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In a survey, 200 people were asked to identify their major source of news information; 110 stated that their major source was television news.
(a) Construct a 95% confidence interval estimate for the proportion of people in the population who consider television their major source of news information. ______________
(b) How large a sample would be necessary to estimate the population proportion with a margin of error of 0.05 at 95% confidence? ____________
Use the list of random digits below to assign 4 men and 2 women to the shark fin treatment. Read the table from left to right, first selecting the 4 men and then the 2 women. Use the numerical labels given in the chart to the names.
Such things as historical documents, newspaper reports, TV and radio broadcasts, when used in research, represents
Which sessions, morning or afternoon, had more stable or uniform attendance over three-day period? Describe by using the suitable calculation for each data set and compare two calculations .
Determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
What is the city mileage standard deviation for this SUV model?
Determine the distribution of X? Determine its parameters?
P-value to test hypotheses,
Report the t-value, whether you accept or reject Ho, and whether the difference was significant in a brief sentence.
I have fit a line to data representing cholesterol readings for 28 individuals starting a cholesterol reducing drug. The computer provides the following output, The degrees of freedom for the t test for the slope are
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho = 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
The student with the 92 found a grading error on her exam and her correct grade was 95. There were no other grading errors. After correcting this student's paper, the five number summary for the midterm exam will be
Find out the upper and lower bounds on average life expectancy of the Canadian women such that at least 90% of all population is included.
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