You will want to calculate the average for your data set. (Be sure you use the numbers without the supercar outlier) Once you have the average count how many of your data points fall below the average. You will take that number and divide it by 10. This will be your p or "success" in your problem. Once you have p, calculate q.

If you were to find another random sample of 10 cars based on the same data, what is the probability that exactly 4of them will fall below the average? Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that fewer than 5of them will fall below the average?Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that more than 6of them will fall below the average?Make sure you interpret your results.

If you were to find another random sample of 10 cars based on the same data, what is the probability that at least 4of them will fall below the average?Make sure you interpret your results.

Vehcle	Year	Make	Model	Sub Model	Price	MPG/City	MPG/Hwy	Drive type	HP	TORQUE	Weight
Truck	2022	RAM	1500	TRX	91000	9	12	F4WD	702	650	6,439 lbs
Truck	2023	Ford	F150	Raptor R	96000	12	17	4WD	700	645	6,050 lbs
CAR	2023	Chevrolet	Corvette	3LT	76000	15	27	RWD	670	460	3,366 lbs
CAR	2022	Honda	Civic	Type R	37950	22	28	FWD	306	295	3,121 lbs
CAR	2022	Toyota	Supra	GR	55650	21	31	RWD	340	500	2,868 lbs
SUV	2022	Ford	Bronco	Raptor	68500	15	16	4WD	418	440	5,733 lbs
SUV	2022	LandrRov	RangRov	Sport	183100	14	19	AWD	575	516	5,448 lbs
SUV	2022	Jeep	Grand	Wagoneer	109435	13	18	RWD	392	404	6,420 lbs
CAR	2022	Dodge	SRT	Hellcat	89190	12	21	RWD	797	707	5,450 lbs
CAR	2022	Nissan	GTR	Nismo	220000	16	22	AWD	600	481	3,865 lbs
				Mean:	102683
				Meadian:	90095
				SD:	56688.1
				Sample Size	10