(Part 2) A florist claims that the number of people buying flowers on a Thursday is...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) | Monday Tuesday Wednesday Thursday Friday Count 51 68 55...
Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by Day (n = 289) Monday Tuesday Wednesday Thursday Friday Count 43 48 57 75 ...
2. An obstetrician wanted to determine whether the mean number of births was the same for each of the five days of the week. She randomly selected eight days for each of the five weekdays and recorded the number of births on that day in the data table below. Refer to the ANOVA results from Excel. Monday Tuesday Wednesday Thursday Friday 10023 10265 10283 10456 10691 11189 11198 11465 11045 11621 11753 11944 12509 12577 12927 13521 11346 11084 11593...
Can someone please show me how to do these type problems using Excell? Please? Customer Distribution by Weekday: A drop-in auto repair shop staffs the same number of mechanics on every weekday (weekends are not counted here). One of the mechanics thinks this is a bad idea because he suspects the number of customers is not evenly distributed across these days. For a sample of 289 customers, the counts by weekday are given in the table. Number of Customers by...
Does it seem to you that people tend to be absent more on some days of the week than on others? Recently, a major biotechnology firm collected data with the hope of determining whether or not its employees were more likely to be absent (due to personal reasons or illness) on some weekdays than on others. The firm examined a random sample of 150 employee absences. The distribution of these 150 absences is shown in Table 1 below. The observed...
Consider the following discrete probability distribution along with observed frequencies for each day of the week. Complete parts a and b below. Weekday Monday Tuesday Wednesday Thursday Friday Total Probability 0.10 0.20 0.05 0.30 0.35 1.00 Observed Frequency, f Subscript o 12 26 9 39 44 130 a. Perform a chi-square test using alphaequals0.05 to determine if the observed frequencies follow a discrete probability distribution. Determine the null and alternative hypotheses. Choose the correct answer below. A. Upper H 0:...
PLEASE ANSWER ALL PARTS The mean number of English courses taken in a two-year time period by male and female college students is believed to be about the same. An experiment is conducted and data are collected from 29 males and 16 females. The males took an average of four English courses with a standard deviation of 0.8. The females took an average of five English courses with a standard deviation of 1.1. Are the means statistically the same? (Use...
Section 12.3 Multiple Linear Regression: Number ONE: Statistical software was used to fit the model E(y)Pox1 2x2 to n 20 data points. Complete parts a through h EEB Click the icon to see the software output. Data Table The regression equation is Y-1738.93 - 384.54x1 517.39x2 Predictor Constant X1 X2 Coef 1738.93 - 384.54 -517.39 SE Coef 369.06 101.65 - 3.78 0.002 353.04 - 1.47 0.162 4.71 0.000 s-172.003 R-sq-55.0% R-sq(adj):49.0% Analysis of Variance MS Source Regression Residual Error 17...
What can predict how much a motion picture will make? Data on a number of recent releases that includes the Gross ($M), the Budget ($M), the Run Time (minutes), and the average number of Stars awarded by reviewers was collected and a regression model was created to predict Gross. Use the computer output given below to complete parts a through d. c) What null hypothesis can you test with it? A. Upper H 0H0: beta Subscript BudgetβBudgetequals=beta Subscript Run TimeβRun...
Select the BEST answer for each of the questions below (I true, F- false). Cirele the letter that corresponds with the answer you have selected. Each question is worth 2 points. [Total 40 points) Answer uestion E1. Power is the ability to reject the null hypothesis when it should be rejected 2. With curvilinear data, the Pearson r statistic is an appropriate, accurate statistical tool In a research report, the term statistically significant is used to indicate that the null...