One Sample T-test Two Sample T-test ANOVA Day Daily Revenue ($) Region A Region B Social media Search Engines Email Campaigns (Units (Units Sold) Sold) 1 1420 52 60 120 200 150 2 1500 48 63 130 210 160 3 1480 50 59 125 190 155 4 1550 53 61 140 220 165 5 1600 55 64 135 230 170 67 1490 54 62 128 215 158 1475 49 58 122 205 152 8 1525 51 65 130 195 160 9 1580 50 60 126 210 154 10 1450 56 62 138 225 168
The data provided in the following table pertains to three separate questions: One sample T-test, Two Sample T-Test, and ANOVA. The same data is also provided in Microsoft Excel file. Answer the questions provided in the table. Report your results by comparing the significance level to 5%. Additionally, state your conclusion clearly in terms of whether the null hypothesis is rejected or not rejected. Avoid using terms like "accepted" or "not accepted" in your conclusion.
Question 1: 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. (2 points = 0.25x4 parts)
Make null and alternative hypothesis for one sample T-test
Conduct One Sample T Test and provide a snapshot of results from excel. Null =
Alternative =
Conclusion: Since the p value is (choose one: less / greater) than 5%,
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