 weighing 0.825g....
If I have 2 samples of limestone, sample 1 weighing 0.732g and sample 2 weighing 0.825g. Both were dissolve do in15ml of 3.00M of HCL. 1.5g of (NH4)2SO4 was added to each sample. Then 20ml of 2.00M NH3OH was added to each sample. How do I calculate the moles of CaCO3 in limestone AND the mass of CaCO3 in limestone ?
Annual Returns Tech Firm Sample Finance Firm Sample 1 8.60% 1 10.10% 2 10.90% 2 8.80%...
Annual Returns Tech Firm Sample Finance Firm Sample 1 8.60% 1 10.10% 2 10.90% 2 8.80% 3 13.10% 3 10.10% 4 9.80% 4 12.20% 5 11.40% 5 10.40% 6 12.30% 6 7.30% 7 10.90% 7 8.60% 8 9.50% 8 12.10% 9 13.10% 9 10.90% 10 12.50% 10 9.50% 11 12.70% 11 11.10% 12 12.10% 12 10.80% 13 10.40% 14 12.50 Q8. Calculate the LCL and UCL for a 90% CI (α = 0.1) for the difference in mean returns between...
Annual Returns Tech Firm Sample Finance Firm Sample 1 8.60% 1 10.10% 2 10.90% 2 8.80%...
Annual Returns Tech Firm Sample Finance Firm Sample 1 8.60% 1 10.10% 2 10.90% 2 8.80% 3 13.10% 3 10.10% 4 9.80% 4 12.20% 5 11.40% 5 10.40% 6 12.30% 6 7.30% 7 10.90% 7 8.60% 8 9.50% 8 12.10% 9 13.10% 9 10.90% 10 12.50% 10 9.50% 11 12.70% 11 11.10% 12 12.10% 12 10.80% 13 10.40% 14 12.50 Q8. Calculate the LCL and UCL for a 90% CI (α = 0.1) for the difference in mean returns between...
(Questions 1 and 2) An experiment is conducted. The sample size is 30. A sample average...
(Questions 1 and 2) An experiment is conducted. The sample size is 30. A sample average is observed. To test the null hypothesis that the population average equals a particular value versus the alternative hypothesis that the population average is not equal to a particular value, a two tailed hypothesis test is performed. (Critical region in the two tails). The test statistic— the sample average—is normally distributed. The stated significance levels for the test are 5% and 1%. In other...
Consider the following data collected from four independent populations: Sample 1 Sample 2 Sample 3 Sample...
Consider the following data collected from four independent populations: Sample 1 Sample 2 Sample 3 Sample 4 3 14 21 8 8 9 15 3 6 13 16 13 5 14 a. Calculate the total sum of squares (SST). b. Partition the total sum of squares (SST) into its two components. c. Using a= 0.001, what conclusions can be made about the population means?
Consider the data in the table collected from three independent populations. Sample 1 Sample 2 Sample...
Consider the data in the table collected from three independent populations. Sample 1 Sample 2 Sample 3 4 3 4 ​a) Calculate the total sum of squares​ (SST) and partition the SST into its two​ components, the sum of squares between​ (SSB) and the sum of squares within​ (SSW). 2 2 2 9 1 1 5 ​b) Use these values to construct a​ one-way ANOVA table. ​c) Using alphaαequals=0.05​, what conclusions can be made concerning the population​ means?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT