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t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.
Consider the following t-test assumptions and investigate if your sample holds.

• Continuous variable, i.e., extrinsic and intrinsic scores are measured as quantitative variable
• Each observation is independent of other observations
• variable has a normal distribution

t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.
Consider the following t-test assumptions and investigate if your sample holds.

• Continuous variable, i.e., extrinsic and intrinsic scores are measured as quantitative variable
• Each observation is independent of other observations
• Variable has a normal distribution (plot histogram of extrinsic scores and intrinsic scores to see if the distribution is normal)

t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.

t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.
Consider the following t-test assumptions and investigate if your sample holds.

• Continuous variable, i.e., extrinsic and intrinsic scores are measured as quantitative variable
• Each observation is independent of other observations
• variable has a normal distribution

One sample t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.

t-test should do your job. As a driver for further education, external motivation has a mean $\bar x_{extrinsic} = 5.15$ and internal motivation $\bar x_{intrinsic} = 4.72$. Findings from your sample indicates that students pursue master's degree motivated more extrinsically than intrinsically. Given the sample findings, you can test the hypothesis ($H_0: \mu_{extrinsic} \leq \mu_{intrinsic}$ ; $H_a: \mu_{extrinsic} \gt \mu_{intrisic} $) if the findings are significant for the entire population (all students pursuing master's are motivated more by extrinsic factors than intrinsic ones). Note that one-tailed t-test needs to be used because you are interested in whether one mean is larger than the other, not just in whether they are unequal.