A marketing research study is asking consumer preference of Brand X vs. Brand Y. Historically, the preference levels between both brand have been close to 50-50. If the researcher wants to have a confidence level of +/- 3% at the 95% confidence interval and not spend incremental $ for extra sample, what is approximate sample size needed (use the closest number)?  Some formulas that may be of assistance  

A third variable, buyer’s sex, was introduced into the analysis. This was chosen based upon past research. The relationship between purchase of fashion clothing and marital status was reexamined in light of the third variable as shown below:     Males Females Purchase of Fashion Clothing Married Unmarried Married Unmarried High (more than 1 item per month) 35% (140) 40% (48) 25% (75) 60%  (108) ABC Low (less than 1 item per month) 65% (260) 60% (72) 75% (225) D 40% (72) Number of respondents 100% (400) 100% (120) 100% (300) 100% (180) Column A B C D Letters indicate significance at .05   You can conclude the following about purchasers of fashion clothing based upon this new data EXCEPT for: 

Given the following code, select all of the statements that are TRUE: import requests # line 1url = “https://isitsummeryet.com/answer.txt” # line 2r = requests.get(url) # line 3assert r.status_code == 200 # line 4

Assume you have the following code: path = ‘debuggingtips.txt’ str1 = ‘write only as much code as you can test.\n’ Assume the file object is named f Write code that uses a with statement to open a file for writing and writes str1 and str2 to the file.  Your code: with ________________________ : # blank1 to open file         _____________________           # blank2 to write str1 to the file  ________________ # blank3 (either write ‘pass’ or write the command to close the file object f   [blank1] [blank2] [blank3]

Assume we have a text file that contains words.  Fill in the blank so that data contains only the first line of the file. Use next in your answer.   path = “my_text.txt”f_obj = open(path)data = [blank1]

What type of blood cell is indicated by the pointer under the microscope? 

Question 10 A restaurant tracks the proportion of customers who order dessert after their meal. Out of the last 1,200 customers, 360 ordered dessert. Which of the following values of p, the long-run proportion of customers ordering dessert, are included in a 95% confidence interval? I. p = 0.25 II. p = 0.3 III. p = 0.34

Question 5 A company manufactures light bulbs that have a lifespan that is normally distributed with a mean (μ) of 1200 hours and a standard deviation (σ) of 75 hours. How long would a randomly selected lightbulb need to last (in hours) in order to reach the 60th percentile for lifespans?

¿Qué quiere Lucho Camacho que haga Pía Lagos y por qué?

¿En qué mes son las elecciones?