A researcher conducts a repeated-measures study to evaluate a treatment with a sample of n = 16 participants and obtains a t statistic of t = 1.94. The treatment is expected to increase scores and the sample mean shows an increase. What is the correct decision for a hypothesis test using α = .05?​

Respuesta :

Answer with explanation:

Given : Sample size : n= 16

Degree of freedom = n-1=15

The obtained t-statistic value = 1.94

Since, The treatment is expected to increase scores and the sample mean shows an increase.

Let [tex]\mu_0[/tex] be the population mean before and [tex]\mu[/tex] denotes the population mean after the treatment.

then the related hypothesis will be :-

[tex]\text{Null hypothesis }H_0:\mu_0=\mu\\\\\text{Alternative hypothesis } H_1:\mu_0<\mu[/tex]

Since the alternative hypothesis is left-tailed, so the test is a left tailed test.

The critical value for [tex]\alpha=0.05[/tex]=1.753

Since, the obtained value (1.94) is greater than the critical value (1.753) so we reject the null hypothesis  .

Therefore, we have enough evidence to support the alternative hypothesis.

Hence, we conclude that treatment may successful to increase scores and the sample mean shows an increase.