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8090 [49]
3 years ago
5

What is 33/23 rounded to the nearest tenth

Mathematics
1 answer:
Naya [18.7K]3 years ago
7 0

Answer:

1.4

Step-by-step explanation:

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In which direction will the parabola open?
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Answer:

Upward

Step-by-step explanation:

Use a graphing calculator

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How many terms does this polynomial have: 14mn - 5m + 8n +
jek_recluse [69]

Answer:

3

Step-by-step explanation:

a term is the number and/or variable in between of the symbols

7 0
3 years ago
V=8T/p solve p for pressure
Marysya12 [62]
It’s going to be a lot of pressure
8 0
2 years ago
5. True or False. (a) All other factors remaining the same, increasing the sample size, n, will decrease the width of a con denc
Igoryamba

Answer:

a) True

b) True

c) True

d) False

e) False

Step-by-step explanation:

(a) All other factors remaining the same, increasing the sample size, n, will decrease the width of a confidence interval.

True. Confidence intervals are calculated by calculating margin of error (ME) around the mean using the formula

ME=\frac{z*s}{\sqrt{N} } where

  • z is the corresponding statistic (z-score or t-score)
  • s is the standard deviation of the sample(or of the population if it is known)
  • N is the sample size

As the formula suggests, all other factors remaining the same, if we increase N, ME decreases.

b) We expect 95% of all 95% confidence intervals for the population mean to contain the sample mean.

True. This is what 95% confidence level assumes.

(c) The t-distribution is symmetric and centered at the population mean

True.

(d) The t-distribution is very similar to the standard normal distribution regardless of its degrees of freedom.

False. As the degrees of freedom increases t-distribution resembles the standard normal distribution. For small sample sizes (<30), this is not true.

(e) All other factors remaining the same, a 90% confidence interval for a population mean is narrower than an 95% confidence interval for the same population

False. 90% confidence interval for a population mean is wider than an 95% confidence interval for the same population

5 0
3 years ago
A bag contains 4 yellow balls, 5 red balls, and 6 blue balls.
I am Lyosha [343]

Answer:

A) The probability of picking a yellow ball from the bag is 26.66%.  

B) The probability of picking a blue ball from the bag is 40%.  

C) The probability of picking a yellow ball and then a blue ball is 11.42%.

Step-by-step explanation:

Since a bag contains 4 yellow balls, 5 red balls, and 6 blue balls, to determine what is the probability of picking a yellow ball from the bag, what is the probability of picking a blue ball from the bag and what is the probability of picking a yellow ball and then a blue ball after replacement, the following calculations must be performed:

A)

4 + 5 + 6 = 100

4 = X

15 = 100

4 = X

4 x 100/15 = X

400/15 = X

26.66 = X

Therefore, the probability of picking a yellow ball from the bag is 26.66%.

B)

15 = 100

6 = X

6 x 100/15 = X

600/15 = X

40 = X

Therefore, the probability of picking a blue ball from the bag is 40%.

C)

14 = 100

6 = X

6 x 100/14 = X

600/14 = X

42.85 = X

0.2666 x 0.4285 = X

0.1142 = X

Therefore, the probability of picking a yellow ball and then a blue ball is 11.42%.

4 0
2 years ago
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