Assume that the distribution of daily sales for your company is known to be normally distributed, with a mean of $25,000 and a standard deviation of $3,000. Answer the following questions:

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Assume that the distribution of daily sales for your company is known to be normally
distributed, with a mean of $25,000 and a standard deviation of $3,000.
Answer the following questions:
Between what two values would you expect 95% of the days’ sales to fall?
What percentage of days’ sales would be expected to fall between $16,000 and $34,000?
What percentage of days’ sales would be expected to be more than $34,000?
If you took a sample of 75 days from the previous year and found that 50 of those days had sales that ranged from $22,000 to $28,000, would that be indicative of a potential problem with the data? Or would that be in line with your expectations? Explain your rationale for your answer.
In addition, you should create a “cheat sheet” for selecting an appropriate statistical test.
Your “cheat sheet” should include information on when you would use the following tests:
Single sample t test
Independent samples t test
Paired samples t test
One-way ANOVA
Factorial ANOVA
ANCOVA
Chi-Square Goodness of Fit
Chi-Square Test of Independence
Pearson Correlation Coefficient
Simple Linear Regression
Multiple Linear Regression
Be sure to specify what each test can be used for (i.e., differences between groups, relationship between variables, prediction, etc.) the type of variables that can be used in each test (i.e., quantitative vs. categorical) and any assumptions that must be satisfied (i.e., normality)

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