🔠 Quizizz - Statistical Inference

A bag has 3 red marbles, 2 blue and 4 green and 1 yellow. What is the theoretical probability of pulling a red?

• 3/10

• 3/9

• 1/10

• 1/9

What is the probability of the spinner landing on red?

• 5/12
• 7/12

• 5/5
• 5/10 or 1/2

Mrs. Trevino has 3 red pens, 5 pink pens, and 8 blue pens. What is the probability that she will choose a blue pen to grade papers?

• 1/2

• 8

• 3/16

• 16/8

What is the primary goal of hypothesis testing in the context of diagnostic data analytics?

• To prove a theory beyond any doubt

• To determine if there is enough evidence to support or reject a specific claim

• To calculate the exact value of data points

• To visualize data trends over time

• It states there is a significant effect or difference.

• It is the hypothesis that there is no effect, no difference, or no relationship.

• It must always be proven true.

• It is always associated with non-traditional methods.

What role does the p-value play in hypothesis testing?

• It determines the budget for the research.

• • It measures the probability that the results are due to chance.

• It visualizes data on a graph.

• It is used to collect data.

What does a significance level of 0.05 indicate in hypothesis testing?

• There is a 5% probability of rejecting the null hypothesis when it is actually true.

• There is a 95% chance that the null hypothesis is true.

• The data is 5% accurate.

• The p-value must be greater than 0.05 to reject the null hypothesis.

What conclusion should be drawn if the p-value is 0.03 and the significance level is set at 0.05?

• The null hypothesis should be rejected because there is sufficient evidence against it.

• The null hypothesis should not be rejected because there is not enough evidence against it.

• The p-value is too high to make a conclusive decision.

• • The test should be re-conducted as the results are inconclusive.

If the p-value is 0.07 and the significance level is set at 0.05, what is the appropriate decision regarding the null hypothesis?

• Reject the null hypothesis because the p-value is close to the significance level.

• Do not reject the null hypothesis because the p-value exceeds the significance level.

• Increase the significance level to match the p-value and then reassess.

• The p-value indicates the data is not valid.