Reference no: EM1319695
Q1) Cell phone service provider has 14,000 customers. Recently, sales department selected random sample of 400 customer accounts and recorded number of minutes of long distance time utilized in the previous billing period. Company analyst utilized Excel to sort these values in order from high to low. She then allotted the highest value a rank of 1, next highest value a rank of 2, and so forth. These ranks would be considered to be ordinal data.
Q2) Recently, major tire manufacturer stated in their advertising that their tires with new tire tread design will last more than 50,000 miles on average. Consumer agency gathered a subset of these tires and tested them in very controlled conditions. Based on this test, agency concluded that manufacturer was justified in making this claim. Process explained is an example of:
a) Descriptive statistics.
b) Hypothesis testing.
c) Statistical inference.
d) Both b and c are correct.
Q3) Open data file on your excel file AirlinePassengers. Point to the level of data (nominal, ordinal, ratio, or interval) measurement for each variable in data set. Notice tab for description gives information about data.
How cash and working capital will be affected for following
: Indicate how each of the following six different transactions that Dynamic Mattress might make would affect (i) cash and (ii) net working capital:
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Compute depreciation and cash flow
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Critical values associated with testing your hypothesis
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Compute tax depreciation
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Measurement for each variable in data set
: Open data file on your excel file AirlinePassengers . Point to the level of data (nominal, ordinal, ratio, or interval) measurement for each variable in data set. Notice tab for description gives information about data.
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Assumption that readership is uniformly distributed
: Perform the chi-square test for a uniform distribution. At α = . 01, does this sample contradict the assumption that readership is uniformly distributed?
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Compute accounting bad debts
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Probability related to parking cars
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Compute interest expenses from given data
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