Question

In: Statistics and Probability

3. Create the printout for testing whether the mean closing price of all NYSE stocks differs...

3. Create the printout for testing whether the mean closing price of all NYSE stocks differs from the mean closing price of all NASDAQ stocks and attach it here. Answer the following questions regarding this printout:

Student Edition of Statistix 10.0                          4/21/2020, 5:32:15 AM

Two-Sample T Tests for Close by Exchange

Exchange           N         Mean       SD        SE

0          40         51.664   73.709   11.654

1          25         19.368   18.703   3.7406

Difference                    32.296   59.131   15.076

T-Tests for Mean Difference

Null Hypothesis: difference = 0

Alternative Hyp: difference ≠ 0

                                                                  Lower    Upper

Method Variances           DF         T            P      95% C.I. 95% C.I.

Pooled   Equal    63       2.14      0.0360   2.1702 62.423

Satterthwaite      Unequal 46.6      2.64      0.0113   7.6679 56.925

Homogeneity of Variances    DF         F            P

Folded F Test     39,24    15.53    0.0000

Cases Included 65    Missing Cases 0

Cases Included 65    Missing Cases 0

  1. State the assumptions necessary for this printout to be valid. (You don’t need to state that the samples were randomly and independently selected. We know that they were from part 1 of the project!)

b.   Use the confidence interval to make a statement regarding the relationship between the population means. Make sure to include your confidence level in your statement

Solutions

Expert Solution

Dear your satisfaction is more important, I provided answers with detailed explanation. If you are satisfied with my explanations please THUMBS UP.. Thanks inadvance for your support dear....

ANSWERS

a)

Assumptions:

  • Both Populations of closing price of all NYSE stocks and closing price of all NASDAQ stocks follows Normal distribution
  • Both Populations have equal variance

Note: Normality is a must assumption. Equal variance assumption is a must for t test , if it fails we can conduct a Welch-Satterthwaite T-Test.

Here equal variance assumption failed since Folded F Test p value is 0. So we must use Welch-Satterthwaite T-Test for inference about Population means

b)

From the given Satterthwaite test we have 95 % confidence Interval for Population mean difference is (7.6679 , 56.925).

Statement : At 95% confidence level we say that Population mean closing price of all NYSE stocks differs from the Population mean closing price of all NASDAQ stocks

Reason for this statement is that our confidence interval doesn't cover zero. If zero covers , then we just reverse the statement


Related Solutions

Create the printout for testing whether the mean low stock price of all NYSE stocks differs...
Create the printout for testing whether the mean low stock price of all NYSE stocks differs from $35 and attach it here. Answer the following questions regarding this printout: One-Sample T Test Null Hypothesis: μ = 35 Alternative Hyp: μ ≠ 35                                                                                                                              Lower                    Upper Variable                                 Mean       SE          T          DF                P        95% C.I.                 95% C.I. Low                                        92.075   48.666 1.17        39           0.2480 -6.3611               190.51 Cases...
Create the printout for testing whether the mean low stock price of all NYSE stocks differs...
Create the printout for testing whether the mean low stock price of all NYSE stocks differs from $35 and attach it here. Answer the following questions regarding this printout: Student Edition of Statistix 10.0                          4/21/2020, 5:29:39 AM One-Sample T Test Null Hypothesis: μ = 35 Alternative Hyp: μ ≠ 35                                                                                Lower    Upper Variable Mean       SE         T       DF             P      95% C.I. 95% C.I. Low      28.369   5.2626   -1.26     64         0.2123   17.856...
NT1 Price/earnings ratios have been obtained for a random sample of 10 NYSE stocks selected on...
NT1 Price/earnings ratios have been obtained for a random sample of 10 NYSE stocks selected on a particular day. The mean ratio is 32.3. Assume that σ = 10 and that price/earnings ratios for NYSE stocks are normally distributed. Construct an 80% confidence interval for the true mean price/earnings ratio for all NYSE stocks.
I am interested in testing whether total prey consumption by sea otters differs in cold water...
I am interested in testing whether total prey consumption by sea otters differs in cold water temperatures relative to some hypothesized value. From some pilot data, I have been able to estimate the variance at 6.4. I would like to be able to detect a difference of about 2 grams of prey eaten per unit time. Assuming I set my type I error rate at 0.05, what kind of sample size do I need to achieve a power of 90%?...
Create a 3-5 page paper about a current business listed on the NYSE and its Economic...
Create a 3-5 page paper about a current business listed on the NYSE and its Economic journey utilizing the economic principles studied in this class. Any ideas on how to start it?
Create a line chart for the closing prices for all years, and a stock chart for...
Create a line chart for the closing prices for all years, and a stock chart for the high/low/close prices for August 2013 in the Excel file S&P 500. (Show all steps in excel)
The table below shows the daily mean closing market price in Dec 2013 for three stocks and their standard deviations. Which stock is more variable?
The table below shows the daily mean closing market price in Dec 2013 for three stocks and their standard deviations. Which stock is more variable?Oct 2013Nov 2013Dec 2013Jan 2014$76,889$74,991$74,002$72,290Mean daily closing values for Dec 2013Standard deviationABC LMN XYZ 134.4 98.6 179.52.6 3.7 3.7(A) ABC(B) LMN(C) XYZ(D) LMN and XYZ are equally variable(E) Cannot be determined from the information given
Stocks: 50% of portfolio - Advanced Micro Devices, Inc. (AMD) starting price: 30.9$ Closing price: 29.94$...
Stocks: 50% of portfolio - Advanced Micro Devices, Inc. (AMD) starting price: 30.9$ Closing price: 29.94$ 50% of portfolio - Canopy Growth Corp (CGC) Starting price: 24.21$ Closing price: 27.31$ Report the overall realized return on your investment portfolio. Don’t confuse expected and realized returns. This is expected return: E[Rp]=w1*R1+w2*R2+w3*R3+w4*R4 wi=weight of stock ‘’i’’ in your portfolio This is realized one: Ri=realized return of asset ‘’i’’= (Price @ end – Price @ beginning)/Price @ beginning OR more formally: R=(P[t+1]-P[t])/P[t] Example:...
Stocks: 50% of portfolio - Advanced Micro Devices, Inc. (AMD) starting price: 30.9$ Closing price: 29.94$...
Stocks: 50% of portfolio - Advanced Micro Devices, Inc. (AMD) starting price: 30.9$ Closing price: 29.94$ 50% of portfolio - Canopy Growth Corp (CGC) Starting price: 24.21$ Closing price: 27.31$ Report the variance-covariance matrix Option 1: Take estimates from the other web pages You can take estimates of volatilities of individual stocks from Reuters, Bloomberg, Yahoo finance or other sources. If you are not quite sure how to estimate covariances between stocks: You can take estimates of Reuters, Bloomberg or...
Use PROC GLM in SAS to test whether the mean number of insect deaths differs across...
Use PROC GLM in SAS to test whether the mean number of insect deaths differs across insectide types. Use alpha= 0.05, and justify your answer by referring to either a test statistic value and table value, or by referring to a P-value. data insectdeaths; input INSECTICIDE $ DEAD; cards; A 85 B 90 C 93 D 98 A 82 B 92 C 94 D 98 A 83 B 90 C 96 D 100 A 88 B 91 C 95 D...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT