Question
In: Statistics and Probability
In a study of store checkout scanners, a sample of 1234 items were checked and 20...
In a study of store checkout scanners, a sample of 1234 items were checked and 20 of them were overcharges. It had been claimed by the manufacturers that only 2% of the sales would be overcharges. Based on these results, at the 1% level of significance, do the scanners appear to overcharge less often than the 2%?
(1) List all the information necessary for conducting the hypothesis test and state which
test you are doing.
(2) State the null and alternative hypotheses and whether you would use a right-tailed
test, a left-tailed test, or a two-tailed test.
(3) Sketch the critical reason, indicating on the sketch what the critical value(s) are.
(4) Determine the calculated z or t.
(6) Decide if you will Reject or Fail to Reject the Null Hypothesis.
(7) Interpret your conclusion in terms of the problem.
Solutions
Expert Solution
The detailed working out of the hypothesis test is given below
conclusion : There is no sufficient evidence to support the claim that the scanners appear to overcharge less often than the 2%
orchestra answered 1 year agoRelated Solutions
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please explain step by step clearly with eligible
writing
1. A sample of 20 items provides a sample standard deviation of 5. a. Compute the...
1. A sample of 20 items provides a sample standard deviation of
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(2pts)
b. Compute the 95% confidence interval estimate of the
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You think this sounds like she is describing an interaction
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A store manager believes items with discounts (10% off, 20% off, etc.) sell better than items...
A store manager believes items with discounts (10% off, 20% off,
etc.) sell better than items offered at full price. She also
believes items with well-known brand names sell better than items
not associated with a well-known brand. Furthermore, she believes
that when the prices of brand-name items are discounted sales are
much higher than normal.
You think this sounds like she is describing an interaction
between brand-named and discounts and you want to use regression to
test the effects...
A store manager believes items with discounts (10% off, 20% off, etc.) sell better than items...
A store manager believes items with discounts (10% off, 20% off,
etc.) sell better than items offered at full price. She also
believes items with well-known brand names sell better than items
not associated with a well-known brand. Furthermore, she believes
that when the prices of brand-name items are discounted sales are
much higher than normal.
You think this sounds like she is describing an interaction
between brand-named and discounts and you want to use regression to
test the effects...
A sample of 20 items provides a sample standard deviation of 5. Compute the 95% confidence...
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