Brad recorded the number of visitors at the local science museum during the week.
$$ \begin{array}{|l|l|} \hline \text { Day } & \text { Visitors } \\ \hline \text { Tuesday } & 18 \\ \hline \text { Wednesday } & 24 \\ \hline \text { Thursday } & 28 \\ \hline \text { Friday } & 30 \\ \hline \end{array} $$
He expected to see 25 visitors each day. To answer whether the number of visitors follows a uniform distribution, a chi-square test for goodness of fit should be performed. (alpha = 0.10)
\(x^{2}=\sum \frac{(O-E)^{2}}{E}\)
What is the chi-squared test statistic? Answers are rounded to the nearest hundredth.
Brad recorded the number of visitors at the local science museum during the week. $$ \begin{array}{|l|l|}...
Carl recorded the number of customers who visited his new store during the week:DayCustomersMonday17Tuesday13Wednesday14Thursday16He expected to have 15 customers each day. To answer whether the number of customers follows a uniform distribution, a chi-square test for goodness of fit should be performed. (alpha = 0.10)What is the chi-squared test statistic? Answers are rounded to the nearest hundredth.
Robert recorded the number of calls he made at work during the week: Day Calls Monday 20 Tuesday 12 Wednesday 10 Thursday 18 He expected to make 15 calls each day. To determine whether the number of calls follows a uniform distribution, a chi-square test for goodness of fit should be performed (alpha = 0.05). Using the data above, what is the chi-square test statistic? Answer choices are rounded to the hundredths place. a.) 0.67 b.) 0.42 c.) 4.54 d.)...
____ 16. State your conclusion to the hypothesis test. A local retailer currently schedules employees based on the assumption that they serve customers uniformly throughout the week (the same number each day). Management is starting to question this assumption and decides to collect data on the number of customers served each day of the week to perform a Chi-Square goodness-of-fit test at a 5% significance level. Monday Tuesday Wednesday Thursday Friday Total Number Served 40 33 35 32 60 200...
A local franchise of a national chain of day-old pastry stores recorded the number of customers that came in to the store for five weeks this fall. These data are recorded in the attached file. The national franchisor states that the percentage of customers is distributed as follows: Sunday – 20%, Monday – 8%, Tuesday – 6%, Wednesday – 7%, Thursday – 12%, Friday – 22%, and Saturday – 25%. The manager doesn’t trust the franchisor and wants to show...
A local franchise of a national chain of day-old pastry stores recorded the number of customers that came in to the store for five weeks this fall. The national franchisor states that the percentage of customers is distributed as follows: Sunday – 20%, Monday – 8%, Tuesday – 6%, Wednesday – 7%, Thursday – 12%, Friday – 22%, Saturday – 25%. The manager doesn’t trust the franchisor and wants to show his store has different percentages. Use a χ² Goodness-of-Fit...