Given the following contingency table, conduct a test for independence at the 10% significance level. (You may find it useful to reference the appropriate table: chi-square table or F table) Variable A 2 Variable B 1 37 43 2 44 64 a. Choose the null and alternative hypotheses. O Hạ: The two variables are independent; Ha: The two variables are dependent. O Hạ: The two variables are dependent.; Ha: The two variables are independent. b. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic

The agriculture extension office wants to test the claim that GMO carrots are longer than Organic carrots. What kind of hypotheisis test is this? O 1 Proportion z-test 2 Proportions z-test 1 Mean t-test 2 Means Matched Pairs t-test 2 Independent Means t-test Which hypotheses do we want to test? O Họ: H1 = H2 HẠ: H1= H2 O Họ: H1 = H2 HA: H1 = H2 O Ho: H1 = H2 HA: H1> H2 O Ho: H1 = H2 HA: H1< H2

Tne roilowing tapie contains tne scores rom a group or 1ɔ nign scnooi seniors on a psycnoiogicai assessment or positive arrect ror tne supject or matn ana tneir scores on the same assessment for the subject of chemistry. The assessment measures the strength of the student's positive feelings towards the subject on a 40-point scale, with 40 being the most positive. Positive Affect Assessment Score for Math Assessment, x Score for Chemistry Assessment, y 25 20 31 24 7 10 31 25 10 4 8 27 26 9 8 10 9 9 29 28 16 17 23 17 26 14 40 28 Copy Data Step 1 of 2: Calculate the sum of squared errors, SSE, based on a regression analysis of the assessment data. Round your answer to two decimal places, if necessary.

The mean price of mid-sized cars in a region is $57,600. A test is conducted to see if the claim is true. Identify the null hypothesis. ? v? v Identify the alternative hypothesis. ? v:?v| ? v Identify the type I error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not $57,600. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is nor $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is $57,600. Identify the type II error. O You decide that the mean price of mid-sized cars is not $57,600, when the mean price of mid- sized cars actually is $57,600. O You decide that the mean price of mid-sized cars is $57,600, when the mean price of mid- sized cars actually is not…

Im confused on this problem

Help with Q4

need test statistics and p value

To test if TV preference and gender are independent, which hypothesis test would be used?    a. 2 Prop Z Test   b. Chi-square test   c. ! Sample T test   d. Linear Regression Test