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To test whether there is any association between two variables using Chi-Square test for independence.
Can people really identify their favorite brand of cola? Volunteers tasted Coca-Cola Classic, Pepsi, Diet Coke, and Diet Pepsi, with the results shown below. Research question: At α = .05, is the correctness of the prediction different for the two types of cola drinkers? Could you identify your favorite brand in this kind of test? Since it is a 2 × 2 table, try also a two-tailed two-sample z test for π1 = π2 (see Chapter 10) and verify that z2 is the same as your chi-square statistic. Which test do you prefer? Why?
Correct?
Regular Cola
Diet Cola
Row Total
Yes, got it right
7
14
No, got it wrong
12
20
32
Col Total
19
27
46
Assume 1.5% of antennas on new Nokia cell phones are imperfect. For random sample of 200 antennas, determine the probability that: None of the antennas is defective.
Carry out the global test of hypothesis to find out whether any of the regression coefficients are not equal to 0. Use.05 level of significance.
Compute and interpret each of the statistics in parts(a) through (f) Mean and Median.
How much time should the employer allow employees to finish the job? (Round up to the nearest minute).
Determine a 95% confidence interval for the population mean.
A savings account was opened for a baby on 1985 with a $100 deposit. No withdrawals or deposits occurred since the account was opened. The current balance of the account is $246.47. Measured in dollars of the year in which the account was opened, how..
Find the probability of getting a head and rolling a six
The hypothesis that the samples came from identical populations cannot be rejected, the T value is 16.5 greater that the lower limit.
If we were to ask three people at arbitrary, determine the probability that they will all prefer punk rock?
Compute mean x and standard deviation s of data above. Calculate Ho by using traditional/classical method.
Formulate the null and alternative hypotheses for this application.
Compute a 3-month moving average forecast of demand for April through January (of the next year).
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