Repeat the chi-squared analysis on the previous page with the following mileage data from some different vehicles.
	(These are minivans!)
	Raw Data
	38,648	40,882	51,500	12,186	34,769	21,579	43,092	33,663	34,632
	48,710	37,739	37,930	45,066	53,880	32,754	32,071	58,455	39,114
	48,276	41,612	54,888	30,493	26,573	46,791	38,157	39,721	34,576
	34,124	35,448	31,203	36,442	23,495	50,658	29,765	33,483	30,680
	37,997	52,550	38,935	23,402	9,176	31,564	39,629	27,555	41,995
	28,802	40,012	32,938	34,911	19,045	45,520	26,347	27,615	32,594
	50,140	32,713	41,586	36,652	29,432	55,869	36,241	45,119	31,229
	What is the mean of this data set?
	What is the standard deviation of this data set?
	Group the data into the intervals shown below.
		Interval Start	Interval End
		-	10,000
		10,000	20,000
		20,000	30,000
		30,000	40,000
		40,000	50,000
		50,000	60,000
		60,000	70,000
		70,000	80,000
		80,000	99,999
	What is the observed frequency for a given interval?
	What is the expected frequency for a given interval? (Use Excel's calculations here, not manual ones from Z tables.)
	What is the chi-squared statistic as calculated by Excel?
	Based upon the chi-squared statistic, would you believe this follows a normal distribution or not?