Exhibit 1 A T-Test was run at 90% Confidence level to determine if housing prices in Los Angeles are different than housing prices in Seattle . Below is the output for the T-Test.    Below are the hypothesis for this problem.  Ho: ∪ Los Angeles = ∪ Seattle  Ha: ∪ Los Angeles ≠ ∪ Seattle    t - Test Two - Sample Assuming Unequal Variances:                                      Los Angeles                                     Seattle Mean:                     205.2088                                      233.4268 Variance:              1212.009                                        2632.197 Observations:          34                                                     56 Hypothesized Mean Difference:  0  df: 87 t-Stat: -3.10386 P(T <=t) One - Tail: 0.001289 t Critical One - Tail: 2.369977 P(T <=t) Two - Tail: 0.002577 t Critical Two - Tail: 2.633527   Q 16a: Refer to exhibit 1. From the output, what is the P-Value that should be used to determine if Los Angeles prices are different than Seattle Prices? b = Refer to exhibit 1. From the output, what is the Critical Value that should be used to determine if Los Angeles prices are different than Seattle Prices? c = Refer to exhibit 1. From the output, what is the Test Statistic that should be used to determine if Los Angeles prices are different than Seattle Prices?  d = Refer to exhibit 1. Based on the output, The conclusion for this problem is:

Exhibit 1

A T-Test was run at 90% Confidence level to determine if housing prices in Los Angeles are different than housing prices in Seattle . Below is the output for the T-Test. 

Below are the hypothesis for this problem. 

Ho: ∪ Los Angeles = ∪ Seattle 

Ha: ∪ Los Angeles ≠ ∪ Seattle 

t - Test Two - Sample Assuming Unequal Variances:

                                 Los Angeles                                     Seattle

Mean:                     205.2088                                      233.4268

Variance:              1212.009                                        2632.197

Observations:          34                                                     56

Hypothesized Mean Difference:  0 

df: 87

t-Stat: -3.10386

P(T <=t) One - Tail: 0.001289

t Critical One - Tail: 2.369977

P(T <=t) Two - Tail: 0.002577

t Critical Two - Tail: 2.633527

Q 16a:

Refer to exhibit 1. From the output, what is the P-Value that should be used to determine if Los Angeles prices are different than Seattle Prices?

b = Refer to exhibit 1. From the output, what is the Critical Value that should be used to determine if Los Angeles prices are different than Seattle Prices?

c = Refer to exhibit 1. From the output, what is the Test Statistic that should be used to determine if Los Angeles prices are different than Seattle Prices? 

d = Refer to exhibit 1. Based on the output, The conclusion for this problem is: