Answer:
oh well thanks
Step-by-step explanation:
Since you start with 52 cards, and are drawing 3 cards you multiply 52 * 51 * 50 then divide that product by 3 * 2 because it doesn’t matter what order the cards are drawn in. 52 * 51 * 50/ 3 * 2 = 22,100 different combinations of 3 cards
...hope it helps you...all the best
The fractions is solved and the improper fraction is A = 29/8
Given data ,
To change 3 5/8 into an improper fraction, we need to combine the whole number and the fraction part.
The fraction part, 5/8, can be expressed as an improper fraction by multiplying the whole number, 3, by the denominator of the fraction, 8, and then adding the numerator, 5. This gives us:
3 * 8 + 5 = 24 + 5 = 29
The denominator remains the same, so the improper fraction is:
A = 29/8
Therefore , the value of A = 29/8
Hence , 3 5/8 can be expressed as the improper fraction 29/8
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Answer:
The improper fraction 29/8 is equal to the mixed number 3 5/8.
Step-by-step explanation:
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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4cos(4x)sin(10x)
Answer:
2/5 or 0.4
Step-by-step explanation:
Answer:
what is the Question
Step-by-step explanation:
Answer:
0.06
Step-by-step explanation:
6% = 0.06
0.06 as a decimal Hope this helped!