University of Nueva Caceres
Z-scores and standardized scores
Are standardized scroes and z-scores the same thing?
Consider the following distribution of scores with mean 90 and standard deviation 30. Fill in the boxes beneath the line labeled "z" with the z-scores corresponding to each position in the distributic.
Suppose you alos want to standardize these scores to a "k" scale where the mean of k is 100 and the standeard deviation is 15. Fill in the boxes beneath the line labeled "k" with the k-scores corresponding to each positivon in the distribution.
1. In economics, firms are assumed to
(a) maximize output prices.
(b) manimize output prices.
(c) maximize profits
(d) maximize consumer surplus
2. Kip opens an account a Ltsa Goodies Store, and buys a digital music player and other items, but makes no payments on the account. To collect debt, Mako, the manger, contacts Kip's parents. This volates
(a) no federal law
(b) the fair and Accurate Credit Transactions Act
(c) the Fair Debt Collection Practices Act
(d) the Truth-in-Lending Act.
3. Laying by omission involves intentionally
(a) whihoulding materal facts
(b) creating "noise" within the communication that knowingly confuses or deceives the receiver.
(c) using highly technical language that the receiver does not understand.
(d) trying to not hurt someone's feelings.
4. All of the following are considered extrinsic motivators in Herzberg's two-factor theory EXCEPT:
(a) company policies.
(c) work itself
(d) working conditions.
5. A dividend will reduce which of the following accounts?
(b) Retained Earnings
(c) Common stock
(d) Accounts payable.
6. As the test statistic becomes larger, the p-value
(a) gets smaller
(b) becomes larger
(c) stays the same, since the sample size has not been changed
(d) becomes negative.
7. To describe the sampling distribution of the sample proportion, we use
(a) The sample proportion
(b) The population proportion
(c) The population mean
(d) The population mean
8. When small samples are used to estimate a population mean, in cases where the population standard deviation is unknown and the original distribution is normal:
(a) There always will be a large amount of sampling error.
(b) the t-distribution must be used to obtain the critical value.
(c) the resulting margin of error for a confidence interval estimate will tend to be fairly small.
(d) the z distribution must be used to obtain the critical value.
A statistic is said to be unbiased if
a.) it is used for only honest purposes.
b.) the survey used to obtain the statistic was designed so as to avoid even the hint of racial or sexual prejudice.
c.) both the person who calculated the statistic and the subjects whose responses make up the statistic were truthful.
d.) the mean of its sampling distribution is equal to the true value of the parameter being estimated.
What carbohydrates would give the following test results?
(a). Produces a reddish once solid with Benefits and red color with Seliweoff's reagent in 1 minute.
(b). Gives a coke charge with Benedict's test, a light once with Seliwanoff's reagent after 5 minutes, and produces so bubbles during fermentation.
(c) Gives to color change with Benefit's or Seliweoff's test, text rums a blue color with iodine reagent.
Astandard normal distribution has the following characteristics
(a) the mean and the variance are both equal to 1
(b) the mean and the variance are both equal to 0
(c) the mean is equal to the variance
(d) the mean is equal to 0 and the variance is equal to 1
(e) the mean is equal to the stanard deviation
A Compute and interpret the mean of the random variable x
B Compute the standard deviation of the random variable x.
C. What is the probability that a randomly selected student has a parent involved in three activities?
D What is the probability that a randomly selected student has a parent involved in three or four activities?
In the following probability distribution, the random variable x represents the number of activities a K to the 5th-grade student is involved in.
Complete parts (a) through (f) below.
x 0 1 2 3 4
P(x) 0.299 0.145 0.234 0.053 0.269
(a) Verify that this a discrete probability distribution.
Determine whether the variable is qualitative or quantitative. Explain your reasoning.
a.) The variable is qualitative because an address describes an attribute or characteristic.
b.) The variable is quantitative because an address describes an attribute or characteristic.
c.) The variable is qualitative because an address is found by measuring or counting.
d.) The variable is quantitative because an address is found by measuring or counting.
Determine whether the distribution is a discrete probability distribution. X P(x) 1 0.26 2 0.33 3 0.27 4 50 0.28 -0.14 Is the distribution a discrete probability distribution?
A. No, because the sum of the probabilties is not equal to 1.
B. Yes, because the sum of the probabilities is equal to 1.
C. Yes, because the sum of the probabilities is equal to 1 and each probability is between 0 and 1, inclusive.
D. No, because each probability is not between 0 and 1, inclusive.