Suppose, in fact, the mean annual consumption of popcorn after the marketing campaign is 58 58 quarts. has a type i or type ii error been made by the marketing department? if we tested this hypothesis at the alpha α equals = 0.01 0.01 level of significance, what is the probability of committing this error? select the correct choice below and fill in the answer box within your choice.

The marketing department committed a Type I error because the marketing department rejected the null hypothesis when it was true. The probability of making a Type I error is 0.01.

Explanation:

Null Hypothesis: H₀ : µ = 58.58

Alternative Hypothesis: H₁ : µ> 58.58

A type I error is made by the marketing department if the null hypothesis is rejected when it is true and a type II error occurs, when the marketing department  fails to reject the null hypothesis when it should be rejected.

The probability of making a Type I error is α, which is the level of significance you set for your hypothesis test, in our case 0.01 while the probability of making a Type II error is β, which depends on the power of the test.

Based on this we can therefore conclude that the marketing department committed a Type I error because the marketing department rejected the null hypothesis when it was true. The probability of making a Type I error is 0.01.

see below

step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.