ELEMENTARY STATISTICS USING EXCEL
7th Edition
ISBN: 9780136921721
Author: Triola
Publisher: RENT PEARS
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Question
Chapter 9.4, Problem 17BB
a.
To determine
To find: The absolute deviation
b.
To determine
To find: The value of
c.
To determine
To find: The critical value if
d.
To determine
To describe: The conclusion about the hypothesis test.
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A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers in excel
Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800?
Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve)
Provide answers in the yellow cells
Find the critical value for a left-tailed test using the F distribution with a 0.025, degrees of freedom in the numerator=12, and degrees of freedom in the
denominator = 50. A portion of the table of critical values of the F-distribution is provided.
Click the icon to view the partial table of critical values of the F-distribution.
What is the critical value?
(Round to two decimal places as needed.)
A retail store manager claims that the average daily sales of the store are $1,500.
You aim to test whether the actual average daily sales differ significantly from this claimed value.
You can provide your answer by inserting a text box and the answer must include:
Null hypothesis,
Alternative hypothesis,
Show answer (output table/summary table), and
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Showing the calculation is a must. If calculation is missing,so please provide a step by step on the answers
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Chapter 9 Solutions
ELEMENTARY STATISTICS USING EXCEL
Ch. 9.1 - 1. Verifying Requirements In the largest clinical...Ch. 9.1 - Prob. 2BSCCh. 9.1 - Prob. 3BSCCh. 9.1 - Prob. 4BSCCh. 9.1 - Prob. 5BSCCh. 9.1 - Prob. 6BSCCh. 9.1 - Prob. 11BSCCh. 9.1 - Prob. 12BSCCh. 9.1 - Prob. 13BSCCh. 9.1 - Prob. 16BSC
Ch. 9.1 - Prob. 21BSCCh. 9.1 - Prob. 22BSCCh. 9.1 - 23. Determining Sample Size The sample size needed...Ch. 9.1 - Prob. 24BBCh. 9.1 - Prob. 25BBCh. 9.1 - Prob. 26BBCh. 9.2 - Prob. 3BSCCh. 9.2 - In Exercises 5 − 20, assume that the two samples...Ch. 9.2 - Prob. 10BSCCh. 9.2 - Prob. 11BSCCh. 9.2 - Prob. 12BSCCh. 9.2 - Prob. 14BSCCh. 9.2 - Prob. 15BSCCh. 9.2 - In Exercises 5 − 20, assume that the two samples...Ch. 9.2 - Prob. 20BSCCh. 9.2 - Prob. 25BBCh. 9.2 - Prob. 26BBCh. 9.2 - Prob. 27BBCh. 9.3 - Prob. 15BSCCh. 9.4 - Prob. 1BSCCh. 9.4 - Prob. 4BSCCh. 9.4 - Prob. 7BSCCh. 9.4 - Prob. 8BSCCh. 9.4 - Prob. 9BSCCh. 9.4 - Prob. 10BSCCh. 9.4 - Prob. 16BSCCh. 9.4 - Prob. 17BBCh. 9.4 - Prob. 18BBCh. 9.4 - Prob. 19BBCh. 9 - Prob. 1RECh. 9 - Prob. 2RE
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- A marketing agency wants to determine whether different advertising platforms generate significantly different levels of customer engagement. The agency measures the average number of daily clicks on ads for three platforms: Social Media, Search Engines, and Email Campaigns. The agency collects data on daily clicks for each platform over a 10-day period and wants to test whether there is a statistically significant difference in the mean number of daily clicks among these platforms. Conduct ANOVA test. You can provide your answer by inserting a text box and the answer must include: also please provide a step by on getting the answers in excel Null hypothesis, Alternative hypothesis, Show answer (output table/summary table), and Conclusion based on the P value.arrow_forwardA company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $4500 and a standard deviation of $450. The company defines a "high-sales day" that is, any day with sales exceeding $4800. please provide a step by step on how to get the answers Q: What percentage of days can the company expect to have "high-sales days" or sales greater than $4800? Q: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) Provide answers in the yellow cellsarrow_forwardBusiness Discussarrow_forward
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