tricotasu

2020-10-18

Would you expect distributions of these variables to be uniform, unimodal, or bimodal? Symmetric or skewed? Explain why.

a) The number of speeding tickets each student in the senior class of a college has ever had.

b) Players’ scores (number of strokes) at the U.S. Open golf tournament in a given year.

c) Weights of female babies born in a particular hospital over the course of a year.

d) The length of the average hair on the heads of students in a large class.

a) The number of speeding tickets each student in the senior class of a college has ever had.

b) Players’ scores (number of strokes) at the U.S. Open golf tournament in a given year.

c) Weights of female babies born in a particular hospital over the course of a year.

d) The length of the average hair on the heads of students in a large class.

likvau

Skilled2020-10-19Added 75 answers

a) Unimodal (near 0) and skewed. Many seniors will have 0 or 1 speeding tickets. Some may have several, and a few may have more than that.

b) Probably unimodal and slightly skewed to the right. It is easier to score 15 strokes over the mean than 15 strokes under the mean.

c) Probably unimodal and symmetric. Weights may be equally likely to be over or under the average.

d) Probably bimodal. Men's and women's distributions may have different modes. It may also be skewed to the right, since it is possible to have very long hair, but hair length can't be negative.

b) Probably unimodal and slightly skewed to the right. It is easier to score 15 strokes over the mean than 15 strokes under the mean.

c) Probably unimodal and symmetric. Weights may be equally likely to be over or under the average.

d) Probably bimodal. Men's and women's distributions may have different modes. It may also be skewed to the right, since it is possible to have very long hair, but hair length can't be negative.

Nick Camelot

Skilled2023-06-16Added 164 answers

Mr Solver

Skilled2023-06-16Added 147 answers

Construct all random samples consisting three observations from the given data. Arrange the observations in ascending order without replacement and repetition.

86 89 92 95 98.Read carefully and choose only one option

A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately NormalFind the mean of the following data: 12,10,15,10,16,12,10,15,15,13.

The equation has a positive slope and a negativey-intercept.

1) y=−2x−3

2) y=2−3x

3) y=2+3x

4) y=−2+3xWhat term refers to the standard deviation of the sampling distribution?

Fill in the blanks to make the statement true: $30\%of\u20b9360=\_\_\_\_\_\_\_\_$.

What percent of $240$ is $30$$?$

The first 15 digits of pi are as follows: 3.14159265358979

The frequency distribution table for the digits is as follows:

$\begin{array}{|cc|}\hline DIGIT& FREQUENCY\\ 1& 2\\ 2& 1\\ 3& 2\\ 4& 1\\ 5& 3\\ 6& 1\\ 7& 1\\ 8& 1\\ 9& 3\\ \hline\end{array}$

Which two digits appear for 3 times each?

A) 1, 7

B) 2, 6

C) 5, 9<br<D) 3, 8How to write

as a percent?$\frac{2}{20}$ What is the simple interest of a loan for $1000 with 5 percent interest after 3 years?

What number is 12% of 45?

The probability that an automobile being filled with gasoline also needs an oil change is 0.30; the probability that it needs a new oil filter is 0.40; and the probability that both the oil and the filter need changing is 0.10. (a) If the oil has to be changed, what is the probability that a new oil filter is needed? (b) If a new oil filter is needed, what is the probability that the oil has to be changed?

Leasing a car. The price of the car is$45,000. You have $3000 for a down payment. The term of the lease is and the interest rate is 3.5% APR. The buyout on the lease is51% of its purchase price and it is due at the end of the term. What are the monthly lease payments (before tax)?

The mean of sample A is significantly different than the mean of sample B. Sample A: $59,33,74,62,87,73$ Sample B: $53,67,72,57,93,79$ Use a two-tailed $t$-test of independent samples for the above hypothesis and data. What is the $p$-value?

What is mean and its advantages?