Hello, everyone.

I can’t find the answer to question number four on this exercise

The Null Hypothesis is

Are the visitors too old? Or is this just the result of chance and a small sample size?

For this code

```
from scipy.stats import ttest_1samp
import numpy as np
ages = np.genfromtxt("ages.csv")
print(ages)
ages_mean = np.mean(ages)
print(ages_mean)
tstat, pval = ttest_1samp(ages, 30)
print(pval)
```

I get these numbers

```
[ 32. 34. 29. 29. 22. 39. 38. 37. 38. 36. 30. 26. 22. 22.] #ages list
31.0 #true mean
0.560515588817 #pvalue
```

And the question asked is

Does the p-value you got with the 1 Sample T-Test make sense, knowing the mean of

`ages`

?

The p-value says there is a 56% chance that my null hypothesis is true and the result is due to chance.

So an expected mean of 30 has 56% of chance that my null hypothesis is true, but the true mean is 31, this is pretty close to 30, i think that this result for p-value makes no sense at all. Given the true mean, it should be a much lower p-value for such a close expected mean.

Am i right in my thinking and my answer? I’m confused and have no confidence that this is a right train of thought.

Thank you for your time