21. A data professional conducts a hypothesis test to compare the mean time customers spend on two different versions of a company’s website. To start, they state the null hypothesis and the alternative hypothesis. What should they do next?

  • Find the margin of error.
  • Choose a significance level.
  • Find the p-value.
  • Reject or fail to reject the null hypothesis.

22. A data professional is conducting a hypothesis test. Their null hypothesis states that there is no difference between two population proportions. What type of test are they conducting?

  • Two-sample z-test
  • Two-sample t-test
  • One-sample z-test
  • One-sample t-test

23. A data professional conducts a hypothesis test to compare the mean annual sales of two different restaurants in the same restaurant chain. They write the following code:

scipy.stats.ttest.ind(a=530, b=550, equal_var=FALSE)

What does the argument equal_var=FALSE refer to?

  • Observations from the first sample
  • P-value
  • Whether or not the population variance of the two samples is assumed to be equal
  • Significance level

24. Which of the following statements accurately describe the null hypothesis? Select all that apply.

  • The null hypothesis typically assumes that observed data occurs by chance.
  • The null hypothesis typically assumes that observed data does not occur by chance.
  • The null hypothesis is assumed to be true unless there is convincing evidence to the contrary.
  • The null hypothesis is accepted as true only if there is convincing evidence for it.

25. What term describes the probability of rejecting the null hypothesis when it is true?

  • Statistical significance
  • Alternative hypothesis
  • P-value
  • Significance level

26. What is the third step when conducting a hypothesis test?

  • Reject of fail to reject the null hypothesis
  • Find the p-value
  • Choose a confidence level
  • Choose a significance level

27. A data professional conducts a hypothesis test. They choose a significance level of 10%. They calculate a p-value of 12.4%. What conclusion should they draw?

  • Reject the alternative hypothesis.
  • Fail to reject the null hypothesis.
  • Fail to reject the alternative hypothesis.
  • Reject the null hypothesis

28. A data professional conducts a hypothesis test. They choose a significance level of 1%. They calculate a p-value of 0.01%. What conclusion should they draw?

  • Reject the alternative hypothesis.
  • Fail to reject the alternative hypothesis.
  • Fail to reject the null hypothesis.
  • Reject the null hypothesis.
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