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

the best buy, is the 4- kilogram bag of lollipops for $18.40.

step-by-step explanation:

i found my answer by dividing the cost of each bag by their respective weights.

14.88 divided by 2 = 7.44

17.29 divided by 3 = 5.77

18.4 divided by 4 = 4.6

24.4 divided by 5 = 4.88

by this, i found that the 4 kilo bag is the best buy.

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step-by-step explanation:

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