Suppose, you work with the Quality Assurance Team of a Biscuit Company, and a customer complains that the mean weight of the biscuit packet you are selling is less than 250 gm when you have claimed it to be of weight 250 gm in the packet. To test the customer's claim, you sampled 25 biscuit packets and measured their weights.

Letμ" style="box-sizing: inherit; max-width: 100%; height: auto;">bethe hypothesized mean weight of a biscuit packet that your company claims, and the null and alternative hypotheses have been formulated as:

H0:μ=250" style="box-sizing: inherit; max-width: 100%; height: auto;">

Ha:μ<250" style="box-sizing: inherit; max-width: 100%; height: auto;">

At a 5% level of significance (α" style="box-sizing: inherit; max-width: 100%; height: auto;">), what will be the conclusion from a one-sample t-test (assuming that all the assumptions of the test are satisfied) if youobtaina p-value of 0.023?

You do not have enough statistical evidence to say that the mean weight of the biscuit packet is less than 250 gm.

You have enough statistical evidence to say that the mean weight of the biscuit packet is greater than 250 gm.

You have enough statistical evidence to say that the mean weight of the biscuit packet is 250 gm.

You have enough statistical evidence to say that the mean weight of the biscuit packet is less than 250 gm