Types of Data and Graphs
Describing and Comparing Data
Probability and Discrete Distributions
Continuous Distributions
Confidence Intervals and Hypothesis Tests
100
The shape of this Histogram.
Skewed left.
100
The symbol used to denote the sample mean.
x̄
100
All probabilities lie between these two values.
0 and 1.
100
In a standard normal distribution, find the P(z>1.5)
0.0668
100
Find the p-value if t = 1.27 , n = 24, and it's a two tailed test
0.2163
200
This type of data result when the data values are quantitative and the number of values is finite, or “countable.”
Discrete
200
The mean of this data:
0, 4, 2, 0, 1, 1, 2, 4, 3, 2
1.9
200
The value of C in the following probability distribution:
P(X=0)=0.4, P(X=1)=0.25, P(X=2)=C
0.35
200
The calculator function that would be used to find P(Z>1.35).
normalcdf
200
The calculator function used to create a confidence interval for a proportion.
1-PropZInt
300
A numerical measurement describing some characteristic of a population.
Parameter
300
The symbol for the standard deviation of a sample.
s
300
The probability you miss at most 1 day of classes in a week (PX≤ 1) where the number of missed classes has the following distribution:
P(X=0)=0.6, P(X=1)=0.1, P(X=2)= 0.25, P(X=3)=0.05
0.7
300
The probability that a randomly selected student takes between 10 and 20 minutes on a quiz if the time is normally distributed with a mean of 12 minutes and a standard deviation of 1.2 minutes.
0.9522
300
The alnernative hypothesis if you want to see if you can support the claim that more than 50% of cell phone users have an iPhone.
Note: H0: p=0.5
p>0.5
400
In this sampling technique, you select some starting point and then select every kth element in the population.
Systematic sampling
400
This rule states that a data value is considered unusually high if it is above 2 standard deviations from the mean or below 2 standard deviations from the mean.
Range Rule of Thumb
400
40.4% of consumers believe that cash will be obsolete in the next 20 years. Assume that 6 consumers are randomly selected. Find the probability that fewer than 3 of the selected consumers believe that cash will be obsolete in the next 20 years
0.536
400
The calculator function that would be used to find the value of Z so that 0.95 is the area to the left of Z.
invNorm
400
The calculator function used to conduct a hypothesis test for the mean.
T-Test
500
This type of graph would be used to display the average (mean) global temperatures for each of the most recent 100 years.
Time Series
500
For datasets that have a distribution that is approximately bell-shaped (or normal), this percentage of data should lie within 1 standard deviation from the mean.
68%
500
The probability at least 1 person is left-handed in a random sample of 4 people under the assumption that 10% of people are left-handed.
0.3439
500
Assume that the amounts of weight that male college students gain during their freshman year are normally distributed with a mean of μ=1.2 kg and a standard deviation of σ=4.5 kg. If 25 male college students are randomly selected, find the probability that their mean weight gain during freshman year is between 0 kg and 3 kg.
0.8860
500
The 99% confidence interval for the mean if x̄=5.2, s=0.57, n=35. (Round to two decimals).
(4.94, 5.46)