Answer:
d. Decrease
Step-by-step explanation:
A Type II error is when we fail to reject a false null hypothesis. Higher values of α make it easier to reject the null hypothesis, so choosing higher values for α can reduce the probability of a Type II error.
The consequence here is that if the null hypothesis is true, increasing α makes it more likely that we commit a Type I error (rejecting a true null hypothesis).
So using lower values of α can increase the probability of a Type II error.
Raising the level of significance in a hypothesis test from .01 to .05 would decrease the probability of making a Type II error. This is because as we become more accepting of risk in making a Type I error, we simultaneously reduce the risk of making a Type II error.
The level of significance in a hypothesis test is the probability that we are willing to accept for incorrectly rejecting the null hypothesis or making a Type I error. If the level of significance is raised, there is a higher chance we incorrectly reject the null hypothesis, increasing the chances of a Type I error. However, this also has an effect on the probability of committing a Type II error, which is to incorrectly accept the null hypothesis.
Specifically, when the level of significance of a hypothesis test is raised from .01 to .05, the probability of a Type II error (option b) will decrease. The reason for this is that increasing the level of significance or alpha means we are more likely to reject the null hypothesis. As we are more accepting of risk in terms of making a Type I error, we are less likely to make a Type II error, as the two error types often move in opposite directions. Thus, the answer to your question is d. The probability of a Type II error will decrease if the significance level is raised from .01 to .05.
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Answer:
Step-by-step explanation:
Total amount of apple John has = 5 apples
Amount given out to his friend = 2 apples
Number of apples Joh have left = Total amount of apple - Amount given out
Number of apples Joh have left = 5 apples - 2 apples
Number of apples Joh have left = 3 apples
Hence John has 3 apples left
Miguel paid 70% of the original price for the bicycle. The original price was calculated as approximately $175 by dividing the price Miguel paid ($122.50) by 70% (the remaining percentage after the 30% discount).
Miguel paid $122.50 for a bicycle which was discounted by 30%. So, the $122.50 represents the 70% of the original price (because 100% - 30% = 70%). To find out what 100% (the original price) is, we need to perform a calculation where we divide the price paid by Miguel ($122.50) by 70% (in decimal format, that's 0.70).
The formula would structure as below:
Original Price = Price Paid / Percentage of Original Price Paid
Substituting in the values provided, the equation would be:
Original Price = $122.50 / 0.70
Following through with this calculation, we find that the original price of the bicycle was approximately $175. Therefore, Miguel paid 70% of the original price, as that's the remaining percentage after the 30% discount.
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b. Use a 90% confidence interval to estimate the difference in the proportions who donate for the two different treatments
c. Is there convincing evidence that the proportion who make a donation is not the same for the two different methods? Carry out a hypothesis test using a significance level of 0.05.
d. Is there convincing evidence that the proportion who make a donation after receiving an email is smaller than the proportion who make a donation after receiving a text message? Carry out a hypothesis test using a significance level of 0.10.
Answer:
IT SAYS YOU IN COLLEGE SOOO YOU SHOULD BE ABLE TO ANSWER IT YOUR SELF
Step-by-step explanation:
o 44
O 4y
o 8
o gy
Answer:
B is the answer of the question
Answer:
The answer is 4y8
Step-by-step explanation:
B. Order of questions
C. Sensitive questions
D. All of the above
Answer:A
Step-by-step explanation:
Answer:
coffecient of y is -3
hope it helps you
Step-by-step explanation: