. An independent-measures research study was used to compare two treatment conditions with n=12 participants for each treatment. The first treatment condition had M=55 with a variance of s2=8, and the second treatment condition had M= 52 and s2=4. Look up the appropriate critical value based on your computed degrees of freedom. Do these data indicate a significant difference between the two treatments

Decision rule  is  

Fail to reject the null hypothesis

 The conclusion is  

There is sufficient evidence that indicate that there is a significant difference between the two treatments

Step-by-step explanation:

From the question we are told that  

    The sample size is  n =  12

    The first  mean is  

    The variance is  

    The second mean is  

     The second variance is

Let the level of significance be  

The null hypothesis is  

The alternative hypothesis is

  Generally the test statistics is mathematically

=>  

=>  

Generally the degree of freedom is mathematically represented as

=>    

Generally  from the t- distriibution table the critical  value  of   at a degree of freedom of  is

Here given that the critical value is greater than the t statistics value the

Decision rule  is  

Fail to reject the null hypothesis

 The conclusion is  

There is sufficient evidence that indicate that there is a significant difference between the two treatments

i dont know

step-by-step explanation:

d 600 because 15*10*2=300

300+300=600

step-by-step explanation: