Chapter 6 Project Sally is a shift manager at the Generic Jeans store.Sally earns $9.85 per hour. Overtime pays time-and-a-half, and is paid for anything over 40 hours per week. As an incentive to provide good customer service, she is also paid 10% commission, with a $1000 weekly quota on her personal sales.Because she is a shift manager, she also receives an override commission of 1% (no quota).Here is Sally’s hours, sales and returns for one week. M T W Th F S S Hours 7.5 7.75 8 9.25 0 10 0 Sally’s Sales $520 $630 $416 $728 $0 $1539 $0 Sally’s Returns $23 $40 $51 Dept Sales $1921 $2301 $1799 $2007 $2619 $4391 $3204 Dept Returns $187 $67 $120 $78 $105 $210 $112 Sally would like to know what percentage of her paycheck will be deducted for taxes.Your task it to calculate this percentage, by finding each of the following. You will need Sally’s W-4 (for number of allowances and marital status) and the State and Federal Income Tax Withholdings tables, which are provided. Regular Hourly WagesOvertime Hourly WagesCommission WagesTotal Gross EarningsFICA deduction (Assume 6.2%)Medicare deduction (Assume 1.45%)Federal Income Tax Withholding (using the percentage method)State Income Tax Withholding (using the percentage method)State disability insurance (Assume 1%)Net PayWhat percent of her gross earnings were deducted from her pay check? Your project must: be typed.be well organized.contain all calculations.include explanations of your calculations, where your numbers come from, etc. Use complete sentences and include punctuation. For example: “In order to compute Sally’s regular hourly wages, I first totaled the number of hours she worked all together. 7.5 + 7.75 + 8 + 9.25 + 10 = 42.5 hours The next step is to find the number of hours she worked of overtime.So, I ….”Forms needed have been uploaded below

ContextA group of 75 college students from a liberal arts college were randomly sampled and asked about the number of alcoholic drinks they have in a typical week. The file containing the data is linked below. The purpose of this study (Links to an external site.) was to compare the drinking habits of the students at the college to the drinking habits of college students in general. In particular, the dean of students, who initiated this study, would like to check whether the mean number of alcoholic drinks that students at his college have in a typical week differs from the mean of U.S. college students in general, which is estimated to be 4.73.VariablesThe number of alcoholic beverages a student consumes in a week.Data: Hypothesis test results: Variable Sample Mean Std. Err. DF T-Stat P-value number of drinks per week 3.9333333 0.43592434 74 -1.8275343 0.0717PromptThe drinks datafile is available in the Data section below.Let μ be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses. Here is a histogram of the data. Can we safely use the t-test with this data? Explain. Perform the t-test using StatCrunch. (directions)Copy and paste the information from the StatCrunch output window into your initial post.Based on the P-value, state your conclusions in context. Use a 5% level of significance. NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test. Std. Err (standard error)T-stat (T-score)P-valueEXAMPLE TO ANSWER 1. The hypotheses are:Ho: μ = 4.73Ha: μ ≠ 4.732. Although the histogram is skewed to the right, we can still do a t-test because n=75 which is more than 30.3.One sample T hypothesis test:μ : Mean of variableH0 : μ = 4.73HA : μ ≠ 4.73Hypothesis test results: Variable Sample Mean Std. Err. DF T-Stat P-value number of drinks per week 3.9333333 0.43592434 74 -1.8275343 0.0717 4. 2(0.0717)= 1.4341.434>0.05We do not have enough evidence to reject the null hypothesis that the average amount of alcoholic beverages that students at this college drink is the same as the national average.5. a) Std. Err. is the standard error, which is an estimate of how far from the actual mean a sample mean is likely to be.b) T-stat is T-score, which is used in a t-test to find evidence/lack of evidence of a significant difference between population means.c) The P-value measures the likelihood of getting results as extreme as the sample in a population where the null hypothesis is true.