Arandom sample of 11 nursing students from group 1 resulted in a mean score of 41.3 with a standard deviation of 6.8. a random sample of 14 nursing students from group 2 resulted in a mean score of 54.8 with a standard deviation of 6. can you conclude that the mean score for group 1 is significantly lower than the mean score for group 2? let μ1 represent the mean score for group 1 and μ2 represent the mean score for group 2. use a significance level of α=0.1 for the test. assume that the population variances are equal and that the two populations are normally distributed.

At 1% significance level,  this difference is considered to be extremely statistically significant.

Step-by-step explanation:

 Group   Group One     Group Two  

Mean41.30054.800

SD6.8006.000

SEM2.0501.604

N11      14      

H0: Mean of group I = Mean of group II

Ha: Mean of group I < mean of group II

(Left tailed test at 1% significance level)

  The mean of Group One minus Group Two equals -13.500

 standard error of difference = 2.563

 t = 5.2681

 df = 23

 p value= 0.00005

Since p < significance level, reject H0

10a^3+277a^2-132a-792

step-by-step explanation:

(2a+11)(5a-12)(foil)

=10a^2-24a+55a-132 =10a^2+31a-132

(10a^2+31a-132)(a+6)

=10a^3+60a^2+31a^2+186a^2-132a-792 =10a^3+277a^2-132a-792

i hope this is what you are looking for : )