Question 4. [7 marks] [Chapter 6] (b) A statistics student was interested in investigating the average time it takes to get a pizza delivered to their house from the local pizzeria. Over a few weeks, a random sample of 10 delivery times (in minutes) was recorded. The data are displayed below: 20.3, 17.8, 23.1, 18.7, 24.7, 31.5, 22.3, 17.9, 20.3, 28.4 Summary Statistics: 2? = 22.50 minutes and s = 4.58. Calculate and interpret a 95% condence interval for the mean delivery time. Note: You must clearly show that you have followed the \"StepbyStep Guide to Producmg a Condence Interval by Han \" given in the Lecture Workbook, Chapter 6. Use the tprocedures tool to nd values for the tmultiplier and standard error. A friend of the statistics student pointed out to them that \"three of the ten pizza delivery times were below the lower value of the condence interval so the pizza company is doing extremely well as you'd expect happen for less than 5% of the deliveries.\" Explain what was wrong with this thinking. T499959!" Step-by-Step Guide to Producing a Confidence Interval by Hand . State the parameter to be estimated. (Symbol and words) IS it p. p. #1 - #2. or 91- 92? State the estimate and its value. Write down the formula for a CI, estimate 1 the(estimate), from the Formula Sheet Use the appropriate standard error. (Will be provided) Use the appropriate t-multiplier. (Will be provided) Calculate the confidence limits. (End points of the condence interval) Interpret the interval using plain English. Use the condence limits to construct an answer to the original question in plain English