00:01
For each of the following situations to find the parameter, proportion, or mean, and write the null and alternative hypothesis in terms of a parameter value.
00:11
So, a, a casino wants to know if their slot machine really delivers the 5 -100 win rate that it claims.
00:21
So the proportion p of wins, the null hypothesis would be that 5 -100 would be that 5 -100 would be, 5 and 5 % well if it's actually 5 in 100 then the null hypothesis would be that p is 5 in 100 or 0 .05 and the alternative hypothesis would be that it's not be last year customers spent an average of $36 .95 per visit to the company's website based on a random sample of purchases this year the wants to know if the mean this year has changed.
01:21
And so if you could let, by the way, we should define, like in this first one, that p is the probability of winning on the slot machine.
01:44
And in this case in part b, we can say, let's let mew the population mean be the mean spending per customer as a population parameter.
02:01
Okay, so if we, we can say our null hypothesis, is that the mean is 36 .95, and that our alternate hypothesis is that it's not...