The features to present in 2023 z’s responsive a/t acceleration are:
- -2.0-liter 4-cylinder engine
- -Xtronic CVT®
<h3>What is a
responsive acceleration?</h3>
It is a features that allows the engine to move quickly in seconds to the maximum speed.
Hence, while demonstrating the 2023 z’s responsive a/t acceleration, we will point out the -2.0-liter 4-cylinder engine and Xtronic CVT
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<em>brainly.com/question/14799138</em>
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Answer:
Yes, because small children and fire-leery people should have longer sticks or skewers. Adults and braver campers should be fine with medium length sticks that allow their marshmallows in closer proximity to the fire. This means having a few inches of the stick or skewer exposed at the fire end beyond the marshmellow.
Answer:
Because in egland there was better framing land, more raid partys and better living conditions.
Explanation:
<h2>Question:</h2>
- Maya ______ were connected by culture political ties, and trade.
<h3>Answer:</h3>
<h2><u>City States</u></h2>
- Maya city states were connected by culture political ties, and trade. However,they often <u>fought</u> each other for <u>control of territory</u>.
- The ancient Maya faced many challenges in the area that they settled, which was called <u>Peten</u>.
- Swamps and sinkholes gave the Maya a year - round <u>source of water</u>. Sinkholes also gave the Maya access to a network of underground <u>rivers and structures.</u>
________
#LetsStudy
Answer: NON-EQUIVALENT GROUP DESIGN.
Explanation: A nonequivalent group design is a quasi‐experiment used to assess the relative effects of treatments that have been assigned to groups of participants non-randomly (adults whose name appeared in the local police report as child abuse victims, and those have never been victims). Because the participants have been assigned to treatments non-randomly by Dr. Rose, differences in the composition of the treatment groups can bias the estimates of the treatment effects. A variety of statistical methods are available for taking account of this selection bias. Each method imposes different assumptions about the nature of the selection effects, but it can be difficult to determine which set of assumptions is most appropriate in a given research setting.
