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Before the rush began for Christmas shopping, a department store had noted that the percentage of its customers who use the store's credit card, the percentage of those who use a major credit card, and the percentage of those who pay cash are the same. During the Christmas rush in a sample of 150 shoppers, 46 used the store's credit card; 43 used a major credit card; and 61 paid cash.
Test to see if the methods of payment have changed during the Christmas rush at the 0.05 level of significance (perform all six steps of hypothesis testing, including p-values).
Find the mean ______________ and the standard deviation _____________
Find the lowest possible score a candidate can score and still qualify. Assume the scores are normally distributed.
Enter relative proportions of the 3 samples in order (20,50,30) in "Expected values" area.
If the same sample results had been obtained from a random sample of 16 students, could the students' claim be accepted at a lower level of significance?
A population of 1000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 students is taken.
Choose one time-series describing Airlines and make a line chart. Describe the trend (if any) and discuss possible causes. Fit both a linear and an exponential trend to the data.
Find the maximum and minimum prices of the houses a contractor will build to include the middle 65% of the market.
The demand for airplane passengers (Y) is a function of a average fare (X1), the fare of the competing airline, and the annual per capital income of the passengers(X3)
The significance level of a statistical test is equal to the probability that the null hypothesis is true.
Discussion should include a critical reflection on the way in which you completed the market challenge element of the module.
Calculate the difference in the average "clutter" between network and TV.
Determine the conditions under which you would use a discrete probability distribution rather than a continuous probability distribution. Provide one (1) example to illustrate your reasoning.
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