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"Hypothesis Testing and P-Values Crossword Puzzle": HTML5 Crossword |
Across4. Hypotheses always refer to a ____________ parameter, not to a particular sample outcome. (10)
6. The claim about the population that we are trying to find evidence for is the _____ hypothesis. (11)
8. The goal of this type of inference is to assess the evidence provided by data about some claim concerning a population. (19)
10. The probability that measures the strength of the evidence against a null hypothesis is call a __-____. (6)
13. A _____ ________ calculated from the sample data measures how far the data diverge from what we would expect if the null hypothesis were true. (13)
14. If the sampling distribution falls far outside the normal curve, it's good evidence that the claim is true or false? (5)
16. In statistics, we deal with evidence provided by data and use a probability to say how _____ the evidence is. (6)
17. An observed value that has a mean that is outside the sampling distribution's normal curve would rarely occur just by ______ variation. (6)
18. Tests of significance test a claim about a... (9)
19. Small probability convinces you that a claim is true or false? (5)
20. The hypotheses should express the hopes or suspicions we have ________ we see the data. (6)
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Down1. Statistics symbols such as x-bar should never be used in a ________. (10)
2. You can say how strong the evidence is against a claim by giving the ___________. (11)
3. We usually wish to find evidence "against" the ____ hypothesis. (4)
5. An observed effect that is NOT significantly far from the mean os the sampling distribution is considered to have a ______ probability. (4)
7. Confidence intervals are used when your goal is to estimate this. (19)
9. The claim tested by a statistical test is called the ____ hypothesis. (4)
11. We compute probabilities on ________ values, not on parameter values. (9)
12. An observed effect is statistically significant when it is too ____ to be due to chance. (5)
15. If you do not have a specific _________ firmly in mind in advance for a hypothesis, use a two-sided alternative. (9)
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ACROSS
4. Hypotheses always refer to a ____________ parameter, not to a particular sample outcome. (10)
6. The claim about the population that we are trying to find evidence for is the _____ hypothesis. (11)
8. The goal of this type of inference is to assess the evidence provided by data about some claim concerning a population. (19)
10. The probability that measures the strength of the evidence against a null hypothesis is call a __-____. (6)
13. A _____ ________ calculated from the sample data measures how far the data diverge from what we would expect if the null hypothesis were true. (13)
14. If the sampling distribution falls far outside the normal curve, it's good evidence that the claim is true or false? (5)
16. In statistics, we deal with evidence provided by data and use a probability to say how _____ the evidence is. (6)
17. An observed value that has a mean that is outside the sampling distribution's normal curve would rarely occur just by ______ variation. (6)
18. Tests of significance test a claim about a... (9)
19. Small probability convinces you that a claim is true or false? (5)
20. The hypotheses should express the hopes or suspicions we have ________ we see the data. (6)
DOWN
1. Statistics symbols such as x-bar should never be used in a ________. (10)
2. You can say how strong the evidence is against a claim by giving the ___________. (11)
3. We usually wish to find evidence "against" the ____ hypothesis. (4)
5. An observed effect that is NOT significantly far from the mean os the sampling distribution is considered to have a ______ probability. (4)
7. Confidence intervals are used when your goal is to estimate this. (19)
9. The claim tested by a statistical test is called the ____ hypothesis. (4)
11. We compute probabilities on ________ values, not on parameter values. (9)
12. An observed effect is statistically significant when it is too ____ to be due to chance. (5)
15. If you do not have a specific _________ firmly in mind in advance for a hypothesis, use a two-sided alternative. (9)

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